Lepton (NVIDIA DGX Cloud Lepton) is a unified AI platform that aggregates a global network of GPU resources from NVIDIA Cloud Partners, cloud providers, and on‑premise environments into a single developer interface. It abstracts infrastructure details, letting AI developers prototype, train, and deploy models with consistent APIs, unified billing, and built‑in monitoring across multi‑cloud deployments.
Funding
$11M 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.
Founders
Product
Problem
AI developers and data‑science teams often must juggle multiple cloud providers, GPU marketplaces, and on‑premise resources to train and serve models, leading to fragmented workflows, high operational overhead, and difficulty scaling across regions.
Solution
Lepton (NVIDIA DGX Cloud Lepton) offers a unified AI platform that aggregates a global network of NVIDIA Cloud Partners, GPU marketplaces, and local environments into a single developer‑friendly interface. The service abstracts the underlying infrastructure, allowing users to prototype, train, and deploy models without re‑architecting for each compute source. Integrated tools provide instant access to NVIDIA’s accelerated APIs, serverless endpoints, and pre‑built NIM™ microservices, streamlining the path from development to production. Users can scale workloads across any supported cloud provider with a consistent workflow and unified billing. The platform also includes built‑in discovery and orchestration features that simplify resource selection and workload placement globally.
Target Audience
Primary customers are AI developers, model builders, and data‑science teams that require flexible, high‑performance GPU compute across multi‑cloud environments.
Features
- Consolidated catalog of GPU resources from multiple cloud providers and NVIDIA Cloud Partners, presented through a single dashboard
- Integrated development environment with instant access to NVIDIA accelerated libraries, serverless inference endpoints, and NIM™ microservices
- Automated provisioning and orchestration that abstracts hardware details, enabling seamless scaling from prototype to production
- Multi‑cloud deployment support with consistent APIs and unified billing across regions and providers
- Built‑in workload monitoring, cost analytics, and performance optimization tools
- Compatibility with existing AI frameworks and pipelines, allowing easy migration of code and models