New co-packaged optics networking from NVIDIA delivers 3.5x higher efficiency and 10x resiliency for large-scale GPU clusters.
Lambda, the Superintelligence Cloud, today announced it is among the first AI infrastructure providers to integrate NVIDIA's silicon photonics–based networking.
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New co-packaged optics networking from NVIDIA delivers 3.5x higher efficiency and 10x resiliency for large-scale GPU clusters.
The shift to co-packaged optics addresses a critical bottleneck in AI infrastructure. As AI models now train on hundreds of thousands of GPUs, and beyond, the network connecting them has become as important as the GPUs themselves. Traditional networking approaches are not keeping pace with this scale.
"NVIDIA Quantum‑X Photonics is the foundation for high-performance, resilient AI networks. It delivers superior power efficiency, improved signal integrity, and enables AI applications to run seamlessly in the world’s largest datacenters,” said Ken Patchett, VP of DC Infrastructure, at Lambda. “By integrating optical components directly next to the network switches, we believe our customers can deploy AI infrastructure faster while significantly reducing operational costs – essential as we continue to scale to support frontier AI workloads."
NVIDIA reports that NVIDIA Photonics delivers 3.5x better power efficiency, 5x longer sustained application runtime, and 10x greater resiliency than traditional pluggable transceivers. Co-packaged optics can provide increased compute per watt and enhanced network reliability, enabling faster model training and inference.
Built for the era of real-time AI, NVIDIA Photonics networking features a simplified design, resulting in fewer components to install and maintain. Lambda continues to provide scalable AI infrastructure, helping enterprises, research labs, and startups build multi-site, large-scale GPU AI factories.
“AI factories are a fundamentally new class of infrastructure – defined by their network architecture and purpose-built to generate intelligence at massive scale,” said Gilad Shainer, senior vice president of networking at NVIDIA. “By integrating silicon photonics directly into switches, NVIDIA Quantum-X silicon photonics networking switches enable the kind of scalable network fabric that makes massive-GPU AI factories possible.”
This builds on Lambda's cooperation with NVIDIA. Lambda recently achieved NVIDIA Exemplar Cloud status, validating its ability to deliver consistent performance for large-scale training workloads on NVIDIA Hopper GPUs. Over the past decade, Lambda has earned six NVIDIA awards, affirming its position as a trusted collaborator in NVIDIA’s ecosystem.
About Lambda
Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers.
Founded in 2012 by machine learning engineers who published at NeurIPS and ICCV, Lambda builds supercomputers for AI training and inference.
Our customers range from AI researchers to enterprises and hyperscalers.
Lambda’s mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.
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