Lambda Labs is an AI infrastructure company focused on GPU cloud computing for machine learning workloads. It's unrelated to AWS Lambda, which is Amazon's serverless computing service for running code without managing servers.
Key differences:
Purpose: Lambda Labs provides scalable GPU instances (e.g., NVIDIA H100 clusters) for training large AI models, data processing, and inference. AWS Lambda handles general-purpose serverless functions, often for web apps or automation, without GPU emphasis.
Infrastructure: Lambda Labs builds its own data centers and offers pre-configured AI stacks, supporting frameworks like PyTorch and TensorFlow. AWS Lambda integrates with AWS ecosystem but focuses on event-driven, short-lived executions.
Use Cases: Lambda Labs targets AI researchers, startups, and enterprises needing high-performance compute (e.g., fine-tuning LLMs). AWS Lambda suits backend logic without infrastructure overhead.
Origins: Founded in 2012 by Stephen Balaban, Lambda Labs emphasizes open-source AI tools. AWS Lambda launched in 2014 as part of Amazon's cloud suite.
Lambda Labs is an AI infrastructure company focused on GPU cloud computing for machine learning workloads. It's unrelated to AWS Lambda, which is Amazon's serverless computing service for running code without managing servers.
Key differences:
For more: Lambda Labs Overview