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 ...

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 ...

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 ...

The landscape of generative AI has seen significant advancements, with NVIDIA playing a pivotal role in driving this innovation. The introduction of GeForce RTX and NVIDIA RTX GPUs will bring ...

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 ...

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 ...

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.

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 ...

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 Corp. today announced a new open-source software suite called TensorRT-LLM that expands the capabilities of large language model optimizations on Nvidia graphics processing units and pushes the ...