Using these new TensorRT-LLM optimizations, NVIDIA has pulled out a huge 2.4x performance leap with its current H100 AI GPU in MLPerf Inference 3.1 to 4.0 with GPT-J tests using an offline scenario.

At its GTC conference, Nvidia today announced Nvidia NIM, a new software platform designed to streamline the deployment of custom and pre-trained AI models into production environments. NIM takes the ...

Apple and NVIDIA shared details of a collaboration to improve the performance of LLMs with a new text generation technique for AI. Cupertino writes: Accelerating LLM inference is an important ML ...

Developers can now take advantage of NVIDIA NIM packages to deploy enterprise generative AI, said NVIDIA CEO Jensen Huang. NVIDIA’s newest GPU platform is the Blackwell (Figure A), which companies ...

A chain of critical vulnerabilities in NVIDIA's Triton Inference Server has been discovered by researchers, just two weeks after a Container Toolkit vulnerability was identified. The Triton Inference ...

Rated horsepower for a compute engine is an interesting intellectual exercise, but it is where the rubber hits the road that really matters. We finally have the first benchmarks from MLCommons, the ...