Lambda Labs

Lambda specializes in GPU infrastructure optimized for machine learning, making it a strong choice for AI developers and research labs. Their services come with Lambda Stack—a pre-configured environment that includes commonly used deep learning frameworks, CUDA, and NVIDIA drivers.

The documentation outlines how to spin up instances quickly, already bundled with PyTorch, TensorFlow, and other libraries. This pre-integration of drivers and frameworks reduces setup time substantially. Lambda also supports advanced GPU models like RTX 8000, V100, and A100, which are well-suited for large-scale training tasks such as natural language processing or computer vision. Whether you’re running experiments or deploying production models, Lambda’s platform is designed to handle resource scaling through an API interface. The documentation also covers distributed training with NCCL, making it easier to spread workloads across multiple GPUs or nodes. This robust ecosystem is beneficial for teams that need reliable, high-end compute.