Upscale AI offers SkyHammer
Product
SkyHammer is a rack-scale, low-latency scale-up fabric designed from the ASIC up for synchronized AI workloads.
- Currently Offered
SkyHammer is a rack-scale, low-latency scale-up fabric designed from the ASIC up for synchronized AI workloads.
SkyHammer is a clean-slate AI networking architecture built across chip, system, and rack to overcome the limits of scale-up AI networking. It fuses CPUs, GPUs, and memory into a unified compute domain using native load/store access at nanosecond latency, making large clusters operate as one coherent unit. The fabric targets trillion-parameter models and workloads that need deterministic latency, extreme bandwidth, and predictable performance at scale.
SkyHammer supports open interconnect standards including ESUN, UEC, and UALink. Products based on the architecture are planned for release in 2026.
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