Rami Rahim

Executive vice president, president and general manager, Networking, HPE

“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.”

HPE delivers end-to-end AI grid solution that speeds time to value for deploymentThe 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 AI Grid creates new opportunities for service providersService 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 partner program, on NVIDIA GPUs to deliver AI-powered “front desk” services for small businesses.

Industry Reactions to HPE AI Grid with NVIDIA“HPE and NVIDIA have been strategic partners in building TELUS’ Sovereign AI Factory, Canada’s

fastest and most powerful supercomputer, which is enabling researchers, businesses, and institutions to innovate at scale,” said Nazim Benhadid, Executive Vice-president and Chief Technology Officer, TELUS. “As TELUS looks to bring AI closer to customers, advance AI-powered network optimization and deliver faster service, HPE AI Grid powered by NVIDIA is a solution we are interested in exploring further as we continue our transformational AI journey.”

"Our customers increasingly expect millisecond responsiveness, low-latency connectivity and comprehensive security to support their applications and services,” said Neil McRae, CTIO at CityFibre. “We’re exploring how AI Grid from HPE, based on NVIDIA’s reference architecture, could support distributed AI inferencing and bring intelligence closer to users and data. By leveraging our fiber network assets, we see potential to combine high-performance connectivity with intelligent services for customers.”

HPE Financial Services accelerates AI-ready networking and distributed AI infrastructureTo 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.

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