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.

TensorRT-LLM adds a slew of new performance-enhancing features to all NVIDIA GPUs. Just ahead of the next round of MLPerf benchmarks, NVIDIA has announced a new TensorRT software for Large Language ...

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 ...

NVIDIA Boosts LLM Inference Performance With New TensorRT-LLM Software Library Your email has been sent As companies like d-Matrix squeeze into the lucrative artificial intelligence market with ...

The company is adding its TensorRT-LLM to Windows in order to play a bigger role in the inference side of AI. The company is adding its TensorRT-LLM to Windows in order to play a bigger role in the ...

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 ...

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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 ...

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 ...