Baseten is an AI infrastructure platform. We combine applied performance research, distributed multi-cloud infrastructure, and developer tooling to run models of all modalities in production.
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A Datacenter Scale Distributed Inference Serving Framework
TensorRT-LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and build TensorRT engines that contain state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorRT-LLM also contains components to create Python and C++ runtimes that execute those TensorRT engines.
Reports junit test results as GitHub Pull Request Check
✨ A Github Action which sets the base and head SHAs required for `nx affected` commands in CI
Github action to retrieve all (added, copied, modified, deleted, renamed, type changed, unmerged, unknown) files and directories.
A GitHub action to create a pull request for changes to your repository in the actions workspace
A unified library of state-of-the-art model optimization techniques such as quantization, pruning, distillation, speculative decoding, etc. It compresses deep learning models for downstream deployment frameworks like TensorRT-LLM or TensorRT to optimize inference speed on NVIDIA GPUs.
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