Lambda provides on-demand NVIDIA GPU instances and clusters specifically designed for AI training and inference, utilizing advanced hardware like the H100 and GH200 Tensor Core GPUs. This infrastructure enables machine learning teams to efficiently scale their computational resources without long-term commitments, addressing the need for high-performance computing in AI development.
Funding
Funding not disclosed
+3Founders
Product
Problem
Machine learning teams require significant computational resources to train and deploy AI models, but procuring and managing high-performance GPU infrastructure can be expensive and time-consuming. Traditional cloud providers often lack specialized hardware configurations and optimized software stacks tailored for AI workloads.
Solution
Lambda provides on-demand NVIDIA GPU instances and clusters designed specifically for AI training and inference. The platform offers access to advanced hardware, including H100, H200, and GH200 Tensor Core GPUs, enabling machine learning teams to efficiently scale their computational resources without long-term contracts. Lambda focuses on providing optimized infrastructure and software to accelerate AI development workflows.
Target Audience
The primary audience consists of machine learning engineers, data scientists, and AI researchers who require high-performance GPU resources for training and deploying AI models.
Features
- On-demand GPU instances billed hourly, with NVIDIA H100 instances starting at $2.49/hr
- 1-Click Clusters featuring NVIDIA H100 Tensor Core GPUs with NVIDIA Quantum-2 InfiniBand
- Private cloud options for reserving thousands of NVIDIA H100s, H200s, GH200s, and GB200s with Quantum-2 InfiniBand Networking
- Lambda Stack, a one-line installation and managed upgrade path for PyTorch, TensorFlow, NVIDIA CUDA, NVIDIA CuDNN, and NVIDIA Drivers
- Support for the NVIDIA GH200 Grace Hopper Superchip with 576 GB of coherent memory
- Access to NVIDIA H200 Tensor Core GPUs with 141GB of HBM3e running at 4.8TB/s