High-speed 100G–400G switching fabrics engineered for ultra-low latency and AI-scale networking. Optimized for distributed LLM training and multi-node Generative AI clusters.
When training Foundation Models across hundreds of nodes, network bandwidth becomes the bottleneck. QUANTUM switches deliver the throughput needed for distributed Transformer training and multi-node LLM workloads.
Enable data-parallel and model-parallel training across hundreds of nodes. Optimized for Transformer architectures and Large Language Model development.
Sub-microsecond latency for real-time AI inference and RAG pipeline acceleration. Critical for Generative AI workloads.
Connect NEURAL 3000 clusters with spine-leaf architecture optimized for Foundation Model training and distributed AI workloads.
100G switch for mid-scale LLM training clusters and Generative AI workloads. Perfect for RAG pipeline infrastructure.
400G spine switch for hyperscale Foundation Model training and multi-node AI clusters. Designed for enterprise Generative AI factories.
Connect with our team to design the perfect network infrastructure for your distributed LLM training cluster.