Kimi K2.5 introduces a multi-agent orchestration with up to 100 workers, helping teams cut complex task time and boost accuracy.

As AI demand shifts from training to inference, decentralized networks emerge as a complementary layer for idle consumer hardware.

This decision represents far more than a new product launch; it is the culmination of Nvidia's push to become a one-stop silicon provider for AI and ...

The LightGen chip is orders of magnitude more efficient too. But it isn't ready to break out of the lab just yet. As generative AI models grow more powerful, their energy use is becoming a serious ...

Design teams face rising pressure to deliver larger chips with higher transistor densities on tighter schedules using advanced node processing. The computing demands of modern applications, especially ...

Nebius Group NV (NASDAQ: NBIS) on Wednesday announced the release of Nebius AI Cloud 3.1, introducing Nvidia Corp.'s (NASDAQ: NVDA) next-generation Blackwell Ultra compute and expanded operational ...

As artificial intelligence (AI) transitions from cloud-centric operations to edge devices, the hardware that powers AI is undergoing significant change. While graphics processing units (GPUs) have ...

Nvidia Corp (NASDAQ: NVDA) has developed new software that can help determine where its chips are being used, aiming to curb the smuggling of its artificial intelligence processors into countries ...

CUDA allowed NVIDIA GPUs to do what CPUs never could—fast, parallel computation for AI and machine learning. Analysts say this breakthrough laid the foundation for modern AI applications. From ...

The quantum computing industry has transitioned from a realm of scientific curiosity to one of commercial utility, with real revenue now flowing to leading players. Three distinct technological ...

What’s happened? AMD has reportedly informed its graphics-card board partners that it will implement a price increase of at least 10% across its Radeon GPU lineup due to soaring memory module costs.