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Lambda

AI Infrastructure & GPU Cloud / Supercomputing & Data Centers / Machine Learning Platforms / High-Performance Computing (HPC) San Francisco, California / United States / Global Remote

About Lambda

Lambda (operating under lambda.ai, formerly Lambda Labs) is the premier, enterprise-grade AI computing platform, modular AI factory pioneer, and GPU infrastructure powerhouse engineered to operate as the definitive, high-velocity compute backbone for the world’s most advanced AI research labs, engineering teams, and superintelligence initiatives. Founded in 2012 by ML engineers, the company completely eliminates the severe systemic friction of modern AI training—where high-performance model development is often throttled by limited GPU accessibility, complex cluster orchestration, and inefficient interconnect bottlenecks—by deploying an advanced, purpose-built AI factory matrix. Moving far beyond traditional, general-purpose cloud providers, Lambda natively unifies high-density, liquid-cooled, and InfiniBand-interconnected GPU compute infrastructure with a curated, AI-optimized software stack (Lambda Stack). The ecosystem offers a tiered deployment model: on-demand GPU instances for rapid prototyping, \"1-Click Clusters\" for production-ready model training (16 to 2,000+ NVIDIA B200 or H100 GPUs), and bespoke \"Superclusters\" (4,000 to 165,000+ GPUs) designed for foundation model training at gigawatt scale. Trusted by 97% of top U.S. research universities and a massive global footprint of enterprise AI developers, Lambda’s infrastructure is explicitly tuned for PyTorch, TensorFlow, and JAX workloads. Backed by $480M+ in Series D funding and recognized as a key NVIDIA partner for healthcare and supercomputing, the organization maintains a strict \"AI-only\" engineering focus, providing 24/7 technical support specifically centered on resolving complex ML cluster performance, networking, and throughput issues. What sets Lambda apart is its uncompromising dedication to replacing complex, fragmented infrastructure management with absolute compute accessibility and performance predictability; by bridging the gap between mission-critical hardware engineering and the rapid-fire requirements of AI reasoning and generation, the enterprise remains the definitive, category-defining cornerstone of modern algorithmic supercomputing and worldwide AI transformation.

Founded In2012
Company Size501 - 1000 Employees
IndustryAI Infrastructure & GPU Cloud / Supercomputing & Data Centers / Machine Learning Platforms / High-Performance Computing (HPC)
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