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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

AI  ◇  Enterprise

Qualcomm Unveils Dragonfly Data Center Roadmap: C1000 CPU, AI300 Accelerator, and Modular Acquisition

Qualcomm Technologies had a full plate during its 2026 Investor Day, laying out an aggressive data center strategy built around three major announcements: the acquisition of AI software company Modular Inc., the introduction of the Dragonfly C1000 CPU and expanded inference accelerator portfolio, and deepened partnerships with Hugging Face and Meta. Together, the moves signal

DDN AI400X3 hero
AI  ◇  Enterprise

DDN Launches AI400X3M and Dynamo-Integrated KV Cache Acceleration at ISC 2026

At ISC 2026, DDN announced a broad expansion of its AI and HPC data platform portfolio, introducing new hardware, software, and platform capabilities designed to improve GPU utilization, accelerate AI inference, and simplify large-scale AI infrastructure deployments. The announcements include the AI400X3M storage appliance, the general availability of DDN’s distributed KV Cache acceleration technology integrated

AI  ◇  Enterprise

Micron and Anthropic Form Strategic AI Infrastructure Partnership

Micron has announced a strategic agreement with Anthropic focused on AI memory and storage architecture, long-term component supply, enterprise deployment of Anthropic’s Claude models within Micron, and participation in Anthropic’s Series H funding round. The partnership aligns infrastructure development more closely with the requirements of large-scale AI training and inference environments. The companies plan to

AI  ◇  Enterprise

AMD and IBM Advance Hybrid Quantum-Centric Supercomputing Strategy

As quantum computing continues its transition from research labs to practical computing environments, AMD and IBM are positioning themselves around a common vision: hybrid computing architectures that combine quantum processors, high-performance computing (HPC), and AI into a unified platform. Recent disclosures from both companies outline a growing partnership focused on building the infrastructure required to