NVIDIA Corporation
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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 support 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 performant way.
NVIDIA/TensorRT-LLM’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 - cuda-quantum Public
C++ and Python support for the CUDA Quantum programming model for heterogeneous quantum-classical workflows
NVIDIA/cuda-quantum’s past year of commit activity - compute-eval Public
Evaluating Large Language Models for CUDA Code Generation ComputeEval is a framework designed to generate and evaluate CUDA code from Large Language Models.
NVIDIA/compute-eval’s past year of commit activity - NeMo-Guardrails Public
NeMo Guardrails is an open-source toolkit for easily adding programmable guardrails to LLM-based conversational systems.
NVIDIA/NeMo-Guardrails’s past year of commit activity - cuda-q-academic Public
This repo contains CUDA-Q Academic materials, including self-paced Jupyter notebook modules for building and optimizing hybrid quantum-classical algorithms using CUDA-Q.
NVIDIA/cuda-q-academic’s past year of commit activity
