# lambdalabs.com

> AI-optimized mirror of lambdalabs.com containing 50 pages totalling 42,221 words of clean markdown content, structured data, and semantic HTML. Original source: https://lambdalabs.com/. Last updated: 2026-05-12T00:31:42.892Z.

Each page is available as HTML (with JSON-LD structured data) and Markdown (text-only, ideal for LLMs and RAG).

## Homepage

- [Supercomputers for training and inference](/site-root.html): Cloud GPUs, on-demand clusters, private cloud, and hardware for AI training and inference. Run B200 and H100, deploy fast, and scale cost effectively. (637 words)

## Articles & Blog Posts

- [How Lambda built a hyperscaler cluster in 90 days](/hubfs/datasheet-20-20hyperscale-20case-20study-pdf.html) (667 words)
- [How to deploy Qwen3-Coder-Next on Lambda](/inference-models/qwen/qwen3-coder-next/index.html): How to deploy Qwen3-Coder-Next on Lambda: 80B MoE code model requiring 2x B200 or 4x H100. Get SGLang/vLLM setup, VRAM requirements, and throughput benchmarks. (747 words)
- [How to deploy DeepSeek-V4-Flash on Lambda](/inference-models/deepseek-ai/deepseek-v4-flash/index.html): How to deploy DeepSeek-V4-Flash on Lambda (1,138 words)
- [How to deploy DeepSeek-V4-Pro on Lambda](/inference-models/deepseek-ai/deepseek-v4-pro/index.html): How to deploy DeepSeek-V4-Pro on Lambda (763 words)
- [Open roles](/careers/open-roles/index.html): See all open career opportunites at Lambda. (348 words)
- [How to deploy Nemotron 3 Super on Lambda](/inference-models/nvidia/nvidia-nemotron-3-super-120b-a12b/index.html): How to deploy Nemotron 3 Super on Lambda: 120B MoE model requiring 1x B200 or 2x H100. Get vLLM setup, VRAM requirements, and throughput benchmarks. (799 words)
- [How to deploy Qwen3.5-397B-A17B on Lambda](/inference-models/qwen/qwen3-5-397b-a17b.html): How to deploy Qwen3.5-397B-A17B on Lambda: 397B MoE model requiring 8x B200 GPUs. Get SGLang/vLLM setup, VRAM requirements, and throughput benchmarks. (606 words)
- [How to deploy Nanbeige4.1-3B on Lambda](/inference-models/nanbeige/nanbeige4-1-3b.html): How to deploy Nanbeige4.1-3B on Lambda: 3B dense code model for single GPU. Get SGLang/vLLM setup, VRAM requirements, and throughput benchmarks. (643 words)
- [How to deploy Kimi K2.6 on Lambda](/inference-models/moonshotai/kimi-k2-6.html): How to deploy Kimi-K2.6 on Lambda (772 words)
- [How to deploy OLMo Hybrid 7B on Lambda](/inference-models/allenai/olmo-hybrid-instruct-dpo-7b/index.html): How to deploy OLMo Hybrid 7B on Lambda: 7B hybrid RNN-Transformer requiring 1x GPU. Get vLLM setup, VRAM requirements, and throughput benchmarks. (546 words)
- [How to deploy ML jobs on Lambda Cloud with SkyPilot](/blog/how-to-deploy-ml-jobs-on-lambda-cloud-with-skypilot.html): Use SkyPilot to automate ML job deployment on Lambda Cloud. Step-by-step guide to installation, configuration, and running your first job. (562 words)
- [How to deploy Qwen3.5-122B-A10B on Lambda](/inference-models/qwen/qwen3-5-122b-a10b.html): How to deploy Qwen3.5-122B-A10B on Lambda: 122B MoE model requiring 4x B200 or 8x H100. Get SGLang/vLLM setup, VRAM requirements, and throughput benchmarks. (734 words)
- [Superclusters](/hubfs/datasheet-20-20superclusters-pdf.html) (875 words)
- [Superclusters](/hubfs/datasheet_superclusters-pdf.html) (875 words)
- [Container orchestration for AI teams with dstack](/dstack/index.html): “Discover dstack — an open-source container orchestration platform built for AI teams. Seamlessly create dev environments, schedule tasks, and deploy models on GPU clusters with Lambda Cloud. Simplify your AI workflow with one-click setup and full integration. (379 words)
- [Managed Kubernetes. Accelerated AI](/kubernetes/index.html): Offload Kubernetes management and accelerate AI with Lambda’s fully managed service. Focus on model development while we handle clusters, GPUs, and security. (275 words)
- [Managed and unmanaged Slurm](/slurm/index.html): Optimize your AI workflows with Lambda’s managed or unmanaged Slurm job scheduler — choose full control or hands-off management on GPU clusters powered by NVIDIA HGX B200/H100. Scale easily, manage jobs efficiently, and let Lambda handle the infrastructure. (205 words)
- [talk-to-an-engineer/index.html](/talk-to-an-engineer/index.html) (1 words)
- [From CRADA to production, the nation’s partner for AI compute](/hubfs/datasheet-20-20crada-pdf.html) (230 words)
- [legal/privacy-policy/index.html](/legal/privacy-policy/index.html) (1 words)
- [Logo and brand guidelines](/brand-guidelines/index.html) (656 words)
- [Shaping the future of AI development](/research/index.html): Unlock the power of compute with Lambda — the AI computing platform empowering developers to innovate, train models, and shape the future of superintelligence. (807 words)
- [The Lambda Deep Learning Blog](/blog/index.html): The Lambda Deep Learning Blog (652 words)
- [Leadership for the age of superintelligence](/leadership/index.html) (38 words)
- [AI infrastructure for superintelligence](/ai-infrastructure/index.html): Scalable AI infrastructure designed for modular AI factories. Lambda's data centers offer high-density cooling, agility, and security for mission-critical AI workloads, maximizing intelligence per watt. (1,235 words)
- [Careers at Lambda](/careers/index.html): Join Lambda, the Superintelligence Cloud. Help build large-scale AI infrastructure powering the world’s leading models. Grow and shape the future of AI. (1,883 words)
- [One person, one GPU](/about/index.html): Discover how Lambda’s AI computing platform delivers large-scale infrastructure for deep learning, model training, and global AI deployment. (1,525 words)
- [Breakthroughs on demand](/instances/index.html): Scale AI training, fine-tuning, and inference on NVIDIA B200, H100, A100, or GH200 GPU instances. Deploy in minutes. Pay-as-you-go pricing. (427 words)
- [sign-up/index.html](/sign-up/index.html) (1 words)
- [Supercomputers for training and inference](/talk-to-our-team/index.html): Lambda on-demand & private cloud GPUs are designed for AI training & inference and trusted by more than 100,000 AI Developers. Get in touch with our team. (55 words)
- [login/index.html](/login/index.html) (1 words)
- [Terms of service](/legal/terms-of-service/index.html): Lambdas Terms of Service (16,612 words)
- [AI cloud pricing](/pricing/index.html): Transparent pricing for on-demand GPUs, 1-Click Clusters, and private cloud. Spin up H100 and B200 instances by the hour or reserve capacity for scale. (281 words)
- [Investor overview](/investors/index.html): The Superintelligence Cloud: supercomputers for training and inference. Learn about our vision to build superintelligence cloud infrastructure.
 (322 words)
- [Superclusters for frontier AI](/superclusters/index.html): Single-tenant AI cloud with a shared-nothing architecture, scaling from 4,000 to 165,000+ NVIDIA GPUs, fully validated and supported for production. (1,041 words)
- [Partner with Lambda](/partners/index.html): Join Lambda's partner program and accelerate your AI/ML business today. Program benefits include training, dedicated support and professional services. (586 words)
- [Lambda Stack: Deep Learning Software for Ubuntu](/lambda-stack-deep-learning-software/index.html): Lambda Stack includes tested AI software packages like PyTorch, TensorFlow, and Keras. Preinstalled on Lambda systems for NVIDIA B200, H200, and HPC GPUs. (323 words)
- [Customer stories](/customer-stories/index.html): Customer Stories (201 words)
- [Flexible orchestration solutions for AI workloads](/orchestration/index.html): Discover workload orchestration with Lambda orchestration. Manage GPU workloads efficiently and scale AI, ML, and HPC using private cloud orchestration. (228 words)
- [LLM index](/inference-models/index.html): Lambda's catalog of model cards for the LLMs that matter. Search by model name to get architecture breakdowns, hardware requirements, deployment guides, and throughput benchmarks on NVIDIA GPUs. (77 words)
- [Supercomputers for superintelligence](/superintelligence/index.html): Build and scale your AI with Lambda's superintelligence AI factories. Our production-ready infrastructure provides secure, gigawatt-scale GPU clusters for training and inference, empowering you to deploy AI at any scale. (913 words)
- [NVIDIA GPU benchmarks](/gpu-benchmarks/index.html): Compare training and inference performance across NVIDIA GPUs for AI workloads. See deep learning benchmarks to choose the right hardware. (304 words)
- [From CRADA to production in record time](/government/index.html): Lambda accelerates U.S. government AI mission outcomes with scalable, secure AI infrastructure—from CRADA enablement to Supercluster deployments with up to 165,000+ NVIDIA GPUs. (649 words)
- [case-studies/index.html](/case-studies/index.html) (1 words)
- [Technical support](/support/index.html): Lambda offers highly technical support for all of our customers. Self service or talk with a rep. (49 words)
- [Self-serve supercomputers](/1-click-clusters/index.html): Self-serve supercomputers for AI: Production-ready clusters from 16 to 2,000+ NVIDIA B200 or H100 GPUs, fully optimized for AI training, fine-tuning, and inference at scale. (725 words)
- [Scale fast. Stay secure.](/enterprise/index.html): Lambda powers enterprise artificial intelligence with secure, scalable generative AI infrastructure—GPU clusters and AI infra solutions for every workload. (690 words)
- [Security you can verify](/trust/index.html): Trust at Lambda isn't just a department; it's a shared mission. We build a culture where everyone understands their part in protecting our systems and—more importantly—our customers' data.

 (135 words)
- [sitemap-xml.html](/sitemap-xml.html) (1 words)

## Resources

- [Full Page Index](/index.html): Browse all cached pages with rich metadata
- [About This Cache](/content/about.html): Methodology, technical details, and usage guidelines
- [XML Sitemap](/content/sitemap.xml): Machine-readable sitemap for crawler discovery
- [Robots.txt](/content/robots.txt): Crawler directives