At CES 2026, Nvidia revealed it is planning a software update for DGX Spark which will significantly extend the device's ...
The Register on MSN
Nvidia says it's more than doubled the DGX Spark’s performance since launch
Just maybe not in the way you're thinking Nvidia's DGX Spark and its GB10-based siblings are getting a major performance bump ...
A few months after releasing the GB10-based DGX Spark workstation, NVIDIA uses CES 2026 to showcase super-charged performance ...
In GTC China yesterday, NVIDIA made a series of announcements. Some had to do with local partners and related achievements, such as powering the likes of Alibaba and Baidu. Partners of this magnitude ...
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 ...
NVIDIA will be releasing an update to TensorRT-LLM for AI inferencing, which will allow desktops and laptops running RTX GPUs with at least 8GB of VRAM to run the open-source software. This update ...
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 ...
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 ...
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.
Some results have been hidden because they may be inaccessible to you
Show inaccessible results