Parallel computing speeds up data crunching. Projects that took hours now take seconds. It's the fundamental concept that, along with advanced semiconductors, has ushered in the AI boom. Increased ...

Hard forks and easier access to GPU computing hold the potential to alleviate developers’ work, which can offset the ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Dany Lepage discusses the architectural ...

KAYTUS’s next-generation all-QLC flash solution delivers fully linear performance scaling for massive GPU clusters, while ...

Enterprise AI workloads require infrastructure designed for large-scale data processing and distributed computing. Organizations are modernizing AI data center infrastructure with GPU computing, ...

Shift in ratios: Lisa Su says the current 4–5 GPUs per CPU ratio in AI systems could approach 1-to-1 as CPUs take on more agentic AI and inference tasks. Market growth outlook: AMD raised its 2030 ...

Elise London is the CTO of Lakeside Software, where she oversees the design and delivery of its digital employee experience platform. I still remember when GPUs burst onto the scene 25 years ago. More ...

Flow Computing is a pioneer in licensing on-die ultra-high-performance parallel computing solutions to CPU vendors of all architectures. And today the company is emerging from stealth with a funding ...

The GPU server market is poised for strong growth, driven by AI and ML adoption. Key opportunities lie in expanding high-performance computing capabilities, AI-centric investments, and deploying ...