Spectrum uses the NVIDIA AI Grid reference design on Spectrum’s fiber broadband network to deploy remote graphics processing units (GPUs) at the network edge to support latency-sensitive applications and compute-intensive use cases.
Spectrum’s Edge Computing Infrastructure (ECI) delivers hundreds of megawatts of power from more than 1,000 edge data centers and hubs to less than 10 milliseconds from 500 million devices in homes and businesses.
Spectrum demonstrates the use of enterprise-grade, low-latency, remote NVIDIA AI infrastructure built on NVIDIA RTX6000 PRO™ Blackwell Server Edition technology and a distributed AI grid. This solution enables animation artists to render blockbuster-level CGI using GPU computing resources located near the edge of Spectrum’s fiber-powered broadband network. Spectrum’s ECI’s proximity to the studio, combined with its 100 Gbps low-latency fiber network, extends the power of the NVIDIA AI Grid to remote workstations.
Creating a movie means rendering hundreds of thousands of images or “frames” and stitching them together to create an entire story. Developing each frame requires a huge amount of processing power. Coupled with the fact that centralized cloud environments can introduce delays that impact time-sensitive graphics processing and AI workloads, this can be a difficult technical problem to solve. By using NVIDIA RTX PRO 6000 Blackwell GPUs at the edge of Spectrum’s network, customers gain faster and more reliable access to NVIDIA AI infrastructure, enabling CGI artists to create large-scale visual stories more efficiently.
In this deployment, Spectrum leverages NVIDIA’s AI Grid reference design to provide operators with an integrated hardware and software platform to build, deploy, and manage GPUs and AI across distributed sites. The collaboration leverages Spectrum’s fiber broadband network and ECI, with the ability to scale to hundreds of MW of power from more than 1,000 edge data centers and hubs located less than 10 milliseconds, and in some cases less than 5 milliseconds, of the 500 million devices in homes and businesses connected to Spectrum’s network. New GPU and AI-native apps must run with predictable latencies, support high concurrency, and achieve the highest cost per token at scale. This initial deployment introduces an extremely low-latency application with a unique distributed edge GPU solution.
As more industries rely on real-time, GPU-enabled applications, connectivity companies can play a key role in supporting distributed intelligence and delivering new capabilities to businesses and customers across the country.
Rich DiGeronimo, President of Spectrum Products and Technology
Spectrum is supporting the next wave of enterprise workloads by providing connectivity and infrastructure for real-time applications. Our advantage is a footprint with over 1 million miles of infrastructure, delivering giga-plus speeds to tens of millions of residential, business, and enterprise customers. We have the scale to deliver the speed, low latency, and reliability needed for higher-performance GPU and AI applications. Our work with NVIDIA shows how connectivity companies can bring real-time graphics rendering performance closer to where it’s needed, not just in the entertainment industry, but in every industry.
Chris Penrose, Global VP – Business Development – Telco, NVIDIA
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 computing infrastructure expands the power of the NVIDIA AI Grid to deliver performance where it’s needed most, right where movies are made.
