At the Google Cloud Next conference, Google and NVIDIA outlined their hardware roadmap designed to address the cost of AI inference at scale. The companies detailed the new A5X bare-metal instances, which run on NVIDIA Vera Rubin NVL72 rack-scale systems. Through hardware and software codesign, this architecture aims to deliver up to ten times lower […]
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SANTA CLARA, Calif. and CORNING, N.Y., May 7, 2026 — NVIDIA and Corning Incorporated have announced a multiyear commercial and technology partnership to dramatically expand U.S.-based manufacturing of the advanced optical […]
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The Fitbit Air can be preordered today and will be available starting May 26th. | Image: Google
It's a Whoop dupe. That was my first thought when I saw the new $99 Google Fitbit Air. You can hardly blame me. The band is screenless with a metallic fabric clasp. My eyes flickered between the Fitbit Air and my wrist, where I'm wearing a Whoop MG. Was I not seeing double?
But as my press briefing went on, my opinion started changing. The Air is sort of like the OG Fitbits that Whoop then duped once Fitbit went all in on smartwatches. Think back to 2012, when the Fitbit One could clip to your pants, be turned into a pendant, or dangle from a keychain. That device was mostly a pedometer, whereas the Air is more of a modern, modular sensor t …
Read the full story at The Verge.
Google’s A.I. search technology is far from perfect (don’t count on it for celebrity news), but it excels at tasks like picking out groceries and detecting scams.
Google is updating its AI-powered search experience to surface richer context alongside results, including previews from public online discussions, social media, and firsthand community sources. Links will now display additional metadata such as creator names and community handles to help users evaluate credibility before clicking. The update also highlights links from a user’s existing news […]
MRC (Multipath Reliable Connection) is a new open networking protocol developed by OpenAI in partnership with AMD, Broadcom, Intel, Microsoft, and NVIDIA that improves GPU networking performance and resilience in large-scale AI training clusters by spreading packets across hundreds of paths simultaneously, recovering from network failures in microseconds, and enabling supercomputers with over 100,000 GPUs to be built using only two tiers of Ethernet switches.
The post OpenAI Introduces MRC (Multipath Reliable Connection): A New Open Networking Protocol for Large-Scale AI Supercomputer Training Clusters appeared first on MarkTechPost.
A familiar pattern has emerged in robotics and autonomous systems: a flagship demo runs beautifully on stage, the same system stumbles in a live warehouse two weeks later, and the post-mortem blames “reality” for being messier than the test environment. Some voices in the field argue the missing layer is hardware — better grippers, force-torque […]