The optimisation of GPU kernels through performance tuning and auto-tuning approaches has become essential in maximising computational efficiency on modern heterogeneous architectures. Researchers ...

[OPINION/INSIGHT ARTICLE] The surging demand for supercomputing power, driven by the insatiable appetite of AI/ML, big data analytics, and scientific research, has driven the HPC industry to push the ...

Efficiency and innovation are often touted as hallmark attributes of generative AI. But as more enterprise businesses look to integrate the technology into their workflows, confidentiality — in data ...

NodeAI is transforming the future of GPU computing with a decentralized infrastructure that’s fair, transparent, and community-driven. By leveraging the $GPU token ...

NVIDIA (NVDA) NVQLink high-speed interconnect lets quantum processors connect to world-leading supercomputing labs including Brookhaven National Laboratory, Fermi Laboratory, Lawrence Berkeley ...

Hard forks and easier access to GPU computing hold the potential to alleviate developers’ work, which can offset the increased complexity of writing code and the ever-growing demand for compute power.

AI domination is seemingly not enough for Nvidia. Now the world's most valuable company is turning its attention to quantum computing. Give it up for the future of "accelerated quantum computing ...

SAN MATEO, Calif.--(BUSINESS WIRE)--Hammerspace, the company orchestrating the next data cycle, today introduced the latest version of Hammerspace Global Data Platform software, unlocking a new tier ...

Aethir’s decentralized Graphics Processing Units (GPUs) network began as a solution for cloud gaming, but co-founder Mark Rydon says the company is now focused on artificial intelligence — an industry ...

Sensors and vehicle platforms remain capable for decades. The factor limiting their lethality is the computing hardware sitting between the sensors and the shooter. By treating that hardware as ...