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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

IBM Power S1112 hero
Enterprise  ◇  Server

IBM Power S1112 Brings Local AI Inference to the Edge as Power Goes Autonomous

IBM has expanded its Power server lineup with new software to automate infrastructure management and application development. The announcements include IBM Power Autonomous Operations, an agentic control layer for system management, and the IBM Bob Premium Package for i, an AI-driven development assistant for IBM i environments. IBM also introduced the Power S1112, a compact

Enterprise  ◇  Server

Supermicro’s Edge AI Appliances Drop the Per-Site Storage Array With Portworx and OpenShift

Supermicro has introduced Kubernetes Edge AI Appliances, developed in partnership with Red Hat and Everpure. The pre-integrated systems combine Supermicro edge servers, Red Hat OpenShift, and the Portworx by Everpure Kubernetes data management platform to support AI inference, containers, and virtual machines across distributed sites. The offering is positioned as a validated, software-preloaded deployment model

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

NVIDIA GB300
Cloud  ◇  Enterprise

DeepInfra Opens 1.7MW Toronto Data Center With 1,000+ NVIDIA B300 GPUs

DeepInfra has opened a new AI data center in Toronto, marking the company’s first deployment outside the United States and its ninth facility overall. Announced July 8, the site expands DeepInfra’s global inference infrastructure as demand shifts from AI model training toward production inference workloads. The Toronto facility provides 1.7 MW of capacity and will

Enterprise  ◇  Enterprise Storage

Scality and WEKA Expand Partnership in France with Local AI Infrastructure Support

Scality and WEKA have expanded their partnership in France with a new joint customer support agreement that gives French organizations a single in-country point of contact for sales and tier-one technical support. The agreement, announced July 7 ahead of RAISE Summit 2026 in Paris, is intended to simplify deployment and ongoing operations for enterprises adopting

Cloud  ◇  Enterprise

NVIDIA Pairs Revenue Sharing With Credit Support to Finance AI Cloud Buildouts

NVIDIA has introduced a new business model to accelerate the deployment of AI infrastructure by combining revenue sharing with credit support for AI cloud providers. Announced July 1 in a blog post co-authored by CFO Colette Kress, the initiative is designed to expand access to accelerated computing for AI startups, model developers, enterprises, research organizations,