High-speed Networking for Giga-Scale AI Factories
As distributed model training scales to span hundreds of thousands of GPUs, scale-out networks face unprecedented performance and efficiency demands. NVIDIA Spectrum-X Ethernet has been designed from the ground up to achieve predictable and stable network performance with high utilization and low latency. This paper presents the Spectrum-X multiplane architecture, which replaces hierarchical depth with topological parallelism, and introduces hardware-accelerated load balancing in NICs and switches as the key architectural approach to provide fast reaction to highly dynamic network conditions at the microsecond timescales that AI training workloads demand. We describe the motivation, desig...
| Authors | Sajy Khashab, Albert Gran Alcoz, Alon Gal et al. |
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| Primary category | cs.NI |
| Published | 20 May 2026 |
| Last updated at source | 20 May 2026 |
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