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.

Everything AI Scale Demands. Nothing It Doesn't.
SkyHammer gives AI infrastructure teams the performance they need and the freedom to build without limits.
Open
Designed for heterogeneous AI infrastructure, with support for evolving standards and diverse accelerator environments. Connects accelerators, memory, and storage into a flexible rack-scale fabric.
Performance
Purpose-built from the ASIC up for synchronized AI workloads. Delivers deterministic, low-latency scale-up networking that reduces bottlenecks and improves bandwidth at rack scale.
Operational Scale
Built for production rack-scale deployments. Supports high-density AI systems with the hardware-level efficiency and reliability required at scale.
Performance That Speaks for Itself
SkyHammer is engineered for the performance demands of large-scale AI training, built to keep thousands of accelerators in sync with the precision and consistency modern AI infrastructure requires.
News, Insights, and
Industry Perspectives
Key Announcements
Questions & answers






