“No one deploys AI at Meta’s scale,” Nvidia CEO Jensen Huang said in a news release. Meta plans capital expenditure, mostly on data centers and the computing infrastructure they contain, of $115 ...

With just 768 KB of internal memory, 32MB of PSRAM, and 16MB of SPI flash storage, the Olimex ESP32-P4-PC is clearly not meant for use as a general purpose computer. But it’s a fairly versatile system ...

From 10 to 12 March 2026, the embedded world Exhibition&Conference will once again transform Nuremberg into the meeting place for the international embedded community.

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

The global AI landscape is increasingly being seen as a two-horse race between the United States and China, where the vast majority of infrastructure, capital, and talent are concentrated.| India News ...

According to separate press releases from Meta and Nvidia, the social media giant will use the chips to power its planned hyperscale data centers optimized for ...

Recognising the strategic importance of chip design, the DLI Scheme has approved 24 semiconductor design projects from domestic startups and MSMEs for financial support.

On the surface, this is about Meta building a massive AI infrastructure with hyperscale data centers optimized for data training and inference, but there's more to the story.

Explore the 2026 ARM vs x86 battle—comparing processor architecture, CPU performance, and energy efficiency to reveal which chip design leads modern computing innovation.

Automatic Discovery of User-exploitable Architectural Security Vulnerabilities in Closed-Source RISC-V CPUs” was published by ...

Rep.: ‘We can’t risk giving our biggest adversary tools so critical for powering advanced AI models that will determine the global balance of power.’ ...

The chip was designed as part of Europe's broader effort to reduce reliance on non-European processor technologies.