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.
Nvidia has set new MLPerf performance benchmarking records on its H200 Tensor Core GPU and TensorRT-LLM software. MLPerf Inference is a benchmarking suite that measures inference performance across ...
In a blog post today, Apple engineers have shared new details on a collaboration with NVIDIA to implement faster text generation performance with large language models. Apple published and open ...
A hot potato: Nvidia has thus far dominated the AI accelerator business within the server and data center market. Now, the company is enhancing its software offerings to deliver an improved AI ...
TensorRT-LLM is adding OpenAI's Chat API support for desktops and laptops with RTX GPUs starting at 8GB of VRAM. Users can process LLM queries faster and locally without uploading datasets to the ...
The AI chip giant says the open-source software library, TensorRT-LLM, will double the H100’s performance for running inference on leading large language models when it comes out next month. Nvidia ...
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