The LPU, or Language Processing Unit, is a custom AI inference accelerator designed and built by Groq, Inc. Founded in 2016 by Jonathan Ross, a former Google engineer credited as one of the original inventors of the TPU, Groq spent years developing a deterministic, software-defined processor architecture from the ground up. Unlike GPUs, which rely
HPE has announced the HPE AI Grid, a comprehensive infrastructure solution aligned with the NVIDIA AI Grid reference architecture. It is designed to securely connect AI factories and distributed inference clusters across regional and remote edge locations. HPE positions this platform for service providers that need to deploy and manage thousands of distributed inference sites
HPE has announced a significant expansion of the NVIDIA AI Computing by HPE portfolio, introducing integrated systems designed to scale enterprise AI deployments while maintaining security and governance. The update focuses on co-engineered, validated architectures intended to accelerate time-to-value for AI inferencing and model development. HPE CEO Antonio Neri and NVIDIA CEO Jensen Huang positioned
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,
KIOXIA has announced the GP Series, a new SSD designed for AI systems that would allow GPUs to directly access flash memory as an extension of high-bandwidth memory, or HBM. They’ve dubbed this drive a “Super High IOPS SSD” built for AI and high-performance computing workloads. According to Kioxia, the drive is designed to expand
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
Micron announced a suite of high-volume production AI memory and storage products at NVIDIA GTC 2026, headlined by its HBM4 36GB 12-high stack, its 192GB SOCAMM2 module, and the Micron 9650 PCIe Gen6 data center SSD. Micron HBM4 The HBM4 36GB 12H product entered volume shipment in the first quarter of calendar 2026 and is designed
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
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