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 ...
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 ...
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 Dynamo 1.0 provides a production-grade, open source foundation for inference at scale.Dynamo and NVIDIA TensorRT-LLM ...
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 ...
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