NVIDIA Corporation
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- 2788 San Tomas Expressway, Santa Clara, CA, 95051
- https://nvidia.com
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- TensorRT-LLM Public
TensorRT LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and supports state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorRT LLM also contains components to create Python and C++ runtimes that orchestrate the inference execution in a performant way.
NVIDIA/TensorRT-LLM’s past year of commit activity - k8s-driver-manager Public
The NVIDIA Driver Manager is a Kubernetes component which assist in seamless upgrades of NVIDIA Driver on each node of the cluster.
NVIDIA/k8s-driver-manager’s past year of commit activity - recsys-examples Public
Examples for Recommenders - easy to train and deploy on accelerated infrastructure.
NVIDIA/recsys-examples’s past year of commit activity - NVSentinel Public
NVSentinel is a cross-platform fault remediation service designed to rapidly remediate runtime node-level issues in GPU-accelerated computing environments
NVIDIA/NVSentinel’s past year of commit activity - KAI-Scheduler Public
KAI Scheduler is an open source Kubernetes Native scheduler for AI workloads at large scale
NVIDIA/KAI-Scheduler’s past year of commit activity - TensorRT-Model-Optimizer Public
A unified library of state-of-the-art model optimization techniques like quantization, pruning, distillation, speculative decoding, etc. It compresses deep learning models for downstream deployment frameworks like TensorRT-LLM or TensorRT to optimize inference speed.
NVIDIA/TensorRT-Model-Optimizer’s past year of commit activity