Akamai's acquisition of Fermyon could bring more users to Wasm, which is gaining momentum as the WebAssembly System Interface (WASI) specification nears standardization.

Performance enhancement, cost reduction, data security, and improved energy efficiency are the end goals for optimizing AI workloads at the edge.

Implementing artificial intelligence at the edge can not only reduce latency and networking costs but also improve security and unlock the power of distributed intelligence.

The Sapphire Edge AI 370 is a compact, AI-powered mini PC with high performance that can be upgraded effortlessly.

Shares of Rigetti Computing (NASDAQ: RGTI) flew higher today, finishing up 15.4%. The jump came as the S&P 500 and Nasdaq ...

As AI workloads move from cloud to edge, the volume of image and sensor data across industries is rising rapidly. Edge ...

It’s always a gamble whether gifts or greeting cards will be on time for the holidays. Pushing off that visit to the post ...

The potential data center, called Project Tango, is causing much angst for residents in the western communities of the county ...

In eastern China, Hangzhou-based Zhejiang Laboratory has already put up a 12-sat mini computing constellation dubbed ...

What does it take to build India’s first fully dedicated AI Learning Lab and reshape the future of engineering education?

These Taiwan Excellence Award-winning companies are pioneering secure, high-performance AI and networking solutions.

Key changes make GPUs easier to program, more efficient, and harder for rivals to replace. New features enhance AI development, further locking developers into Nvidia's ecosystem. Nvidia ( NVDA) had ...