Lambda
Lambda is a supercomputing cloud for AI teams, providing single-tenant superclusters, 1-Click GPU clusters, and on-demand instances. Built for training and inference at scale with NVIDIA GB300 NVL72 and HGX B200/H200 systems, InfiniBand networking, and SOC 2 Type II controls.
Overview
Start with an instance to validate code and data paths, expand to 1‑Click Clusters for distributed experiments, then move sustained workloads to dedicated superclusters. Lambda handles provisioning, networking, and reliability, while your team controls models, datasets, scheduling, and evaluation loops.
Architecture and capabilities
Lambda fits AI labs, product engineering teams, research groups, and regulated enterprises that need predictable, private compute. It supports workloads such as pretraining and post-training alignment, retrieval-augmented inference, large-batch embedding jobs, and high-availability serving. Startups accelerate iteration on instances, then standardize on 1‑Click Clusters as teams grow. Enterprises and governments favor single-tenant superclusters to meet compliance, performance, and data-residency constraints while retaining control over networking and access policies.
- Provision single-tenant superclusters with NVIDIA GB300 NVL72 and Quantum‑2 InfiniBand.
- Launch production-ready HGX B200 or H100 clusters optimized for distributed training.
- Spin up instances in minutes to test pipelines and benchmark model changes.
- Run on isolated, caged infrastructure with SOC 2 Type II compliance.
- Scale efficiently with managed orchestration, observability, and expert co‑engineering support.
Why teams choose Lambda
Practitioner perspective
Sign up and launch an instance from the console to benchmark models and pipelines, or contact the team to size a 1‑Click Cluster or supercluster. Choose images with common deep learning frameworks via Lambda Stack, connect storage and networks, and configure access controls. For production deployments, work with Lambda engineers to set up single-tenant, caged clusters with private connectivity and change-management aligned to SOC 2 Type II practices. Documentation and the Trust Portal guide deployment, security reviews, and ongoing operations.
Dedicated, single-tenant clusters removed noisy neighbors and let us push massive runs with stable, repeatable throughput.
Onboarding and deployment
Lambda differentiates on single-tenant design, rack-scale performance, and pragmatic operations. Teams can progress from minutes-to-launch instances to managed clusters without rewriting tooling, then consolidate on dedicated superclusters for steady-state programs. With modern NVIDIA platforms, Quantum‑2 fabrics, and compliance-first controls, Lambda provides a clear, low-friction path to sustained AI velocity.
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Lambda
Lambda builds the Superintelligence Cloud—GPU supercomputers, superclusters, and managed orchestration for training and inference at scale. The company focuses on predictable performance, robust security, and practical operations for enterprises, startups, governments, and research labs pursuing ambitious AI programs.
Lambda is a supercomputing cloud built for teams training and serving advanced AI models. It offers three paths that map to real workloads: on-demand GPU instances for fast iteration, production-ready 1-Click Clusters for distributed training, and single-tenant superclusters for frontier-scale programs. Hardware options include NVIDIA GB300 NVL72 rack-scale systems and HGX B200, H200, and H100 platforms, connected by NVIDIA Quantum‑2 InfiniBand for low-latency, high-throughput communication. Security and privacy center on a shared-nothing, single-tenant design with caged deployments and SOC 2 Type II controls. Orchestration and expert support reduce operational overhead so engineering teams can spend time on data, evaluation, and scaling rather than procurement, wiring, and maintenance.
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