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AI  ◇  Enterprise

NVIDIA and Japan Launch 27,500-GPU Vera Rubin AI Factory as Physical AI Push Spans Every Industry

NVIDIA has disclosed a comprehensive multi-track strategy to accelerate AI adoption in Japan, combining a new national AI infrastructure buildout with a broad ecosystem of industry-specific models and specialized edge hardware. The strategy moves Japan toward a unified platform approach that addresses localized language requirements, demographic shifts, and industrial workflows across the robotics, healthcare, and

AI  ◇  Enterprise

Axelera’s Voyager Wingman Pitches 20-30% Better Results Than Claude Code for Edge AI Development

Axelera AI has launched Voyager Wingman, an AI-powered assistant designed to accelerate development with its Voyager Toolkit. The tool was first shown at CES in January and has since undergone extensive testing ahead of this broader release. Wingman lets developers use natural language to query the Voyager SDK and Axelera’s full documentation set, helping them

AI  ◇  Enterprise

Cloudera and VAST Data Take Aim at GPU Starvation With Joint AI Factory Stack

Cloudera and VAST Data have entered into a partnership to build a unified AI factory architecture for enterprises running continuous AI training, inference, and analytics workloads. The joint offering combines Cloudera’s containerized data services with the VAST AI Operating System, targeting a problem that has become increasingly common in enterprise AI deployments: expensive GPU clusters

WhiteFiber AI graphic
AI  ◇  Enterprise

WhiteFiber’s Project Redwood Links Two H200 Clusters Into One 111.2 Tbps Supercluster

WhiteFiber has disclosed initial R&D results for Project Redwood, a distributed GPU supercluster architecture designed to operate across geographically separated data centers. Announced last week, the test delivered 111.2 Tbps of throughput over 83 km of dark fiber, with a guaranteed round-trip latency of 0.9 ms. WhiteFiber said the latency is within 8% of the

AI  ◇  Enterprise

DDN and Nebul Validate KV Cache Acceleration for NVIDIA-Based AI Factories

At the RAISE Summit in Paris, DDN highlighted its ongoing collaboration with Nebul, a European sovereign-hybrid cloud provider, focused on improving the efficiency of large-scale AI inference deployments. Announced last week, the effort combines Nebul’s inference platform, DDN’s Infinia data intelligence architecture, and NVIDIA accelerated computing to address a growing production AI constraint: the cost

SK hynix HBM4E graphic
AI  ◇  Enterprise

SK hynix Ships 12-High HBM4E Samples: 16Gbps Per Pin and 48GB Stacks

SK hynix says it shipped samples of its 12-stack HBM4E (High Bandwidth Memory) to major customers, marking the next step in the company’s AI memory roadmap. The company said the samples were delivered on schedule and that it will work closely with partners toward timely mass production. HBM4E builds on the company’s HBM portfolio with

nvidia omniverse free
AI  ◇  Enterprise

NVIDIA Quietly Makes Omniverse Free for Production Use

NVIDIA has dropped the subscription requirement for Omniverse. The platform is now free for development, production, and redistribution, with no NVIDIA AI Enterprise subscription required. For a product that carried a $4,500-per-GPU-per-year list price under NVIDIA AI Enterprise, and whose Nucleus server pricing prompted a developer forum thread titled “Pricing: $25,000 for the nucleus server!?”,

Jetcool RTX Pro 6000
AI  ◇  Enterprise  ◇  Hyperconverged  ◇  Server

JetCool Brings SmartPlate Direct-to-Chip Cooling to the Dell PowerEdge XE7745

JetCool has introduced a liquid-cooled version of the Dell PowerEdge XE7745, combining the server, direct-to-chip liquid cooling, rack infrastructure, deployment services, lifecycle support, and unified warranty coverage into a single integrated offering. The solution is delivered factory-tested and ready for deployment, simplifying the rollout of high-density AI and HPC infrastructure while reducing operational complexity. The

AI  ◇  Enterprise

Supermicro Adds NVIDIA Vera Rubin NVL4 DCBBS Blueprint for Converged HPC and AI

Supermicro has introduced a new Data Center Building Block Solutions (DCBBS) Blueprint for HPC based on the NVIDIA Vera Rubin NVL4 platform. The announcement extends the company’s DCBBS architecture strategy beyond enterprise AI deployments to scientific computing environments, providing a reference framework for deploying large-scale HPC and AI infrastructure. The new blueprint follows the NVIDIA