Scale-Up
No reviews yetSkyHammer™ is designed to deliver deterministic, low-latency scale-up networking for synchronized AI workloads, reducing communication bottlenecks across accelerators, memory, and storage to enable large-scale training and inference.
Inference AccelerationTraining InfrastructureAI Compute Orchestration
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Features
Deliver deterministic, low-latency scale-up networking for AI workloads
Reduce communication bottlenecks across accelerators, memory, and storage
Enable large-scale AI training and inference with predictable performance
Support heterogeneous AI infrastructure with evolving standards
Connect accelerators, memory, and storage into a flexible rack-scale fabric
Improve bandwidth at rack scale for synchronized AI workloads
Support high-density AI systems with hardware-level efficiency
Deploy and serve large-scale AI models faster and more efficiently
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