Lambda Labs

Lambda Labs specializes in the latest NVIDIA hardware, offering instances equipped with H100, A100 (40GB and 80GB), A10, and RTX 6000 Ada GPUs. Our infrastructure is purpose-built for deep learning, ensuring you have access to the high-memory interconnects and compute power required for modern LLMs.

Lambda Stack is a pre-installed software suite included with every instance that manages drivers, CUDA, cuDNN, and frameworks like PyTorch and TensorFlow. It eliminates 'driver hell' by ensuring all versions are compatible and updated, allowing you to start training models within minutes of launching an instance.

Absolutely. Lambda offers 1-click clusters and 1-node to multi-node scaling options. For massive workloads, our 1-Click Clusters utilize NVIDIA Quantum-2 InfiniBand networking to provide the high-bandwidth, low-latency communication necessary for efficient distributed training across hundreds of GPUs.

On-demand instances are typically provisioned and ready for SSH access in under two minutes. Because the Lambda Stack is pre-installed, you don't need to spend hours configuring drivers; you can simply clone your repository and begin your training session immediately after the instance boots.

Yes, Lambda Cloud offers persistent storage volumes that can be attached to your instances. This allows you to keep your datasets, checkpoints, and code safe even if you terminate your compute instance, ensuring you can pick up exactly where you left off in a future session.

Yes, Lambda provides a robust REST API that allows you to programmatically launch, terminate, and monitor GPU instances. This is perfect for integrating GPU compute into your existing CI/CD pipelines or building custom orchestration layers for automated machine learning workflows.

Every Lambda Cloud instance supports standard SSH access for terminal-based work and secure tunneling. Additionally, we provide a built-in JupyterLab interface that can be launched directly from the cloud dashboard, making it easy to interact with your data and code in a browser-based IDE.

Lambda Labs offers transparent, per-second billing for on-demand GPU instances with no hidden fees or long-term commitments. You only pay for the time your instance is running, and prices are significantly lower than major legacy cloud providers, making it ideal for both short-term experiments and long-term training.

Yes, for large-scale training requirements, Lambda provides 1-year and 3-year reserved capacity options for GPU clusters. These reservations guarantee availability of high-demand hardware like H100s and A100s while providing a substantial discount compared to standard on-demand hourly rates.

We prioritize security by providing private virtual machines, encrypted storage options, and secure data centers. Access is managed via SSH keys, and our infrastructure is designed to isolate tenant workloads, ensuring that your proprietary models and sensitive datasets remain private and protected.

Lambda operates out of high-tier data centers located in the United States that adhere to strict physical and digital security protocols. We are committed to compliance and maintain SOC 2 Type II certification to ensure our operational processes meet the rigorous standards required by enterprise customers.

Lambda provides comprehensive technical support through our dedicated help desk and extensive documentation library. For enterprise cluster customers, we offer enhanced support tiers that include direct access to our engineering team to assist with complex networking, hardware, or software stack optimizations.