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AI  ◇  Enterprise

MinIO Introduces AIStor Table Sharing for Direct On-Premises Data Access from Databricks

MinIO has launched AIStor Table Sharing, a new feature in MinIO AIStor that enables businesses to make on-premises data directly accessible to the Databricks platform via the Delta Sharing open protocol. This feature enables Databricks to access current on-premises datasets immediately for analytics and AI tasks, without the need for traditional data movement or replication.

Enterprise

Podcast #147: Inside HPE’s New Model for High-Performance Data Protection

In this week’s podcast, Brian journeyed to Raleigh to visit with HPE’s Chad Bowninger. Chad is Principal Product Manager for Solutions focused on HPE Alletra Storage MP X10000 and the new data protection accelerator node (DPAN). This is a casual conversation despite the technical topic. Chad even brought in a sofa to make it even

Consumer  ◇  Workstation

Acer Veriton GN100 Review: A Standout in the NVIDIA Spark Ecosystem

The Acer Veriton GN100 AI Mini Workstation is one of several Spark-based systems we are evaluating, all built around NVIDIA’s GB10 Grace Blackwell Superchip. Like the others, the GN100 is designed to bring datacenter-class AI compute into a compact desktop form factor, enabling developers and researchers to run and refine models locally rather than relying

Consumer  ◇  Workstation

Dell Pro Max with GB10 Review

When we first got our hands on the NVIDIA DGX Spark back in October, it was clear that NVIDIA was serious about shrinking datacenter-class AI down to something that could live on a desk. Our initial Founders Edition sample gave us an early look at what the Grace Blackwell-based GB10 platform could do in a

Consumer  ◇  Workstation

GIGABYTE AI TOP ATOM Review

With the initial release of NVIDIA’s DGX Spark platform, we’re now seeing different vendors package the GB10 Grace Blackwell foundation into their own compact desktop systems. While the core board and silicon remain standardized, differences emerge in chassis design, cooling behavior, storage configuration, and overall execution. In this review, we’re focusing on GIGABYTE’s implementation with

Consumer  ◇  Workstation

ASUS Ascent GX10 Review

The ASUS Ascent GX10 follows the same core build around the NVIDIA GB10 Superchip, pairing an Arm v9.2-A CPU complex with integrated Blackwell graphics and 128GB of unified LPDDR5x memory. NVIDIA rates the platform at up to 1 petaFLOP of FP4 AI compute, supporting model fine-tuning up to 200 billion parameters. CPU and GPU communication

NVIDIA Autonomous networks blog image
Enterprise  ◇  Networking

NVIDIA Pushes Telco Toward Autonomous Networks With Open Nemotron LTM and New Blueprints

Autonomous networks, once seen as a distant goal for telecom, are now a pressing priority. According to NVIDIA’s latest State of AI in Telecommunications report, network automation is the top AI use case for investment and actual returns, showing where operators find immediate value from AI. Although many telcos already automate set workflows, achieving true

Consumer  ◇  Workstation

AMD Expands Ryzen AI 400 Series to Desktop and Mobile Workstations

At Mobile World Congress 2026, AMD announced an expanded Ryzen AI portfolio with new desktop parts and broader mobile coverage, positioning the Ryzen AI 400 Series as a single platform spanning high-performance desktops, laptops, and mobile workstations. The company introduced the AMD Ryzen AI 400 Series and Ryzen AI PRO 400 Series desktop processors, along

AI  ◇  Enterprise

MWC 2026: AMD Targets Telco-Grade AI from Core to Edge

At MWC 2026 in Barcelona, AMD highlighted how its portfolio is helping telecom operators move from AI pilots to production deployments as they transition from traditional RAN to open, virtualized architectures. The company is positioning a combination of open software stacks, GPUs, CPUs, networking, and adaptive computing to support distributed, telco-grade AI across core, edge,

AMD and Nutanix partnership
Enterprise  ◇  Server

AMD and Nutanix Announce Strategic Partnership for Open Agentic AI Infrastructure

AMD and Nutanix have formed a multi-year partnership to create an open, full-stack AI infrastructure platform. This collaboration aims to support agentic AI applications in data centers, hybrid cloud, and edge environments. The agreement seeks to deliver a production-ready, high-performance alternative to integrated AI stacks by using open standards and compatible software frameworks. The partnership