GPU-based sorting algorithms have emerged as a crucial area of research due to their ability to harness the immense parallel processing power inherent in modern graphics processing units. By ...

Nvidia isn’t building quantum computers, instead it’s using its supercomputing strengths to accelerate quantum computing ...

Sachdeva’s breakthrough challenges one of the most studied problems in computer science, known as maximum flow, which supports how information, traffic, and resources move through networks ...

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 ...

[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 ...

Investors have been quick to draw a line from Nvidia’s dominance in artificial intelligence chips to the handful of pure-play ...

Corvex, Inc., an AI cloud computing company specializing in GPU-accelerated infrastructure for AI workloads, today announced a long-term GPU lease agreement with an established AI-driven provider of ...

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.

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 ...