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config.yaml
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config.yaml
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availability:
Available on-premise: Available on-premise
available on-premise: Available on-premise
onprem: Available on-premise
available: Available on-premise
Available onprem: Available on-premise
available onprem: Available on-premise
Available cloud: Available cloud
available cloud: Available cloud
cloud: Available cloud
Research, Development, or Internal (RDI): Research, Development, or Internal (RDI)
research, development, or internal (rdi): Research, Development, or Internal (RDI)
rdi: Research, Development, or Internal (RDI)
research: Research, Development, or Internal (RDI)
development: Research, Development, or Internal (RDI)
internal: Research, Development, or Internal (RDI)
preview: Preview
columns:
training:
"2.0.0":
bert: ["Benchmark results (minutes)", "NLP", "Wikipedia", "BERT"]
dlrm: ["Benchmark results (minutes)", "Recommendation", "1TB Clickthrough", "DLRM"]
maskrcnn: ["Benchmark results (minutes)", "Object detection, heavy-weight", "COCO", "Mask R-CNN"]
minigo: ["Benchmark results (minutes)", "Reinforcement Learning", "Go", "Minigo"]
resnet: ["Benchmark results (minutes)", "Image classification", "ImageNet", "ResNet"]
ssd: ["Benchmark results (minutes)", "Object detection, light-weight", "OpenImages", "RetinaNet"]
rnnt: ["Benchmark results (minutes)", "Speech recognition", "LibriSpeech", "RNN-T"]
unet3d: ["Benchmark results (minutes)", "Image segmentation (medical)", "KiTS19", "3D U-Net"]
default: [" ", " ", " "]
"2.1.0":
bert: ["Benchmark results (minutes)", "NLP", "Wikipedia", "BERT"]
dlrm: ["Benchmark results (minutes)", "Recommendation", "1TB Clickthrough", "DLRM"]
maskrcnn: ["Benchmark results (minutes)", "Object detection, heavy-weight", "COCO", "Mask R-CNN"]
minigo: ["Benchmark results (minutes)", "Reinforcement Learning", "Go", "Minigo"]
resnet: ["Benchmark results (minutes)", "Image classification", "ImageNet", "ResNet"]
ssd: ["Benchmark results (minutes)", "Object detection, light-weight", "OpenImages", "RetinaNet"]
rnnt: ["Benchmark results (minutes)", "Speech recognition", "LibriSpeech", "RNN-T"]
unet3d: ["Benchmark results (minutes)", "Image segmentation (medical)", "KiTS19", "3D U-Net"]
default: [" ", " ", " "]
"3.0.0":
bert: ["Benchmark results (minutes)", "NLP", "Wikipedia", "BERT"]
gpt3: ["Benchmark results (minutes)", "LLM", "C4", "GPT3"]
dlrm_dcnv2: ["Benchmark results (minutes)", "Recommendation", "1TB Multihot Clickthrough", "DLRM DCNv2"]
maskrcnn: ["Benchmark results (minutes)", "Object detection, heavy-weight", "COCO", "Mask R-CNN"]
minigo: ["Benchmark results (minutes)", "Reinforcement Learning", "Go", "Minigo"]
resnet: ["Benchmark results (minutes)", "Image classification", "ImageNet", "ResNet"]
ssd: ["Benchmark results (minutes)", "Object detection, light-weight", "OpenImages", "RetinaNet"]
rnnt: ["Benchmark results (minutes)", "Speech recognition", "LibriSpeech", "RNN-T"]
unet3d: ["Benchmark results (minutes)", "Image segmentation (medical)", "KiTS19", "3D U-Net"]
default: [" ", " ", " "]
"3.1.0":
bert: ["Benchmark results (minutes)", "NLP", "Wikipedia", "BERT"]
gpt3: ["Benchmark results (minutes)", "LLM", "C4", "GPT3"]
dlrm_dcnv2: ["Benchmark results (minutes)", "Recommendation", "1TB Multihot Clickthrough", "DLRM DCNv2"]
maskrcnn: ["Benchmark results (minutes)", "Object detection, heavy-weight", "COCO", "Mask R-CNN"]
minigo: ["Benchmark results (minutes)", "Reinforcement Learning", "Go", "Minigo"]
resnet: ["Benchmark results (minutes)", "Image classification", "ImageNet", "ResNet"]
ssd: ["Benchmark results (minutes)", "Object detection, light-weight", "OpenImages", "RetinaNet"]
rnnt: ["Benchmark results (minutes)", "Speech recognition", "LibriSpeech", "RNN-T"]
unet3d: ["Benchmark results (minutes)", "Image segmentation (medical)", "KiTS19", "3D U-Net"]
stable_diffusion: ["Benchmark results (minutes)", "Text to image", "Laion 400m and Coco-2017", "StableDiffusion"]
default: [" ", " ", " "]
"4.0.0":
bert: ["Benchmark results (minutes)", "NLP", "Wikipedia", "BERT"]
gpt3: ["Benchmark results (minutes)", "LLM", "C4", "GPT3"]
dlrm_dcnv2: ["Benchmark results (minutes)", "Recommendation", "1TB Multihot Clickthrough", "DLRM DCNv2"]
maskrcnn: ["Benchmark results (minutes)", "Object detection, heavy-weight", "COCO", "Mask R-CNN"]
minigo: ["Benchmark results (minutes)", "Reinforcement Learning", "Go", "Minigo"]
resnet: ["Benchmark results (minutes)", "Image classification", "ImageNet", "ResNet"]
ssd: ["Benchmark results (minutes)", "Object detection, light-weight", "OpenImages", "RetinaNet"]
rnnt: ["Benchmark results (minutes)", "Speech recognition", "LibriSpeech", "RNN-T"]
unet3d: ["Benchmark results (minutes)", "Image segmentation (medical)", "KiTS19", "3D U-Net"]
stable_diffusion: ["Benchmark results (minutes)", "Text to image", "Laion 400m and Coco-2017", "StableDiffusion"]
llama2_70b_lora: ["Benchmark results (minutes)", "LLM-Finetune", "SCROLSS Gov Report", "LLama2-70B-LoRA"]
gnn: ["Benchmark results (minutes)", "Graph node classification", "IGBH-Full", "R-GAT"]
default: [" ", " ", " "]
"4.1.0":
bert: ["Benchmark results (minutes)", "NLP", "Wikipedia", "BERT"]
gpt3: ["Benchmark results (minutes)", "LLM", "C4", "GPT3"]
dlrm_dcnv2: ["Benchmark results (minutes)", "Recommendation", "1TB Multihot Clickthrough", "DLRM DCNv2"]
ssd: ["Benchmark results (minutes)", "Object detection, light-weight", "OpenImages", "RetinaNet"]
stable_diffusion: ["Benchmark results (minutes)", "Text to image", "Laion 400m and Coco-2017", "StableDiffusion"]
llama2_70b_lora: ["Benchmark results (minutes)", "LLM-Finetune", "SCROLSS Gov Report", "LLama2-70B-LoRA"]
gnn: ["Benchmark results (minutes)", "Graph node classification", "IGBH-Full", "R-GAT"]
default: [" ", " ", " "]
hpc:
"2.0.0":
bert: ["Benchmark results (minutes)", "CosmoFlow"]
dlrm: ["Benchmark results (minutes)", "DeepCAM"]
maskrcnn: ["Benchmark results (minutes)", "OpenCatalyst"]
default: [" "]