tzulingk/grove
Kubernetes enhancements for Network Topology Aware Gang Scheduling & Autoscaling
Repositories
tzulingk/srt-slurm
NVIDIA Inference Benchmarks provide recipes in ready-to-use templates for evaluating platform speed. Validate your platform across specific AI use cases across hardware and software combinations.
tzulingk/sglang
SGLang is a high-performance serving framework for large language models and multimodal models.
tzulingk/dynamo_wideep_ft_test
A Datacenter Scale Distributed Inference Serving Framework
tzulingk/TensorRT-LLM
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.
tzulingk/vllm
A high-throughput and memory-efficient inference and serving engine for LLMs