The Superintelligence Cloud
Business Profile
Core Value Proposition
Lambda The Superintelligence Cloud provides gigawatt-scale AI GPU cloud infrastructure for AI training and inference, with on-demand and private cloud options.
Target Customer
AI teams, enterprises, universities, and research institutions seeking scalable, high-performance GPU infrastructure for training, fine-tuning, and production inference
Key Differentiator
Gigawatt-scale GPU capacity with both on-demand and large-scale private cloud options, integrated Lambda Stack and 1-Click Clusters, high-speed InfiniBand networking, and a close collaboration with NVIDIA (HGX/BX/GB GPU families) for enterprise AI workloads
Implementation Timeline
Users can spin up GPUs immediately via on-demand or 1-Click Clusters; private cloud options require longer-term planning but are described as production-grade with multi-thousand GPU capacities
Pain Points
- 1Need for scalable, high-performance GPU infrastructure to train and infer large AI models
- 2Difficulty quickly provisioning and scaling multi-node GPU clusters for experimentation and production
- 3Requirement for secure, enterprise-grade infrastructure with strong uptime and compliance
Key Features
- 1On-demand GPU clusters for multi-node training and fine-tuning
- 2Private cloud large-scale GPU clusters with InfiniBand networking (Quantum-2 InfiniBand, up to 400 Gbps fabric)
- 31-Click Clusters for instant access to 16–1,536 interconnected NVIDIA GPUs
- 4On-demand GPU instances billed by the minute; H100 instances starting at $2.49/hr; B200/B300 and GB series GPUs supported
- 5Lambda Stack: one-line installation and managed upgrades for PyTorch, TensorFlow, CUDA, CuDNN, and NVIDIA drivers
- 6Managed orchestration (Kubernetes) to scale AI workloads; Inference Endpoints for model deployment
Target Customer Industries
Decision Makers
- 1VP of Data Center Infrastructure
- 2AI Engineer
Client Results
- 1NVIDIA GB300 NVL72 AI Factories delivering up to 50x higher reasoning model inference output compared to NVIDIA Hopper
- 2NVIDIA HGX B300 delivers up to 11x higher inference performance versus previous generation
- 3Lambda Stack used by more than 50k ML teams
- 4Lambda has empowered over 200,000 AI engineers to build and deploy AI solutions
- 5SOC 2 Type II compliance and 99.999% uptime SLAs for enterprise-grade reliability
Competitive Advantages
- 1SOC 2 Type II compliance and 99.999% uptime SLAs
- 2Ultra-fast InfiniBand networking (up to 400 Gbps) for low-latency, high-throughput multi-node AI training
- 3Partnerships and alignment with NVIDIA for enterprise AI infrastructure
- 4Flexible access from on-demand resources to large private reservations
- 5Kubernetes-based orchestration and a developer-friendly Lambda Stack for rapid model development
Key Benefits
Additional Product Information
Product Description
Lambda’s The Superintelligence Cloud is a gigawatt-scale AI GPU cloud offering on-demand and reserved private clusters, featuring NVIDIA HGX B200/B300, GB200/GB300, and H100 GPUs, Lambda Stack for easy software management, 1-Click Clusters, private cloud GPUs, and high-performance InfiniBand networking for AI training and inference.
Target Market
Enterprises, AI teams in research institutions and universities, and large-scale AI developers requiring production-grade, scalable GPU infrastructure
Unique Value Proposition
Large-scale, flexible GPU infrastructure combining on-demand and private cloud deployments, integrated software stack (Lambda Stack), rapid provisioning (1-Click Clusters), and close NVIDIA collaboration for enterprise AI—with high-performance networking and strong security posture
Technical Requirements
NVIDIA GPUs (HGX B200/B300, GB200/GB300, H100), InfiniBand networking (Quantum-2, up to 400 Gbps), Lambda Stack for PyTorch/TensorFlow/CUDA/CuDNN/Drivers, Kubernetes for orchestration, support for open-source AI frameworks and inference endpoints
Pricing Model
On-demand GPU instances billed by the minute/hour; specific on-demand examples include $2.99/hour for deploying NVIDIA B200 multi-node clusters and $2.49/hour for NVIDIA H100 instances; Private Cloud involves 3+ year contracts with large-scale GPU allocations (1k–64k GPUs) and Infiniband connectivity
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