765 lines
		
	
	
		
			30 KiB
		
	
	
	
		
			Go
		
	
	
		
			Executable File
		
	
	
	
	
			
		
		
	
	
			765 lines
		
	
	
		
			30 KiB
		
	
	
	
		
			Go
		
	
	
		
			Executable File
		
	
	
	
	
[
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						||
    {
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						||
        "api": "/oc/data/",
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						||
        "content": [
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            {
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                "name": "Mundi Sentienl 3 SRAL Images",
 | 
						||
                "short_description": "Mundi Sentinels 3 SAR Altiemter image",
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						||
                "logo": "https://cloud.o-forge.io/core/deperecated-oc-catalog/raw/branch/main/scripts/local_imgs/Mundi Sentienl 3 SRAL Images.png",  
 | 
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                "description": "A very long description of what this data is",
 | 
						||
                "owner": "Mundi Web",
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						||
                "example": "string",
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						||
                "datatype": "string",
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						||
                "source_url": "string"
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            },
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						||
            {
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                "name": "Mundi Sentienl 3 OLCI Images",
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						||
                "short_description": "Mundi Sentinels 3 Ocean and land color Altiemter image",
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						||
                "logo": "https://cloud.o-forge.io/core/deperecated-oc-catalog/raw/branch/main/scripts/local_imgs/Mundi Sentienl 3 OLCI Images.png",
 | 
						||
                "description": "A very long description of what this data is",
 | 
						||
                "owner": "Mundi Web",
 | 
						||
                "example": "string",
 | 
						||
                "datatype": "string",
 | 
						||
                "source_url": "string"
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						||
            },
 | 
						||
            {
 | 
						||
                "name": "Meteo-France forecasts",
 | 
						||
                "short_description": "Meteo France weather forecasts",
 | 
						||
                "logo": "https://cloud.o-forge.io/core/deperecated-oc-catalog/raw/branch/main/scripts/local_imgs/Meteo-France forecasts.png",
 | 
						||
                "description": "A very long description of what this data is",
 | 
						||
                "owner": "Meteo-France",
 | 
						||
                "example": "string",
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						||
                "datatype": "string",
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						||
                "source_url": "string"
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						||
            },
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						||
            {
 | 
						||
                "name": "Meteo-France wind archive",
 | 
						||
                "short_description": "Meteo France wind archive",
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						||
                "logo": "https://cloud.o-forge.io/core/deperecated-oc-catalog/raw/branch/main/scripts/local_imgs/Meteo-France wind archive.png",
 | 
						||
                "description": "A very long description of what this data is",
 | 
						||
                "owner": "Meteo-France",
 | 
						||
                "example": "string",
 | 
						||
                "datatype": "string",
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						||
                "source_url": "string"
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            }
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        ]
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    },
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    {
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        "api": "/oc/processing/",
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        "content": [
 | 
						||
            {
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                "name": "SAR High points",
 | 
						||
                "short_description": "SAR Altimeter High points extraction Software",
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						||
                "logo": "https://cloud.o-forge.io/core/deperecated-oc-catalog/raw/branch/main/scripts/local_imgs/SAR High points.png",
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						||
                "description": "A very long description of what this data is",
 | 
						||
                "owner": "IRT",
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						||
                "price": 300,
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						||
                "license": "GPLv2",
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						||
                "cpus": [{
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						||
                    "cores": 8,
 | 
						||
                    "architecture": "x86",
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						||
                    "shared": false
 | 
						||
                }],
 | 
						||
                "ram": 1024,
 | 
						||
                "storage": 300,
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						||
                "gpus": [
 | 
						||
                    {
 | 
						||
                        "cuda_cores": 10496,
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						||
                        "model": "RTX 3090 FE",
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						||
                        "memory": 24000,
 | 
						||
                        "tensor_cores": 328
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						||
                    },
 | 
						||
                    {
 | 
						||
                        "cuda_cores": 10496,
 | 
						||
                        "model": "RTX 3090 FE",
 | 
						||
                        "memory": 24000,
 | 
						||
                        "tensor_cores": 328
 | 
						||
                    },
 | 
						||
                    {
 | 
						||
                        "cuda_cores": 10496,
 | 
						||
                        "model": "RTX 3090 FE",
 | 
						||
                        "memory": 24000,
 | 
						||
                        "tensor_cores": 328
 | 
						||
                    },
 | 
						||
                    {
 | 
						||
                        "cuda_cores": 10496,
 | 
						||
                        "model": "RTX 3090 FE",
 | 
						||
                        "memory": 24000,
 | 
						||
                        "tensor_cores": 328
 | 
						||
                    },
 | 
						||
                    {
 | 
						||
                        "cuda_cores": 10496,
 | 
						||
                        "model": "RTX 3090 FE",
 | 
						||
                        "memory": 24000,
 | 
						||
                        "tensor_cores": 328
 | 
						||
                    },
 | 
						||
                    {
 | 
						||
                        "cuda_cores": 10496,
 | 
						||
                        "model": "RTX 3090 FE",
 | 
						||
                        "memory": 24000,
 | 
						||
                        "tensor_cores": 328
 | 
						||
                    },
 | 
						||
                    {
 | 
						||
                        "cuda_cores": 10496,
 | 
						||
                        "model": "RTX 3090 FE",
 | 
						||
                        "memory": 24000,
 | 
						||
                        "tensor_cores": 328
 | 
						||
                    },
 | 
						||
                    {
 | 
						||
                        "cuda_cores": 10496,
 | 
						||
                        "model": "RTX 3090 FE",
 | 
						||
                        "memory": 24000,
 | 
						||
                        "tensor_cores": 328
 | 
						||
                    }
 | 
						||
                ],
 | 
						||
                "disk_io": "30 MB/s",
 | 
						||
                "parallel": true,
 | 
						||
                "scaling_model": 2,
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						||
                "source_url": "http://www.google.com"
 | 
						||
            },
 | 
						||
            {
 | 
						||
                "name": "Flammable vegetation slicer",
 | 
						||
                "short_description": "Analyze land cover and define optimum vegetation slices to prevent fire propagation",
 | 
						||
                "logo": "https://cloud.o-forge.io/core/deperecated-oc-catalog/raw/branch/main/scripts/local_imgs/Flammable vegetation slicer.png",
 | 
						||
                "description": "A very long description of what this data is",
 | 
						||
                "cpus": [{
 | 
						||
                    "cores": 8,
 | 
						||
                    "architecture": "x86",
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						||
                    "shared": false
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						||
                }],
 | 
						||
                "ram": 4096,
 | 
						||
                "storage": 30000,
 | 
						||
                "disk_io": "30 MB/s",
 | 
						||
                "parallel": true,
 | 
						||
                "scaling_model": 2,
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						||
                "owner": "Gob.fr",
 | 
						||
                "price": 330,
 | 
						||
                "license": "Copyright",
 | 
						||
                "source_url": "http://www.google.com"
 | 
						||
            },
 | 
						||
            {
 | 
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                "name": "Long term fire risk mitigation planner",
 | 
						||
                "short_description": "Long term fire risk mitigation planner : provides list of actions to be performed to mitigate fire propagation",
 | 
						||
                "logo": "https://cloud.o-forge.io/core/deperecated-oc-catalog/raw/branch/main/scripts/local_imgs/Long term fire risk mitigation planner.png",
 | 
						||
                "description": "A very long description of what this data is",
 | 
						||
                "cpus": [{
 | 
						||
                    "cores": 8,
 | 
						||
                    "architecture": "x86",
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						||
                    "shared": false
 | 
						||
                }],
 | 
						||
                "ram": 1024,
 | 
						||
                "disk_io": "30 MB/s",
 | 
						||
                "parallel": false,
 | 
						||
                "scaling_model": 2,
 | 
						||
                "owner": "Gob.fr",
 | 
						||
                "price": 30,
 | 
						||
                "license": "GPLv3",
 | 
						||
                "source_url": "http://www.google.com"
 | 
						||
            },
 | 
						||
            {
 | 
						||
                "name": "Fire propagation simulator",
 | 
						||
                "short_description": "Fire propagation simulator",
 | 
						||
                "logo": "https://cloud.o-forge.io/core/deperecated-oc-catalog/raw/branch/main/scripts/local_imgs/Fire propagation simulator.png",
 | 
						||
                "description": "A very long description of what this data is",
 | 
						||
                "cpus": [{
 | 
						||
                    "cores": 8,
 | 
						||
                    "architecture": "x86",
 | 
						||
                    "shared": false
 | 
						||
                }],
 | 
						||
                "ram": 8192,
 | 
						||
                "storage": 30000,
 | 
						||
                "gpus": [
 | 
						||
                    {
 | 
						||
                        "cuda_cores": 10496,
 | 
						||
                        "model": "RTX 3090 FE",
 | 
						||
                        "memory": 24000,
 | 
						||
                        "tensor_cores": 328
 | 
						||
                    }
 | 
						||
                ],
 | 
						||
                "disk_io": "30 MB/s",
 | 
						||
                "parallel": true,
 | 
						||
                "scaling_model": 2,
 | 
						||
                "owner": "Gob.fr",
 | 
						||
                "price": 39,
 | 
						||
                "license": "GPLv3",
 | 
						||
                "source_url": "http://www.google.com"
 | 
						||
            },
 | 
						||
            {
 | 
						||
                "name": "Environment builder",
 | 
						||
                "short_description": "build simulated environment from real environmental data and fire mitigation rules ",
 | 
						||
                "logo": "https://cloud.o-forge.io/core/deperecated-oc-catalog/raw/branch/main/scripts/local_imgs/Environment builder.png",
 | 
						||
                "description": "A very long description of what this data is",
 | 
						||
                "cpus": [{
 | 
						||
                    "cores": 8,
 | 
						||
                    "architecture": "x86",
 | 
						||
                    "shared": false
 | 
						||
                }],
 | 
						||
                "ram": 2049,
 | 
						||
                "storage": 500,
 | 
						||
                "gpus": [
 | 
						||
                    {
 | 
						||
                        "cuda_cores": 10496,
 | 
						||
                        "model": "RTX 3090 FE",
 | 
						||
                        "memory": 24000,
 | 
						||
                        "tensor_cores": 328
 | 
						||
                    },
 | 
						||
                    {
 | 
						||
                        "cuda_cores": 10496,
 | 
						||
                        "model": "RTX 3090 FE",
 | 
						||
                        "memory": 24000,
 | 
						||
                        "tensor_cores": 328
 | 
						||
                    },
 | 
						||
                    {
 | 
						||
                        "cuda_cores": 10496,
 | 
						||
                        "model": "RTX 3090 FE",
 | 
						||
                        "memory": 24000,
 | 
						||
                        "tensor_cores": 328
 | 
						||
                    },
 | 
						||
                    {
 | 
						||
                        "cuda_cores": 10496,
 | 
						||
                        "model": "RTX 3090 FE",
 | 
						||
                        "memory": 24000,
 | 
						||
                        "tensor_cores": 328
 | 
						||
                    },
 | 
						||
                    {
 | 
						||
                        "cuda_cores": 10496,
 | 
						||
                        "model": "RTX 3090 FE",
 | 
						||
                        "memory": 24000,
 | 
						||
                        "tensor_cores": 328
 | 
						||
                    }
 | 
						||
                ],
 | 
						||
                "disk_io": "30 MB/s",
 | 
						||
                "parallel": true,
 | 
						||
                "scaling_model": 2,
 | 
						||
                "owner": "Gob.fr",
 | 
						||
                "price": 39,
 | 
						||
                "license": "GPLv3",
 | 
						||
                "source_url": "http://www.google.com"
 | 
						||
            },
 | 
						||
            {
 | 
						||
                "name": "CURL",
 | 
						||
                "image" : "curlimages/curl:7.88.1",
 | 
						||
                "short_description": "Transfer or retrieve information from or to a server ",
 | 
						||
                "logo": "https://cloud.o-forge.io/core/deperecated-oc-catalog/raw/branch/main/scripts/local_imgs/curl-logo.png",
 | 
						||
                "description": "curl  is  a tool for transferring data from or to a server. It supports these protocols: DICT, FILE, FTP, FTPS, GOPHER, GOPHERS,  HTTP,  HTTPS, IMAP,  IMAPS,  LDAP,  LDAPS, MQTT, POP3, POP3S, RTMP, RTMPS, RTSP, SCP, SFTP, SMB, SMBS, SMTP, SMTPS, TELNET, TFTP, WS and WSS.",
 | 
						||
                "owner": "IRT",
 | 
						||
                "price": 300,
 | 
						||
                "license": "GPLv2",
 | 
						||
                "cpus": [{
 | 
						||
                    "cores": 8,
 | 
						||
                    "architecture": "x86",
 | 
						||
                    "shared": false
 | 
						||
                }],
 | 
						||
                "ram": 1024,
 | 
						||
                "storage": 300,
 | 
						||
                "gpus": [
 | 
						||
                    {
 | 
						||
                        "cuda_cores": 10496,
 | 
						||
                        "model": "RTX 3090 FE",
 | 
						||
                        "memory": 24000,
 | 
						||
                        "tensor_cores": 328
 | 
						||
                    },
 | 
						||
                    {
 | 
						||
                        "cuda_cores": 10496,
 | 
						||
                        "model": "RTX 3090 FE",
 | 
						||
                        "memory": 24000,
 | 
						||
                        "tensor_cores": 328
 | 
						||
                    },
 | 
						||
                    {
 | 
						||
                        "cuda_cores": 10496,
 | 
						||
                        "model": "RTX 3090 FE",
 | 
						||
                        "memory": 24000,
 | 
						||
                        "tensor_cores": 328
 | 
						||
                    },
 | 
						||
                    {
 | 
						||
                        "cuda_cores": 10496,
 | 
						||
                        "model": "RTX 3090 FE",
 | 
						||
                        "memory": 24000,
 | 
						||
                        "tensor_cores": 328
 | 
						||
                    },
 | 
						||
                    {
 | 
						||
                        "cuda_cores": 10496,
 | 
						||
                        "model": "RTX 3090 FE",
 | 
						||
                        "memory": 24000,
 | 
						||
                        "tensor_cores": 328
 | 
						||
                    },
 | 
						||
                    {
 | 
						||
                        "cuda_cores": 10496,
 | 
						||
                        "model": "RTX 3090 FE",
 | 
						||
                        "memory": 24000,
 | 
						||
                        "tensor_cores": 328
 | 
						||
                    },
 | 
						||
                    {
 | 
						||
                        "cuda_cores": 10496,
 | 
						||
                        "model": "RTX 3090 FE",
 | 
						||
                        "memory": 24000,
 | 
						||
                        "tensor_cores": 328
 | 
						||
                    },
 | 
						||
                    {
 | 
						||
                        "cuda_cores": 10496,
 | 
						||
                        "model": "RTX 3090 FE",
 | 
						||
                        "memory": 24000,
 | 
						||
                        "tensor_cores": 328
 | 
						||
                    }
 | 
						||
                ],
 | 
						||
                "disk_io": "30 MB/s",
 | 
						||
                "parallel": true,
 | 
						||
                "scaling_model": 2,
 | 
						||
                "source_url": "http://www.google.com"
 | 
						||
            },
 | 
						||
            {
 | 
						||
                "name": "alpine",
 | 
						||
                "image" : "alpine:3.7",
 | 
						||
                "short_description": "A minimal Docker image ",
 | 
						||
                "logo": "https://cloud.o-forge.io/core/deperecated-oc-catalog/raw/branch/main/scripts/local_imgs/alpine-logo.png",
 | 
						||
                "description": "Alpine Linux is a Linux distribution built around musl libc and BusyBox. The image is only 5 MB in size and has access to a package repository that is much more complete than other BusyBox based images. This makes Alpine Linux a great image base for utilities and even production applications",
 | 
						||
                "owner": "IRT",
 | 
						||
                "price": 300,
 | 
						||
                "license": "GPLv2",
 | 
						||
                "cpus": [{
 | 
						||
                    "cores": 8,
 | 
						||
                    "architecture": "x86",
 | 
						||
                    "shared": false
 | 
						||
                }],
 | 
						||
                "ram": 1024,
 | 
						||
                "storage": 300,
 | 
						||
                "gpus": [
 | 
						||
                    {
 | 
						||
                        "cuda_cores": 10496,
 | 
						||
                        "model": "RTX 3090 FE",
 | 
						||
                        "memory": 24000,
 | 
						||
                        "tensor_cores": 328
 | 
						||
                    },
 | 
						||
                    {
 | 
						||
                        "cuda_cores": 10496,
 | 
						||
                        "model": "RTX 3090 FE",
 | 
						||
                        "memory": 24000,
 | 
						||
                        "tensor_cores": 328
 | 
						||
                    },
 | 
						||
                    {
 | 
						||
                        "cuda_cores": 10496,
 | 
						||
                        "model": "RTX 3090 FE",
 | 
						||
                        "memory": 24000,
 | 
						||
                        "tensor_cores": 328
 | 
						||
                    },
 | 
						||
                    {
 | 
						||
                        "cuda_cores": 10496,
 | 
						||
                        "model": "RTX 3090 FE",
 | 
						||
                        "memory": 24000,
 | 
						||
                        "tensor_cores": 328
 | 
						||
                    },
 | 
						||
                    {
 | 
						||
                        "cuda_cores": 10496,
 | 
						||
                        "model": "RTX 3090 FE",
 | 
						||
                        "memory": 24000,
 | 
						||
                        "tensor_cores": 328
 | 
						||
                    },
 | 
						||
                    {
 | 
						||
                        "cuda_cores": 10496,
 | 
						||
                        "model": "RTX 3090 FE",
 | 
						||
                        "memory": 24000,
 | 
						||
                        "tensor_cores": 328
 | 
						||
                    },
 | 
						||
                    {
 | 
						||
                        "cuda_cores": 10496,
 | 
						||
                        "model": "RTX 3090 FE",
 | 
						||
                        "memory": 24000,
 | 
						||
                        "tensor_cores": 328
 | 
						||
                    },
 | 
						||
                    {
 | 
						||
                        "cuda_cores": 10496,
 | 
						||
                        "model": "RTX 3090 FE",
 | 
						||
                        "memory": 24000,
 | 
						||
                        "tensor_cores": 328
 | 
						||
                    }
 | 
						||
                ],
 | 
						||
                "disk_io": "30 MB/s",
 | 
						||
                "parallel": true,
 | 
						||
                "scaling_model": 2,
 | 
						||
                "source_url": "http://www.google.com"
 | 
						||
            },
 | 
						||
            {
 | 
						||
                "name": "alpr",
 | 
						||
                "image" : "openalpr/openalpr",
 | 
						||
                "short_description": "Open source Automatic License Plate Recognition library.",
 | 
						||
                "logo": "https://cloud.o-forge.io/core/deperecated-oc-catalog/raw/branch/main/scripts/local_imgs/alpr-logo.png",
 | 
						||
                "description": "Deploy license plate and vehicle recognition with Rekor’s OpenALPR suite of solutions designed to provide invaluable vehicle intelligence which enhances business capabilities, automates tasks, and increases overall community safety!",
 | 
						||
                "owner": "IRT",
 | 
						||
                "price": 300,
 | 
						||
                "license": "GPLv2",
 | 
						||
                "cpus": [{
 | 
						||
                    "cores": 8,
 | 
						||
                    "architecture": "x86",
 | 
						||
                    "shared": false
 | 
						||
                }],
 | 
						||
                "ram": 1024,
 | 
						||
                "storage": 300,
 | 
						||
                "gpus": [
 | 
						||
                    {
 | 
						||
                        "cuda_cores": 10496,
 | 
						||
                        "model": "RTX 3090 FE",
 | 
						||
                        "memory": 24000,
 | 
						||
                        "tensor_cores": 328
 | 
						||
                    },
 | 
						||
                    {
 | 
						||
                        "cuda_cores": 10496,
 | 
						||
                        "model": "RTX 3090 FE",
 | 
						||
                        "memory": 24000,
 | 
						||
                        "tensor_cores": 328
 | 
						||
                    },
 | 
						||
                    {
 | 
						||
                        "cuda_cores": 10496,
 | 
						||
                        "model": "RTX 3090 FE",
 | 
						||
                        "memory": 24000,
 | 
						||
                        "tensor_cores": 328
 | 
						||
                    },
 | 
						||
                    {
 | 
						||
                        "cuda_cores": 10496,
 | 
						||
                        "model": "RTX 3090 FE",
 | 
						||
                        "memory": 24000,
 | 
						||
                        "tensor_cores": 328
 | 
						||
                    },
 | 
						||
                    {
 | 
						||
                        "cuda_cores": 10496,
 | 
						||
                        "model": "RTX 3090 FE",
 | 
						||
                        "memory": 24000,
 | 
						||
                        "tensor_cores": 328
 | 
						||
                    },
 | 
						||
                    {
 | 
						||
                        "cuda_cores": 10496,
 | 
						||
                        "model": "RTX 3090 FE",
 | 
						||
                        "memory": 24000,
 | 
						||
                        "tensor_cores": 328
 | 
						||
                    },
 | 
						||
                    {
 | 
						||
                        "cuda_cores": 10496,
 | 
						||
                        "model": "RTX 3090 FE",
 | 
						||
                        "memory": 24000,
 | 
						||
                        "tensor_cores": 328
 | 
						||
                    },
 | 
						||
                    {
 | 
						||
                        "cuda_cores": 10496,
 | 
						||
                        "model": "RTX 3090 FE",
 | 
						||
                        "memory": 24000,
 | 
						||
                        "tensor_cores": 328
 | 
						||
                    }
 | 
						||
                ],
 | 
						||
                "disk_io": "30 MB/s",
 | 
						||
                "parallel": true,
 | 
						||
                "scaling_model": 2,
 | 
						||
                "source_url": "http://www.google.com"
 | 
						||
            },
 | 
						||
            {
 | 
						||
                "name": "imagemagic",
 | 
						||
                "image" : "dpokidov/imagemagick:7.1.0-62-2",
 | 
						||
                "short_description": "ImageMagick® is a free, open-source software suite, used for editing and manipulating digital images.",
 | 
						||
                "logo": "https://cloud.o-forge.io/core/deperecated-oc-catalog/raw/branch/main/scripts/local_imgs/imagemagic-logo.png",
 | 
						||
                "description": "Use ImageMagick to create, edit, compose, and convert digital images. Resize an image, crop it, change its shades and colors, add captions, and more.",
 | 
						||
                "owner": "IRT",
 | 
						||
                "price": 300,
 | 
						||
                "license": "GPLv2",
 | 
						||
                "cpus": [{
 | 
						||
                    "cores": 8,
 | 
						||
                    "architecture": "x86",
 | 
						||
                    "shared": false
 | 
						||
                }],
 | 
						||
                "ram": 1024,
 | 
						||
                "storage": 300,
 | 
						||
                "gpus": [
 | 
						||
                    {
 | 
						||
                        "cuda_cores": 10496,
 | 
						||
                        "model": "RTX 3090 FE",
 | 
						||
                        "memory": 24000,
 | 
						||
                        "tensor_cores": 328
 | 
						||
                    },
 | 
						||
                    {
 | 
						||
                        "cuda_cores": 10496,
 | 
						||
                        "model": "RTX 3090 FE",
 | 
						||
                        "memory": 24000,
 | 
						||
                        "tensor_cores": 328
 | 
						||
                    },
 | 
						||
                    {
 | 
						||
                        "cuda_cores": 10496,
 | 
						||
                        "model": "RTX 3090 FE",
 | 
						||
                        "memory": 24000,
 | 
						||
                        "tensor_cores": 328
 | 
						||
                    },
 | 
						||
                    {
 | 
						||
                        "cuda_cores": 10496,
 | 
						||
                        "model": "RTX 3090 FE",
 | 
						||
                        "memory": 24000,
 | 
						||
                        "tensor_cores": 328
 | 
						||
                    },
 | 
						||
                    {
 | 
						||
                        "cuda_cores": 10496,
 | 
						||
                        "model": "RTX 3090 FE",
 | 
						||
                        "memory": 24000,
 | 
						||
                        "tensor_cores": 328
 | 
						||
                    },
 | 
						||
                    {
 | 
						||
                        "cuda_cores": 10496,
 | 
						||
                        "model": "RTX 3090 FE",
 | 
						||
                        "memory": 24000,
 | 
						||
                        "tensor_cores": 328
 | 
						||
                    },
 | 
						||
                    {
 | 
						||
                        "cuda_cores": 10496,
 | 
						||
                        "model": "RTX 3090 FE",
 | 
						||
                        "memory": 24000,
 | 
						||
                        "tensor_cores": 328
 | 
						||
                    },
 | 
						||
                    {
 | 
						||
                        "cuda_cores": 10496,
 | 
						||
                        "model": "RTX 3090 FE",
 | 
						||
                        "memory": 24000,
 | 
						||
                        "tensor_cores": 328
 | 
						||
                    }
 | 
						||
                ],
 | 
						||
                "disk_io": "30 MB/s",
 | 
						||
                "parallel": true,
 | 
						||
                "scaling_model": 2,
 | 
						||
                "source_url": "http://www.google.com"
 | 
						||
            },
 | 
						||
            {
 | 
						||
                "name": "Mosquito server",
 | 
						||
                "short_description": "open source message broker that implements the MQTT protocol versions 5.0, 3.1.1 and 3.1.",
 | 
						||
                "logo": "https://cloud.o-forge.io/core/deperecated-oc-catalog/raw/branch/main/scripts/local_imgs/mosquitto-logo.png",
 | 
						||
                "description": "A very long description of what this storage is",
 | 
						||
                "owner": "IRT",
 | 
						||
                "price": 300,
 | 
						||
                "license": "GPLv2",
 | 
						||
                "cpus": [{
 | 
						||
                    "cores": 8,
 | 
						||
                    "architecture": "x86",
 | 
						||
                    "shared": false
 | 
						||
                }],
 | 
						||
                "ram": 1024,
 | 
						||
                "storage": 300,
 | 
						||
                "gpus": [
 | 
						||
                    {
 | 
						||
                        "cuda_cores": 10496,
 | 
						||
                        "model": "RTX 3090 FE",
 | 
						||
                        "memory": 24000,
 | 
						||
                        "tensor_cores": 328
 | 
						||
                    },
 | 
						||
                    {
 | 
						||
                        "cuda_cores": 10496,
 | 
						||
                        "model": "RTX 3090 FE",
 | 
						||
                        "memory": 24000,
 | 
						||
                        "tensor_cores": 328
 | 
						||
                    },
 | 
						||
                    {
 | 
						||
                        "cuda_cores": 10496,
 | 
						||
                        "model": "RTX 3090 FE",
 | 
						||
                        "memory": 24000,
 | 
						||
                        "tensor_cores": 328
 | 
						||
                    },
 | 
						||
                    {
 | 
						||
                        "cuda_cores": 10496,
 | 
						||
                        "model": "RTX 3090 FE",
 | 
						||
                        "memory": 24000,
 | 
						||
                        "tensor_cores": 328
 | 
						||
                    },
 | 
						||
                    {
 | 
						||
                        "cuda_cores": 10496,
 | 
						||
                        "model": "RTX 3090 FE",
 | 
						||
                        "memory": 24000,
 | 
						||
                        "tensor_cores": 328
 | 
						||
                    },
 | 
						||
                    {
 | 
						||
                        "cuda_cores": 10496,
 | 
						||
                        "model": "RTX 3090 FE",
 | 
						||
                        "memory": 24000,
 | 
						||
                        "tensor_cores": 328
 | 
						||
                    },
 | 
						||
                    {
 | 
						||
                        "cuda_cores": 10496,
 | 
						||
                        "model": "RTX 3090 FE",
 | 
						||
                        "memory": 24000,
 | 
						||
                        "tensor_cores": 328
 | 
						||
                    },
 | 
						||
                    {
 | 
						||
                        "cuda_cores": 10496,
 | 
						||
                        "model": "RTX 3090 FE",
 | 
						||
                        "memory": 24000,
 | 
						||
                        "tensor_cores": 328
 | 
						||
                    }
 | 
						||
                ],
 | 
						||
                "disk_io": "30 MB/s",
 | 
						||
                "parallel": true,
 | 
						||
                "scaling_model": 2,
 | 
						||
                "source_url": "http://www.google.com"
 | 
						||
            }
 | 
						||
        ]
 | 
						||
    },
 | 
						||
    {
 | 
						||
        "api": "/oc/storage/",
 | 
						||
        "content": [
 | 
						||
            {
 | 
						||
                "name": "IRT risk database",
 | 
						||
                "short_description": "IRT Database instance",
 | 
						||
                "logo": "https://cloud.o-forge.io/core/deperecated-oc-catalog/raw/branch/main/scripts/local_imgs/IRT risk database.png",
 | 
						||
                "owner": "IRT",
 | 
						||
                "description": "A very long description of what this storage is",
 | 
						||
                "type": "database",
 | 
						||
                "acronym": "DC_myDC",
 | 
						||
                "size": 4000,
 | 
						||
                "price": 90,
 | 
						||
                "encryption": false,
 | 
						||
                "redundancy": "RAID5",
 | 
						||
                "throughput": "r:200,w:150",
 | 
						||
                "source_url": "http://www.google.com"
 | 
						||
            },
 | 
						||
            {
 | 
						||
                "name": "IRT local file storage",
 | 
						||
                "short_description": "S3 compliant IRT file storage",
 | 
						||
                "logo": "https://cloud.o-forge.io/core/deperecated-oc-catalog/raw/branch/main/scripts/local_imgs/IRT local file storage.png",
 | 
						||
                "description": "A very long description of what this storage is",
 | 
						||
                "owner": "IRT",
 | 
						||
                "acronym": "DC_myDC",
 | 
						||
                "size": 40000,
 | 
						||
                "encryption": false,
 | 
						||
                "redundancy": "RAID5S",
 | 
						||
                "throughput": "r:300,w:350",
 | 
						||
                "price": 90,
 | 
						||
                "source_url": "http://www.google.com"
 | 
						||
            }
 | 
						||
        ]
 | 
						||
    },
 | 
						||
    {
 | 
						||
        "api": "/oc/compute/",
 | 
						||
        "content": [
 | 
						||
            {
 | 
						||
                "name": "Mundi compute",
 | 
						||
                "acronym": "DC_myDC",
 | 
						||
                "hosts": [
 | 
						||
                    "localhost:49618",
 | 
						||
                    "oc-catalog:49618"
 | 
						||
                ],
 | 
						||
                "short_description": "Mundi Opencloud Instance",
 | 
						||
                "logo": "https://cloud.o-forge.io/core/deperecated-oc-catalog/raw/branch/main/scripts/local_imgs/Mundi compute.png",
 | 
						||
                "description": "A very long description of what this data is",
 | 
						||
                "type": "compute",
 | 
						||
                "bookingPrice": 650,
 | 
						||
                "owner": "IRT",
 | 
						||
                "cpus": [{
 | 
						||
                    "cores": 8,
 | 
						||
                    "architecture": "x86",
 | 
						||
                    "shared": false
 | 
						||
                }],
 | 
						||
                "ram": {
 | 
						||
                    "size": 16384,
 | 
						||
                    "ecc": false
 | 
						||
                },
 | 
						||
                "gpus": [
 | 
						||
                    {
 | 
						||
                        "cuda_cores": 10496,
 | 
						||
                        "model": "RTX 3090 FE",
 | 
						||
                        "memory": 24000,
 | 
						||
                        "tensor_cores": 328
 | 
						||
                    }
 | 
						||
                ],
 | 
						||
                "source_url": "http://www.google.com"
 | 
						||
            },
 | 
						||
            {
 | 
						||
                "name": "CNES compute",
 | 
						||
                "acronym": "DC_superDC1",
 | 
						||
                "hosts": [
 | 
						||
                    "localhost:49619",
 | 
						||
                    "dc1:49618"
 | 
						||
                ],
 | 
						||
                "short_description": "CNES Opencloud Instance",
 | 
						||
                "logo": "https://cloud.o-forge.io/core/deperecated-oc-catalog/raw/branch/main/scripts/local_imgs/CNES compute.png",
 | 
						||
                "description": "A very long description of what this data is",
 | 
						||
                "type": "compute",
 | 
						||
                "bookingPrice": 650,
 | 
						||
                "owner": "IRT",
 | 
						||
                "cpus": [{
 | 
						||
                    "cores": 32,
 | 
						||
                    "architecture": "x86",
 | 
						||
                    "shared": false
 | 
						||
                }],
 | 
						||
                "ram": {
 | 
						||
                    "size": 100000,
 | 
						||
                    "ecc": false
 | 
						||
                },
 | 
						||
                "gpus": [],
 | 
						||
                "source_url": "http://www.google.com"
 | 
						||
            },
 | 
						||
            {
 | 
						||
                "name": "Meteo France compute",
 | 
						||
                "acronym": "DC_superDC2",
 | 
						||
                "hosts": [
 | 
						||
                    "localhost:49620",
 | 
						||
                    "dc2:49618"
 | 
						||
                ],
 | 
						||
                "short_description": "Meteo France Opencloud Instance",
 | 
						||
                "logo": "https://cloud.o-forge.io/core/deperecated-oc-catalog/raw/branch/main/scripts/local_imgs/Meteo France compute.png",
 | 
						||
                "description": "A very long description of what this data is",
 | 
						||
                "type": "compute",
 | 
						||
                "bookingPrice": 650,
 | 
						||
                "owner": "Meteo France",
 | 
						||
                "cpus": [{
 | 
						||
                    "cores": 16,
 | 
						||
                    "architecture": "x86",
 | 
						||
                    "shared": false
 | 
						||
                }],
 | 
						||
                "ram": {
 | 
						||
                    "size": 32786,
 | 
						||
                    "ecc": false
 | 
						||
                },
 | 
						||
                "gpus": [
 | 
						||
                    {
 | 
						||
                        "cuda_cores": 10496,
 | 
						||
                        "model": "RTX 3090 FE",
 | 
						||
                        "memory": 24000,
 | 
						||
                        "tensor_cores": 328
 | 
						||
                    },
 | 
						||
                    {
 | 
						||
                        "cuda_cores": 10496,
 | 
						||
                        "model": "RTX 3090 FE",
 | 
						||
                        "memory": 24000,
 | 
						||
                        "tensor_cores": 328
 | 
						||
                    },
 | 
						||
                    {
 | 
						||
                        "cuda_cores": 10496,
 | 
						||
                        "model": "RTX 3090 FE",
 | 
						||
                        "memory": 24000,
 | 
						||
                        "tensor_cores": 328
 | 
						||
                    },
 | 
						||
                    {
 | 
						||
                        "cuda_cores": 10496,
 | 
						||
                        "model": "RTX 3090 FE",
 | 
						||
                        "memory": 24000,
 | 
						||
                        "tensor_cores": 328
 | 
						||
                    },
 | 
						||
                    {
 | 
						||
                        "cuda_cores": 10496,
 | 
						||
                        "model": "RTX 3090 FE",
 | 
						||
                        "memory": 24000,
 | 
						||
                        "tensor_cores": 328
 | 
						||
                    },
 | 
						||
                    {
 | 
						||
                        "cuda_cores": 10496,
 | 
						||
                        "model": "RTX 3090 FE",
 | 
						||
                        "memory": 24000,
 | 
						||
                        "tensor_cores": 328
 | 
						||
                    },
 | 
						||
                    {
 | 
						||
                        "cuda_cores": 10496,
 | 
						||
                        "model": "RTX 3090 FE",
 | 
						||
                        "memory": 24000,
 | 
						||
                        "tensor_cores": 328
 | 
						||
                    },
 | 
						||
                    {
 | 
						||
                        "cuda_cores": 10496,
 | 
						||
                        "model": "RTX 3090 FE",
 | 
						||
                        "memory": 24000,
 | 
						||
                        "tensor_cores": 328
 | 
						||
                    }
 | 
						||
                ],
 | 
						||
                "source_url": "http://www.google.com"
 | 
						||
            }
 | 
						||
        ]
 | 
						||
    }
 | 
						||
] |