Lambda provides an on‑demand supercomputing platform that lets AI teams provision private, single‑tenant GPU clusters with the latest NVIDIA GB300, B200, and H200 accelerators via a web console or API. The service offers up to 64‑GPU nodes with NVLink and InfiniBand interconnects, SOC 2 Type II security, and pay‑as‑you‑go per‑GPU‑hour billing, enabling scalable training and inference for research labs and enterprise ML teams.
Funding
$275M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
JMFounders
Product
Problem
AI teams often face limited access to scalable, high‑performance GPU infrastructure, leading to long provisioning cycles, under‑utilized resources, and difficulty meeting the compute demands of large‑scale model training and inference. Existing on‑premise or generic cloud solutions can lack the latest NVIDIA hardware or the security guarantees required for mission‑critical workloads.
Solution
Lambda offers an on‑demand supercomputing platform that provisions private, single‑tenant GPU clusters equipped with the latest NVIDIA GB300 NVL72, B200, and H200 accelerators. Users can launch instances through a web console or API with a single click, enabling rapid scaling from a single node to multi‑node superclusters. The platform integrates high‑bandwidth NVLink and InfiniBand interconnects to sustain data‑parallel training at petaflop scale. All clusters are built with SOC 2 Type II compliance, encryption‑in‑transit, and role‑based access controls to meet enterprise security standards. Compute usage is metered per GPU‑hour, allowing teams to align costs directly with workload demand while avoiding upfront capital expenditure.
Target Audience
The primary customers are AI research labs, enterprise ML engineering teams, and startups developing large‑scale deep learning models that require secure, high‑throughput GPU compute for both training and inference.
Features
- 1‑Click Clusters™ for instant provisioning of up to 64‑GPU supernodes with automated networking and storage configuration
- Access to NVIDIA GB300 NVL72, B200, and H200 GPUs, delivering up to 2 PFLOPS of mixed‑precision performance per node
- Private, single‑tenant environments with SOC 2 Type II compliance, encrypted storage, and isolated VPC networking
- High‑speed NVLink and InfiniBand fabric providing up to 200 Gbps inter‑GPU bandwidth for distributed training
- RESTful API and CLI tools for programmatic instance lifecycle management and integration with CI/CD pipelines
- Pay‑as‑you‑go billing model with per‑GPU‑hour metering and optional reserved capacity discounts
- Integrated monitoring dashboard with real‑time utilization metrics, GPU health alerts, and cost analytics
- Support for popular ML frameworks (TensorFlow, PyTorch, JAX) and container orchestration via Docker and Kubernetes