Join the event trusted by enterprise leaders for nearly two decades. VB Transform brings together the people building real enterprise AI strategy. Learn more Nvidia today announced the release of ...

A $5 million AI system can earn $75 million in tokens. Inference is now the engine of AI — and Blackwell leads the charge.

NVIDIA is already the kind of generative AI in terms of hardware. Its GPUs power data centers used by Microsoft, OpenAI, and others to run AI services like Bing Chat, ChatGPT, and more. Today, 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 ...

In a new collaboration, Stability AI and NVIDIA have joined forces to supercharge the performance of Stability AI’s text-to-image generative AI product, Stable Diffusion XL (SDXL). This partnership is ...

Following the introduction of Copilot, its latest smart assistant for Windows 11, Microsoft is yet again advancing the integration of generative AI with Windows. At the ongoing Ignite 2023 developer ...

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 ...

TL;DR: By 2025, over 8GB of VRAM will be essential for high-end 1440p and 4K gaming and local AI workloads. NVIDIA and Stability AI optimized Stable Diffusion 3.5 with FP8 quantization and TensorRT, ...

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 ...

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.