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AI  ◇  Enterprise

NVIDIA DGX Rubin NVL8 Supports Intel Xeon 6 as Host CPU Option for x86-Based AI Inference

At NVIDIA GTC 2026, Intel announced that its Intel Xeon 6 processors are being used as the host CPUs for NVIDIA DGX Rubin NVL8 systems. This design win extends the established use of Xeon within NVIDIA’s GPU platforms and underscores the processor’s role in orchestrating large-scale, GPU-accelerated AI infrastructure. As AI workloads transition toward massive,

AI  ◇  Enterprise

HPE Cray GX5000 and AI Factory Get NVIDIA Vera Rubin NVL72, Quantum-X800 InfiniBand, and New Blackwell Options

HPE has unveiled updates to the NVIDIA AI Computing by HPE portfolio to support large-scale AI factories and next-generation supercomputers. The offerings combine compute, GPUs, networking, liquid cooling, software, and services into full‑stack solutions designed for at‑scale and sovereign environments. NVIDIA AI Integrated into HPE Exascale Supercomputing Platform. Argonne National Laboratory, HLRS, Hudson River Trading,

AI  ◇  Client Accessories  ◇  Cloud  ◇  Enterprise  ◇  Workstation

Lenovo Expands Hybrid AI Advantage with NVIDIA at GTC 2026: New Inference Platforms, Workstations, and Rack-Scale AI Cloud

At NVIDIA GTC, Lenovo introduced an expanded phase of its Lenovo Hybrid AI Advantage with NVIDIA, positioning the portfolio as an end-to-end path for production AI inferencing across client devices, enterprise infrastructure, and large-scale AI cloud deployments. The announcement centers on accelerating AI adoption, cutting time-to-first-token (TTFT), and improving per-token economics as organizations move from

AI  ◇  Enterprise

Dell Expands AI Factory with NVIDIA at GTC 2026: New Data Engines, Lightning File System, and Exascale Storage

Dell Technologies has introduced the Dell AI Data Platform, a set of data and storage technologies aligned with NVIDIA’s AI ecosystem, designed to help enterprises move from AI pilots to production-scale, agentic systems. The platform is designed to address a familiar constraint in enterprise AI: data that is too slow, siloed, or poorly governed to

AI  ◇  Enterprise

NVIDIA GTC 2026: Rubin GPUs, Groq LPUs, Vera CPUs, and What NVIDIA Is Building for Trillion-Parameter Inference

At GTC 2026 in San Jose, NVIDIA CEO Jensen Huang delivered a keynote outlining the company’s next-generation AI infrastructure platform and a sweeping set of announcements spanning silicon, systems, software, and ecosystem partnerships. With more than 30,000 attendees from over 190 countries, GTC 2026 served as the stage for NVIDIA’s most comprehensive platform refresh since

Dell Pro Precision tower family lineup
Consumer  ◇  Workstation

Dell Expands Professional Workstation Portfolio with New Precision and Pro Max Systems

Dell Technologies has introduced a broad refresh of its professional workstation lineup, spanning large tower systems, mobile workstations, and AI-focused developer systems. The announcement includes several additions across the Dell Pro Precision family, as well as two systems in the Pro Max line, covering workloads ranging from engineering and design to AI development and high-performance

Enterprise  ◇  Enterprise Storage

Everpure Aligns FlashBlade//EXA with NVIDIA AI Factory Architectures, Previews Data Stream

Everpure is aligning its FlashBlade//EXA platform with NVIDIA’s evolving AI Factory architectures while previewing a new automation layer called Everpure Data Stream. The announcement extends Evergreen//One support to EXA and introduces a service designed to streamline data movement across AI pipelines, targeting one of the most common enterprise AI challenges: projects that work in pilot

Client SSD  ◇  Consumer

Corsair MP700 MICRO 4TB Review: PCIe Gen5 Performance in a Compact 2242 SSD

The Corsair MP700 MICRO 4TB SSD delivers next-generation storage bandwidth in a more compact form factor. Built around the compact M.2 2242 form factor using a PCIe Gen5 x4 interface, this drive is designed for thin and light laptops as well as small-form-factor workstations that need serious storage throughput on a much shorter PCB. With