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 ...

Over the years, data centers have reinvented themselves through virtualization, the cloud and AI. The next iteration is ...

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

Nvidia is the king of artificial intelligence, but staying stuck in one tech trend is not a smart move. We’ve seen the company pivot from gaming to crypto and from crypto to AI. Predicting the next ...

There is a seemingly endless list of problems to be solved and issues to be addressed in vendors’ steady march toward quantum computing. Researchers in Europe say they recently solved a “decades-old ...

[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 ...

Earlier in January 2026, FICO released version 9.8 of its FICO Xpress Optimization suite, integrating NVIDIA CUDA-X libraries to accelerate its hybrid gradient algorithm and delivering much faster ...

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.

In an interesting development for the GPU industry, PCIe-attached memory is set to change how we think about GPU memory capacity and performance. Panmnesia, a company backed by South Korea’s KAIST ...

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 ...

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 ...