765 lines
30 KiB
JSON
765 lines
30 KiB
JSON
[
|
||
{
|
||
"api": "/oc/data/",
|
||
"content": [
|
||
{
|
||
"name": "Mundi Sentienl 3 SRAL Images",
|
||
"short_description": "Mundi Sentinels 3 SAR Altiemter image",
|
||
"logo": "https://cloud.o-forge.io/core/deperecated-oc-catalog/src/branch/main/scripts/local_imgs/Mundi Sentienl 3 SRAL Images.png",
|
||
"description": "A very long description of what this data is",
|
||
"owner": "Mundi Web",
|
||
"example": "string",
|
||
"datatype": "string",
|
||
"source_url": "string"
|
||
},
|
||
{
|
||
"name": "Mundi Sentienl 3 OLCI Images",
|
||
"short_description": "Mundi Sentinels 3 Ocean and land color Altiemter image",
|
||
"logo": "https://cloud.o-forge.io/core/deperecated-oc-catalog/src/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"
|
||
},
|
||
{
|
||
"name": "Meteo-France forecasts",
|
||
"short_description": "Meteo France weather forecasts",
|
||
"logo": "https://cloud.o-forge.io/core/deperecated-oc-catalog/src/branch/main/scripts/local_imgs/Meteo-France forecasts.png",
|
||
"description": "A very long description of what this data is",
|
||
"owner": "Meteo-France",
|
||
"example": "string",
|
||
"datatype": "string",
|
||
"source_url": "string"
|
||
},
|
||
{
|
||
"name": "Meteo-France wind archive",
|
||
"short_description": "Meteo France wind archive",
|
||
"logo": "https://cloud.o-forge.io/core/deperecated-oc-catalog/src/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",
|
||
"source_url": "string"
|
||
}
|
||
]
|
||
},
|
||
{
|
||
"api": "/oc/processing/",
|
||
"content": [
|
||
{
|
||
"name": "SAR High points",
|
||
"short_description": "SAR Altimeter High points extraction Software",
|
||
"logo": "https://cloud.o-forge.io/core/deperecated-oc-catalog/src/branch/main/scripts/local_imgs/SAR High points.png",
|
||
"description": "A very long description of what this data 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"
|
||
},
|
||
{
|
||
"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/src/branch/main/scripts/local_imgs/Flammable vegetation slicer.png",
|
||
"description": "A very long description of what this data is",
|
||
"cpus": [{
|
||
"cores": 8,
|
||
"architecture": "x86",
|
||
"shared": false
|
||
}],
|
||
"ram": 4096,
|
||
"storage": 30000,
|
||
"disk_io": "30 MB/s",
|
||
"parallel": true,
|
||
"scaling_model": 2,
|
||
"owner": "Gob.fr",
|
||
"price": 330,
|
||
"license": "Copyright",
|
||
"source_url": "http://www.google.com"
|
||
},
|
||
{
|
||
"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/src/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",
|
||
"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/src/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/src/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/src/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/src/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/src/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/src/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/src/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/src/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/src/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/datacenter/",
|
||
"content": [
|
||
{
|
||
"name": "Mundi datacenter",
|
||
"acronym": "DC_myDC",
|
||
"hosts": [
|
||
"localhost:49618",
|
||
"oc-catalog:49618"
|
||
],
|
||
"short_description": "Mundi Opencloud Instance",
|
||
"logo": "https://cloud.o-forge.io/core/deperecated-oc-catalog/src/branch/main/scripts/local_imgs/Mundi datacenter.png",
|
||
"description": "A very long description of what this data is",
|
||
"type": "datacenter",
|
||
"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 datacenter",
|
||
"acronym": "DC_superDC1",
|
||
"hosts": [
|
||
"localhost:49619",
|
||
"dc1:49618"
|
||
],
|
||
"short_description": "CNES Opencloud Instance",
|
||
"logo": "https://cloud.o-forge.io/core/deperecated-oc-catalog/src/branch/main/scripts/local_imgs/CNES datacenter.png",
|
||
"description": "A very long description of what this data is",
|
||
"type": "datacenter",
|
||
"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 datacenter",
|
||
"acronym": "DC_superDC2",
|
||
"hosts": [
|
||
"localhost:49620",
|
||
"dc2:49618"
|
||
],
|
||
"short_description": "Meteo France Opencloud Instance",
|
||
"logo": "https://cloud.o-forge.io/core/deperecated-oc-catalog/src/branch/main/scripts/local_imgs/Meteo France datacenter.png",
|
||
"description": "A very long description of what this data is",
|
||
"type": "datacenter",
|
||
"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"
|
||
}
|
||
]
|
||
}
|
||
] |