Nvidia released three NIM micoservices today to its existing open source collection of AI tools and microservices.

Capable of running 200B-parameter models, Nvidia Project Digits packs the new Nvidia GB10 Grace Blackwell chip to allow ...

Ahead of the pending launch of its new RTX 50-series graphics cards. Nvidia released a flood of new details about its GPU ...

In the rapidly evolving realm of artificial intelligence, the role of hardware—specifically AI chips—has become indispensable. Among the key players ...

The team at xAI, partnering with Supermicro and NVIDIA, is building the largest liquid-cooled GPU cluster deployment in the world.

Microsoft is excited to partner with NVIDIA to catalyze this next generation of graphics programming by bringing ...

Discover how Nvidia Corporation's revenue soared in 2024, driven by hyperscaler investments in AI data centers, solidifying ...

In the years since, Nvidia has added developer tools and AI-specific microlibraries through CUDA X, extending its software lead. Today, AMD has its own GPU software platform, and it makes GPUs ...

Qualcomm's Snapdragon X series ... its position in HPC and support AI clusters effectively. According to CRN, an HPC system integrator observed that AMD's CPUs, complementing Nvidia's GPU systems ...

Graviton, a Russia-based server supplier, has announced its first AI and HPC server ... point to Nvidia's H100 PCIe GPU. Those who use the S2124B will have to rely on Nvidia's CUDA ecosystem.

When it came to artificial intelligence (AI) infrastructure in ... better buy heading into 2025. Nvidia, meanwhile, became the market leader in GPUs due to its CUDA software platform.

collectively known as CUDA X, which are optimized for AI applications. These strengths are reflected in Nvidia’s financial performance, with 87% of its total revenue derived from data centers. Despite ...