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Blackwell GPU
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- 1Nvidia RTX Spark laptops go on sale with Blackwell GPU▼Nvidia's RTX Spark laptops are now on sale from six hardware partners, introducing the Blackwell GPU architecture to por
Laptops built around Nvidia's RTX Spark platform are now available from six hardware partners, bringing the Blackwell GPU architecture to portable Windows PCs for the first time. The launch marks Nvidia's effort to push its latest graphics and AI silicon into smaller, mobile form factors, and tech outlets are covering the rollout as a notable step for on-device AI and high-performance portable computing.
- 2GMO Internet to Build Hokkaido AI Infrastructure with NVIDIA B300 Servers▼GMO Internet to Build Hokkaido AI Infrastructure with Up to 116 NVIDIA B300 Servers
Japanese internet and telecommunications company GMO Internet has announced plans to build AI computing infrastructure in Hokkaido, deploying up to 116 servers based on NVIDIA's B300 chips. The facility will expand the company's GPU capacity for AI services, adding to Japan's growing investment in domestic data center and high-performance computing capacity.
- 3AlphaTON Deploys Nvidia Blackwell Chips To Boost AI Revenue▼AlphaTON Deploys Nvidia Blackwell Chips To Boost AI Revenue Amid Share Sale Announcement
AlphaTON Capital has begun deploying Nvidia's Blackwell chips as part of its push to generate revenue from artificial intelligence infrastructure. The announcement came at the same time as news of a share sale, prompting investor discussion about whether the AI hardware bet can offset dilution concerns. The move positions the company alongside others racing to monetise high-end GPU computing capacity.
- 4NVIDIA RTX Spark laptops launch at $2,599 with on-device AI●NVIDIA RTX Spark Laptops Debut Starting at dollar 2,599 Featuring 128GB RAM and On-Device AI # gadget # artificialintell
NVIDIA's RTX Spark laptops have debuted starting at $2,599, bringing up to 128GB of unified memory to notebook form factors. The machines pair a Blackwell architecture GPU with a Grace CPU and are built to run AI workloads directly on the device, targeting developers and creators who want local AI performance without relying on the cloud.