As Nvidia marks two decades of CUDA, its head of high-performance computing and hyperscale reflects on the platform’s journey ...
Nvidia GTC 2026 revealed agentic AI, desk supercomputers, and space-based computing, signaling a major shift in how AI is ...
Despite growing rivalry, Nvidia’s flagship AI systems will use Intel CPUs to meet enterprise deployment requirements and ...
Abstract: Parallel simulation based on CPU-GPU heterogeneous hardware, owing to its high speed-up ratio, has emerged as an effective approach for accelerating electromagnetic transient (EMT) ...
Shkreli’s Substack essay, titled “Photonic Computing: The Final AI Hardware Frontier,” lays out a simple thesis: GPUs from Nvidia Corp. (NASDAQ: NVDA) spend roughly 99% of their time doing one thing, ...
Abstract: This paper addresses the development of a multi-level parallel algorithm for detecting single scatterers in SAR tomography, targeted at multi-node multi-GPU distributed computational ...
NVIDIA's CCCL 3.1 introduces three determinism levels for parallel reductions, letting developers trade performance for reproducibility in GPU computations. NVIDIA has rolled out determinism controls ...
SAN FRANCISCO, March 3, 2026 /PRNewswire/ -- Akash Systems, Inc., the pioneer in Diamond Cooling technology, today announced the launch and availability of the first Diamond Cooled AI servers powered ...
Prepare Models and Datasets In this paper, we evaluate our proposed MAD-M$^2$ equipped with four mainstream open-source benchmarks: Qwen2.5-7B-Instruct, Qwen2.5-Math-7B-Instruct, ...
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