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,

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

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

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

Meta outlined the rapid development of its Meta Training and Inference Accelerator (MTIA) program. It described four generations of chips created over roughly two years. These chips solve a key infrastructure problem that Meta considers essential for AI worldwide: quickly adjusting to evolving model architectures at low cost, without depending on long silicon development cycles.

Tenstorrent has introduced TT‑QuietBox 2 (Blackhole), a liquid‑cooled AI workstation designed to run models up to 120 billion parameters entirely on the desktop. The system combines a fully open‑source software stack with RISC‑V–based silicon and is positioned as a teraflop‑class inference platform that does not require racks, a server room, or specialized power. Inference as

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.

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,

During VAST Forward 2026, VAST Data introduced multiple updates, ranging from a full-stack agentic computing platform to a secure, scalable thinking machine. The VAST Data PolicyEngine and VAST Data TuningEngine are two new computing services that will enable the next generation of the VAST AI OS to meet key requirements for organizations looking to scale