OpenAI Launches AI-Keypad Micro for ChatGPT Users
OpenAI introduced Micro, a customizable keypad for ChatGPT, priced at $230, with mixed reactions from users.
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The chips and systems powering modern AI — GPUs, accelerators, data-center infrastructure, and the hardware roadmaps from Nvidia, AMD, and custom silicon makers driving training and inference.
OpenAI introduced Micro, a customizable keypad for ChatGPT, priced at $230, with mixed reactions from users.
AT&T and Microsoft announced a partnership to scale trillion-token workloads using Microsoft Foundry and AMD technology, marking a new milestone in large-scale AI model training.
Hugging Face reports the AMD MI455X supports over three times more concurrent requests than its predecessor, with 432 GB of high-bandwidth memory.
AMD announced its Helios AI rack-scale system at its Advancing AI conference, set for shipment later this year, aiming to challenge Nvidia's dominance in the market.
AI chip startup Etched closed a $300 million Series C round at a $10.3 billion valuation, doubling its previous $5 billion valuation from December.
OpenAI announced a $750 billion infrastructure investment through 2030, a 25% increase from earlier estimates, as it seeks to expand its data center operations.
Data centers are projected to consume one-fifth of U.S. electricity by 2035, four times current levels, according to BloombergNEF.
Nvidia’s Vera Rubin system processes 10 times more tokens per watt than its predecessor, with a release expected in the second half of 2025.
Syensqo is enhancing materials for AI infrastructure, using innovations in polymers and fluids to meet rising demands in semiconductor manufacturing and data centers.
Alphabet is working on a new AI chip, dubbed Frozen v2, set for release in 2028, potentially 6-10 times more efficient than current models.
Microsoft plans to increase use of AMD AI chips in Azure cloud by mid-2026, signaling a shift from Nvidia's dominance in the market.
Google's Frozen v2 chip could be 6 to 10 times more efficient than current TPU chips for AI tasks, according to sources.