By migrating over 10 petabytes of daily processed data to GPU infrastructure on Google Cloud, Snap optimized performance and achieved significant operating cost savings.
NVIDIA's GPU technology is helping researchers decode the origins and trade journeys of ceramic artifacts dating back thousands of years.
The llama.cpp b9235 release introduces Speculative N-gram Tuning, significantly optimizing decode speeds when running large models like Qwen3.6 27B.
NVIDIA recently posted a brief, exciting message on X, inviting the community to look forward to key moments in its upcoming keynote.
NVIDIA's new Vera Rubin platform, combining NVL72 and Groq 3 LPX, enables running agentic workloads on massive MoE models without sacrificing latency.
Hugging Face's CEO believes that open-source AI running on local/on-premise infrastructure will be the solution to GPU shortages and expensive API costs.
Optimizing the inference process for large Transformer models is key to reducing memory costs and operational latency in practice.
A new command-line utility allows developers to easily share GPU profile trace files via Hugging Face, streamlining model performance analysis.
TokenSpeed is a new LLM inference engine that matches TensorRT-LLM in performance while remaining as easy to use as vLLM, released under the MIT license.
Nvidia posted a cryptic query on X, sparking curiosity within the tech community regarding upcoming announcements.
Hugging Face emphasizes that the real value of running local AI lies in the hands-on technical skills users accumulate, which far outweigh the cost of the hardware investment.
NVIDIA's Graduate Fellowship Program enters its 25th year, providing financial and technical support to outstanding PhD students in the field of accelerated computing.
Deep learning technology powered by NVIDIA GPUs has helped researchers decode years of Cassini spacecraft data in mere seconds to map methane clouds on Titan.
New research in Poland utilizes deep learning and NVIDIA GPUs to optimize humidity forecasting, helping to improve the accuracy of storm and flood warnings.
Hugging Face has released data from 300,000 users on hardware configurations for running AI, highlighting the explosive trend of local AI.
NVIDIA CEO Jensen Huang has just landed in Taipei to prepare for the GTC event at COMPUTEX 2026. This is a crucial moment for new announcements regarding AI infrastructure and GPUs.
NVIDIA has confirmed its participation in an upcoming event in Los Angeles via a brief announcement on X, hinting at major strategic reveals from the chip giant.
An NVIDIA representative has emphasized the critical importance of hardware performance for AI startups, noting that next-generation coding agents can only exist thanks to the power of today's most advanced chips.
NVIDIA has confirmed that CEO Jensen Huang will deliver a keynote address in Taipei during COMPUTEX 2026, promising to unveil the latest advancements in AI and accelerated computing.
Hugging Face has launched its 'Hardware' page, providing real-world insights into the GPUs, CPUs, and VRAM allocations actually powering the open-source AI ecosystem.
New research from Hugging Face reveals that the NVIDIA RTX 3060 remains the most popular GPU model in the open-source community, providing crucial insights for software developers.
OpenAI has introduced Guaranteed Capacity, a new service allowing enterprises to reserve compute resources in advance to ensure stable, long-term AI scalability.
