Lambda provides NVIDIA GPU-dense infrastructure for AI research and development teams, offering both on-demand public cloud access and dedicated private cloud deployments . The company is pioneering 'AI factories'—next-generation data centers purpose-built for GPU workloads—with Lambda's facilities operating at 130 to 240 kW per rack compared to traditional data centers at 2 to 15 kW per rack . This reimagining of data center infrastructure supports the massive power and cooling requirements of modern AI training . Lambda's public cloud offers on-demand GPU leasing from hours to a year, providing immediate access to the latest NVIDIA GPU technology . For larger needs, Lambda's private cloud offers dedicated AI factory contracts ranging from about 64 to tens of thousands of GPUs, enabling enterprises to train models at scale without managing the complexities of high-performance compute orchestration . The platform includes managed Kubernetes with native GPU and InfiniBand support, S3-compatible storage, and enterprise-grade observability . Lambda's multi-cloud architecture enables seamless operations across AWS, Google Cloud, Azure, and OCI, with zero data-transfer fees for moving data in and out of Lambda . The platform is SOC 2 Type II certified, features SSO login, and offers industry-leading SLAs with 24/7 infrastructure monitoring . Lambda's long-term vision is 'one GPU per person'—democratizing compute as a force multiplier for human progress, advancing innovation in healthcare, education, and beyond . Customers include ML researchers, enterprises, and organizations requiring dedicated, high-performance GPU infrastructure .