… The company notes that actual results depend on workload characteristics, lifecycle classification, software integration, and device configuration. “AI inference infrastructure needs SSDs that provide more than additional capacity,” said Hao Zhong, CEO and co-founder of ScaleFlux. “Infrastructure t… …
… The Dell PowerEdge XE7745 is designed for AI, HPC, and GPU-accelerated workloads. It supports dual 5th Gen AMD EPYC processors and up to eight NVIDIA RTX PRO 6000 Blackwell GPUs, providing a dense compute platform for enterprise AI environments. …
… Previous post: Qumulo and Cisco Pitch GPU Liquidity With Updated Cloud AI Accelerator
… Policy-driven lifecycle management allows administrators to map workloads to the appropriate storage class based on performance, cost, and retention requirements. …
… Organizations can start with a single-node configuration using as few as two GPUs, then scale by adding compute nodes, GPU capacity, storage, and network bandwidth as demand grows. …
VDURA and Wasabi Pair GPU-Adjacent AI Storage With No-Egress-Fee S3 Archiving by Harold Fritts on August 4, 2026 Cloud ◇ Enterprise VDURA and Wasabi Technologies have formed a technology alliance to connect GPU-adjacent AI data infrastructure with predictably priced, S3-compatible cloud storage. …
… Previous post: Supermicro’s Edge AI Appliances Drop the Per-Site Storage Array With Portworx and OpenShift Next post: Cloudera and VAST Data Take Aim at GPU Starvation With Joint AI Factory Stack
… The step builds on an existing relationship: Proxmox VE became a supported hypervisor for NVIDIA vGPU starting with vGPU 18 in early 2025, which brought GPU virtualization to Proxmox environments for graphics-intensive and AI development workloads. …
… Cloudera and VAST are positioning their combined stack as a fix for that bottleneck, aiming to keep GPUs fed with low-latency data throughout the full AI lifecycle. …