PCMag

With Nvidia's GB10 Superchip, I’m Running Serious AI Models in My Living Room. You Can, Too

I’m a traditional software engineer. Join me for the first in a series of articles chronicling my hands-on journey into AI development using Dell's Pro Max mini-workstation with Nvidia’s Grace ...
Chiang Rai Times

OpenAI’s Push to Own the Developer Ecosystem End-to-End

That's why OpenAI's push to own the developer ecosystem end-to-end matters in26. "End-to-end" here doesn't mean only better models. It means the ...

IBM Brings Autonomous Agentic-AI Operations To Enterprise Storage

IBM's next-gen FlashSystem storage arrays combine agentic AI, hardware-native ransomware detection, and record capacity for ...
EDN

AI is stress-testing processor architectures and RISC-V fits the moment

RISC-V’s expanding role in AI is not a rejection of incumbent architectures, which continue to deliver performance and ...
Data Center Frontier

From Lab to Gigawatt: CoreWeave’s ARENA and the AI Validation Imperative

CoreWeave’s ARENA enables production-scale AI workload validation on GPU clusters that mirror live infrastructure, giving enterprises empirical insight into performance, cost ...
Android Central on MSN

Google Pixel 10a vs. Pixel 10: How does Google's affordable model stack up?

The Google Pixel 10a is the most affordable budget option in the new line, and we can help you decide if you should get it or ...
IEEE

Memory Robot Design: A New Perspective From Human Brain Model and Large Language Model

Abstract: With the spread of generative AI, the study proposed a memory-based cognitive robot architecture by using a Large Language Model (LLM), inspired by the working memory of the human brain ...
CNBCTV18

Sarvam Edge: Indian AI firm pushes offline models to reduce cloud spending as AI Impact Summit nears

Sarvam AI unveils Sarvam Edge, an offline AI stack for smartphones, focusing on privacy, efficiency, and accessibility ahead of India's AI Impact Summit.

Nvidia’s new technique cuts LLM reasoning costs by 8x without losing accuracy

Nvidia researchers developed dynamic memory sparsification (DMS), a technique that compresses the KV cache in large language models by up to 8x while maintaining reasoning accuracy — and it can be ...
搜狐

Valve's Steam Machine and Frame: Navigating the Memory Crisis

The gaming industry is not new to hardware shortages, but the current memory crisis is particularly severe. As Valve pointed out in their announcement, the limited availability and rising prices of ...
InfoWorld

What is context engineering? And why it’s the new AI architecture

While some consider prompting is a manual hack, context Engineering is a scalable discipline. Learn how to build AI systems that manage their own information flow using MCP and context caching.
Thurrott

Valve Delays Steam Machine and Steam Frame Due to Memory and Storage Shortages

Valve has delayed the release of its new Steam Machine and Steam Frame headset, which it previously expected to launch in early 2026. The company cited memory and storage shortages for the delay, ...