HPE announces the HPE AI Grid powered by Nvidia

HPE has announced the HPE AI Grid, an end-to-end solution built on the NVIDIA reference architecture to securely connect AI factories and distributed inference clusters across regional and far‑edge sites. The HPE AI Grid enables service providers to deploy and operate thousands of distributed inference sites, turning AI installations into a single intelligent system.

AI‑native applications require predictable, low‑latency, distributed infrastructure. The HPE AI Grid solution, part of NVIDIA AI Computing by HPE portfolio, delivers predictable, ultra‑low latency performance at scale for real‑time AI services, zero‑touch provisioning, and automated security with integrated orchestration.

“We’re redefining how AI is delivered by moving intelligence to where data and users live and making the network the dependable fabric for real-time experiences,” said Rami Rahim, executive vice president, president and general manager, Networking, HPE. “HPE AI Grid with NVIDIA gives service providers a secure, scalable way to operate distributed inference as a single system—delivering predictable, ultra-low latency performance so customers can innovate faster, reduce risk, and create new services.”

“An AI Grid unifies geographically distributed AI clusters to place AI workloads where they run best—balancing performance, cost, and latency across AI factories, regional sites, and the edge,” said Chris Penrose, global vice president, Telco, NVIDIA. “Together with HPE, we’re bringing that vision to life by combining NVIDIA’s accelerated computing and networking with HPE’s telco‑grade multicloud routing and edge infrastructure to create a single, intelligent fabric for distributed inference.”

The HPE AI Grid aligns with NVIDIA AI Grid reference architecture to provide a unified hardware and software stack for service providers. The HPE AI Grid is differentiated by HPE’s ability to offer full-stack AI servers and AI networks. The HPE AI Grid includes:

·  HPE Juniper’s telco-grade multicloud routing and coherent optics for predictable long-haul and metro connectivity; cloud-native and multi-tenant security; firewalls; WAN automation; and orchestration to deliver zero-touch deployment and lifecycle operations

·  HPE ProLiant Compute edge and rack servers with NVIDIA accelerated computing, including NVIDIA RTX PRO 6000 Blackwell GPUs, as well as NVIDIA BlueField DPUs, Spectrum-X Ethernet switches, Connect-X SuperNICs, and AI blueprints for rapid AI inference

HPE AI Grid creates new opportunities for service providers

Service provider use cases—from retail personalization and predictive maintenance to edge healthcare and carrier‑grade AI services—demand predictable, ultra‑low latency connectivity. HPE AI Grid lets operators convert existing sites with power and connectivity into RAN‑ready AI grids, enabling distributed inference and new services at scale.

As part of advancing its AI grid strategy, Comcast announced today new AI field trials on its highly distributed network for real-time edge AI inferencing to unlock faster, more responsive experiences for the next wave of AI applications. The initial trials addressed several use cases, including leveraging HPE ProLiant servers running small language models from Personal AI, part of HPE’s Unleash AI parter program, on NVIDIA GPUs to deliver AI-powered “front desk” services for small businesses.

To further accelerate adoption of AI‑ready networks and distributed AI infrastructure, HPE Financial Services is also extending its 0% financing on networking AIOps software including HPE Juniper Networking Mist, and its financing providing the equivalent of 10% cash savings on AI‑ready networking leases.