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 ...
AMD launched its new flagship AI GPU and accelerator, the Instinct MI300X, earlier this month. During the launch event, AMD provided charts and data indicating that the MI300X outperformed NVIDIA's ...
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 ...
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 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 ...
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 ...
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