… NetApp stated that customers can migrate existing datasets directly into the service and immediately access Google Cloud-native services, including AI and analytics tools, against that data. …
… These enhancements streamline data access for AI training, inference, and KV cache use cases while supporting analytics and cyber resilience workflows. …
… Current Integrations and Availability Several IBM and partner technologies are now available through the Google Cloud Marketplace, reflecting a focus on simplifying procurement, deployment, and lifecycle management. …
Liquid-Cooled Blackwell and 15,000 Heated Homes: Verda Builds a Sustainable AI Cloud on Supermicro by Harold Fritts on May 27, 2026 AI ◇ Enterprise Verda, a European AI cloud provider, has selected Supermicro’s liquid-cooled, NVIDIA Blackwell-accelerated rack-scale systems to power a vertically int… …
… Multi-tenancy is also enhanced, enabling isolation of AI workloads across teams or customers while maintaining high utilization of shared GPU and CPU resources. This is especially relevant for service providers and large enterprises consolidating AI infrastructure. …
… This is particularly relevant for AI deployments, where dynamic workloads and resource demands require continuous optimization. Availability The HPE ProLiant Compute DL394 Gen12 is expected to be available in fall 2026 as part of the NVIDIA AI Computing by HPE portfolio. …
LiquidStack GigaModular CDU Hits General Availability, Scales to 14 MW for Vera Rubin by Harold Fritts on May 28, 2026 Accessories ◇ Enterprise LiquidStack announced the general availability of its GigaModular coolant distribution unit platform, targeting high-density AI and HPC deployments requiri… …
… Dell is also widening the software and model layer around the AI Factory. A new Dell AI Ecosystem Program provides software vendors with a validation path to run on Dell AI Factory infrastructure. Dell is pairing that with a series of partner integrations that reinforce its on-premises AI message. …
… Integrating vector indexing into standard file systems aims to simplify deployment and lower barriers to enterprise AI adoption. By embedding RAG capabilities directly in storage, IBM is positioning CAS as a foundational layer for AI-enabled infrastructure. …
… It is designed for demanding AI workloads, including model training, pre-training, and high-throughput inference. …