.svg){kind=icon}
AI workloads have outpaced the infrastructure built to support them. General-purpose networks weren't designed for the speed, scale, and complexity of modern AI. It’s time for a network designed for the future.
Lorem ipsum dolor ist amet
Lorem ipsum dolor ist amet
AI workloads have outpaced the infrastructure built to support them. General-purpose networks weren't designed for the speed, scale, and complexity of modern AI. It’s time for a network designed for the future.
Lorem ipsum dolor ist amet
Lorem ipsum dolor ist amet
New Network.
Open Architecture
Build AI clusters on open standards, with the flexibility to support heterogeneous compute and adapt across evolving infrastructure requirements.
Purpose built economics
Designed from the ground up for AI workloads, with fabrics that scale AI infrastructure while reducing network bottlenecks and improving efficiency.
Operational Scale
A full-stack platform spanning silicon, systems, and software, built to scale AI fabric deployment and operations from single racks to large, distributed clusters.
The Full Stack for AI Networking
Purpose-built for the demands of modern AI infrastructure, from rack-scale training clusters to cloud-scale deployments.
Scale-Up: SkyHammer™
Rack-Scale Performance. Open by Design.
SkyHammer is designed to deliver deterministic, low-latency scale-up networking for synchronized AI workloads. Built from the ASIC up, it reduces communication bottlenecks across accelerators, memory, and storage — enabling large-scale training and inference to run faster, more efficiently, and with more predictable performance.
Scale-Out:
Open Ethernet Fabrics
Upscale AI delivers open, interoperable Ethernet systems built on NVIDIA Spectrum-X switch silicon and a SONiC-based network operating system. Designed for heterogeneous AI clusters, these systems connect accelerators, memory, and storage into a high-performance fabric for distributed training and large-scale inference.
Built with the teams
shaping open networking
Purpose-built for the demands of modern AI infrastructure, from rack-scale training clusters to cloud-scale deployments.
.svg)
.svg)
“AI networking is on track to become a $100B annual market by the end of the decade,” said Alan Weckel, Co-Founder and Technology Analyst at 650 Group. “Upscale AI is entering at exactly the right moment with open, high-performance solutions built to scale.”
Alan Weckel
Co-founder
News, Insights, and
Industry Perspectives
Key Announcements
