GPU – Notes de Francis

WarpDrive: Extremely Fast End-to-End Deep Multi-Agent Reinforcement Learning on a GPU

https://github.com/salesforce/warp-drive GitHub – salesforce/warp-drive WarpDrive is a flexible, lightweight, and easy-to-use open-source ..

1 an ago

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Inferrd – Deploy your AI models on a GPU 10x faster than any cloud for up to 90% cheaper.

https://inferrd.com/ Inferrd | Deploy AI on GPUs Deploy API on GPUs, in less than a minute, without cold starts, starting at $10 for a 1GB model. ..

1 an ago

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Small text: Active learning for text classification in Python

https://github.com/webis-de/small-text GitHub – webis-de/small-text: Active learning for text classification in Python Requires Python ..

1 an ago

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Introducing Triton: Open-Source GPU Programming for Neural Networks

https://openai.com/blog/triton/

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Google Replaces BERT Self-Attention with Fourier Transform: 92% Accuracy, 7 Times Faster on GPUs | Synced

https://syncedreview.com/2021/05/14/deepmind-podracer-tpu-based-rl-frameworks-deliver-exceptional-performance-at-low-cost-19/amp/

2 ans ago

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NVIDIA, Stanford & Microsoft Propose Efficient Trillion-Parameter Language Model Training on GPU Clusters | by Synced | SyncedReview | Apr, 2021 | Medium

https://medium.com/syncedreview/nvidia-stanford-microsoft-propose-efficient-trillion-parameter-language-model-training-on-gpu-7e415235313c

2 ans ago

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Open GPU Data Science | RAPIDS

https://rapids.ai/

2 ans ago

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turbo_transformers: a fast and user-friendly runtime for transformer inference on CPU and GPU

Transformer is the most critical alogrithm innovation in the NLP field in recent years. It brings higher model accuracy while introduces ..

3 ans ago

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Differentiable SDE solvers with GPU support and efficient sensitivity analysis.

https://github.com/google-research/torchsde GitHub – google-research/torchsde: Differentiable SDE solvers with GPU support and efficient ..

3 ans ago

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Microsoft’s OpenAI supercomputer has 285,000 CPU cores, 10,000 GPUs | Engadget

https://www-engadget-com.cdn.ampproject.org/c/s/www.engadget.com/amp/microsoft-openai-supercomputer-azure-150001119.html

3 ans ago

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Monk_Object_Detection/Example – Indoor Image Object Detection and Tagging.ipynb at master · Tessellate-Imaging/Monk_Object_Detection · GitHub

Experimented with multi-gpu training of indoor object detector using RetinaNet and Open-Images – V5 dataset The detector consists ..

3 ans ago

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https://www.zdnet.com/google-amp/article/facebooks-latest-giant-language-ai-hits-computing-wall-at-500-nvidia-gpus/

3 ans ago

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All posts tagged in: GPU

WarpDrive: Extremely Fast End-to-End Deep Multi-Agent Reinforcement Learning on a GPU

Inferrd – Deploy your AI models on a GPU 10x faster than any cloud for up to 90% cheaper.

Small text: Active learning for text classification in Python

Introducing Triton: Open-Source GPU Programming for Neural Networks

Google Replaces BERT Self-Attention with Fourier Transform: 92% Accuracy, 7 Times Faster on GPUs | Synced

NVIDIA, Stanford & Microsoft Propose Efficient Trillion-Parameter Language Model Training on GPU Clusters | by Synced | SyncedReview | Apr, 2021 | Medium

Open GPU Data Science | RAPIDS

turbo_transformers: a fast and user-friendly runtime for transformer inference on CPU and GPU

Differentiable SDE solvers with GPU support and efficient sensitivity analysis.

Microsoft’s OpenAI supercomputer has 285,000 CPU cores, 10,000 GPUs | Engadget

Monk_Object_Detection/Example – Indoor Image Object Detection and Tagging.ipynb at master · Tessellate-Imaging/Monk_Object_Detection · GitHub

https://www.zdnet.com/google-amp/article/facebooks-latest-giant-language-ai-hits-computing-wall-at-500-nvidia-gpus/