…In hardware terms, the card includes 64 Compute Units, 4096 Stream Processors, 128 AI Accelerators, and 64 Ray Accelerators. Its memory and board configuration includes a 256-bit memory interface, 640 GB…
…According to Intel, his role will involve leading the company’s technology strategy, overseeing special technology initiatives, and driving development across emerging areas such as quantum computing, neuromorphic computing, photonics, and advanced…
…The control plane now supports robust multi-organization isolation via virtualization, logical network segmentation (VXLAN for Spectrum-X Ethernet, PKeys for Quantum InfiniBand), and dedicated compute and management resources per organization, reducing…
…quantum team took advantage of recent advances in agentic AI to rapidly improve its topological qubits, and as a result, they’ve overcome barriers that have limited the application of quantum computing…
…1 Comment Less than one month after releasing ROCm 7.2.2 , the ROCm 7.2.3 is now available with some minor improvements to this open-source AMD GPU compute and…
…LPX decode accelerators. KV caches generated by these agents are offloaded to STX storage, and everything is connected to one another by SPX racks packed with Spectrum or Quantum switches. And as…
…As CTO, Ranade will advance the company’s technology strategy, lead special technology projects, and drive the development of critical emerging areas, including quantum computing, neuromorphic computing, photonics, and novel materials. Ranade…
…Pushing the Boundaries of Quantum Simulation and Control In this blog, we highlight our ongoing synergy with Qibo, an end-to-end open-source framework for quantum computing, and In this blog…
Generative AI applications that use text, computer code, protein chains, summaries, video and even 3D graphics require data-center-scale accelerated computing to efficiently train the large language models (LLMs) that power…
The full-stack NVIDIA accelerated computing platform has once again demonstrated exceptional performance in the latest MLPerf Training v4.0 benchmarks. NVIDIA more than tripled the performance on the large language model…
