Spectrum Deploys AI Infrastructure at the Network Edge Using NVIDIA AI Grid

Spectrum is deploying remote graphics processing units at the network edge to support latency sensitive applications and compute heavy use cases. The company is using the NVIDIA AI Grid reference design over its fiber broadband network. Spectrum's Edge Compute Infrastructure positions hundreds of megawatts of power from more than 1,000 edge data centers and hubs. These sites are less than 10 milliseconds away from 500 million devices in homes and businesses connected to the network. The deployment demonstrates enterprise level low latency remote NVIDIA AI infrastructure use cases built on NVIDIA RTX PRO 6000 Blackwell Server Edition technology and a distributed AI Grid. Animation artists can render computer generated imagery with GPU compute resources located nearby at the edge of the network. Spectrum leveraged NVIDIA's AI Grid reference design, which provides a unified hardware and software platform to build, deploy and manage GPUs and AI across distributed sites. The collaboration uses Spectrum's fiber broadband network and Edge Compute Infrastructure. Rich DiGeronimo, president of product and technology at Spectrum, said the company is supporting the next wave of enterprise workloads by providing connectivity and infrastructure for real time applications. He noted the company's advantage is its footprint with more than 1 million miles of infrastructure delivering gig or greater speeds to tens of millions of customers. Chris Penrose, global vice president of business development for telco at NVIDIA, said the shift to real time AI native applications is driving demand for distributed infrastructure that can deliver predictable low latency at scale. Spectrum's fiber network and Edge Compute Infrastructure extends the power of the NVIDIA AI Grid to deliver performance where it is needed most.