Superclusters for frontier AI
Single-tenant, shared-nothing AI cloud from 4,000 to 165,000+ NVIDIA GPUs, purpose-built and production-ready for large-scale training and inference.
Do more with every watt
Access more AI compute per watt with liquid-cooled, high-density clusters. Each single-tenant deployment provides full observability and expert co-engineering for maximum performance and production-grade reliability.
Purpose-built AI cloud
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Enterprise-grade security
Physically isolated, single-tenant clusters with encrypted storage, secure enclosures, and granular access controls
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Customized for your workloads
Clusters co-engineered to fit your AI workload for a wide range of models, frameworks, and performance requirements
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High reliability
Pre-handoff burn-in and validation, plus built-in infrastructure redundancy for high availability
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Observability
Monitoring for power, cooling, networking, storage, and GPU compute using Lambda’s observability stack (Prometheus, OpenTelemetry, and Grafana) or your own system
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Expert support, 24/7
Dedicated specialists, real-time optimization, and clear escalation paths for mission-critical systems
High-performance next-gen NVIDIA GPUs
NVIDIA VR200 NVL72
Rack-scale systems optimized for agentic AI.
- 72× Rubin GPUs / 36× Vera CPUs per rack
- ~75 TB total memory (20.7 TB HBM4 + 54 TB LPDDR5X) / 260 TB/s NVLink bandwidth
NVIDIA GB300 NVL72
Rack-scale systems optimized for AI reasoning.
- 72× Blackwell Ultra GPUs / 36× Grace CPUs per rack
- 37 TB fast memory / 130 TB/s NVLink Switch bandwidth
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NVIDIA HGX B300
Peak performance per watt for the largest training runs.
- 72 PF FP8 training / 144 PF FP4 inference
- 2.1 TB HBM3e memory / NVIDIA ConnectX-8 SuperNICs
Maximum network fabric performance
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NVLink domain
Ultra-fast GPU-to-GPU within node/rack. Low latency, high throughput, and no PCIe bottlenecks for model-parallel training and collectives.
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Non-blocking InfiniBand
Lossless, low-latency fabric with RDMA and adaptive routing. SHARP for predictable, large-scale distributed training.
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RoCE (RDMA over Converged Ethernet)
RDMA performance on Ethernet with kernel bypass, PFC/ECN, and spine–superspine designs to extend AI networking across hybrid and multi-cloud with InfiniBand-class behavior.
Storage optimized for cost and speed
Our tiered storage architecture integrates HBM, DDR, NVMe, and data lakes to deliver high throughput and low latency for AI workloads.
Fully managed AI infrastructure
Lambda’s managed services deliver production-grade orchestration and cluster ops for AI and HPC.
Managed Kubernetes
Bare-metal performance with proximity-aware scheduling, auto node recovery, and continuous monitoring. We manage the control plane and hardware; you run container-native workloads at scale.
Managed Slurm
SLA-backed job scheduling for large AI and HPC clusters—control plane deployment, updates, monitoring, and efficient GPU utilization without the operational overhead.
Build with the best
Lambda AI factories are engineered in partnership with NVIDIA, Supermicro, and Dell Technologies.
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