
Lepton AI
Meet the New AI Cloud

Description
Lepton AI provides a comprehensive AI cloud platform engineered for developers and enterprises seeking to build, deploy, and scale artificial intelligence applications. It offers robust solutions for AI model inference with flexible engine options and auto-scaling, large-scale model training with collaborative resource sharing, and fully customizable development environments known as DevPods. The platform also includes capabilities for managing dedicated compute resources or integrating users' own accounts, streamlining the entire AI workflow from development to production.
Emphasizing high performance and reliability, Lepton AI delivers a cloud-native experience with optimized GPU infrastructure. Key benefits include significantly faster inference and training speeds, supported by its proprietary Lepton LLM engine and DistriFusion for image generation. The platform is designed to be enterprise-ready, offering high availability, efficient compute utilization through smart scheduling, and compliance with standards like SOC2 and HIPAA, enabling users to build and scale demanding AI applications with confidence.
Key Features
- AI Inference: Deploy AI models with flexible engine options, auto-scaling capabilities, and enterprise-grade reliability.
- DevPod: Launch fully customizable development environments with easy remote access and project growth tools.
- AI Training: Run large-scale training jobs collaboratively, share resources, and leverage GPUs together via a queueing system.
- Compute Management: Manage dedicated computation resources or bring your own cloud account.
- Lepton LLM Engine: High-speed LLM serving with dynamic batching, quantization, and speculative decoding for various open-source architectures.
- Photon: Open-source Python library for building and deploying machine learning model services (BYOM solution).
- SDFarm: Scalable image generation solution, supporting SD Web UI for development and productization with thousands of models.
- High Availability: Ensures 99.9% uptime with comprehensive health checks and automatic repairs.
- Efficient Compute: Delivers up to 5x performance boost with smart scheduling, accelerated compute, and optimized infrastructure.
- Enterprise Ready: SOC2 and HIPAA compliant, offering RBAC, quota management, and audit logs.
- DistriFusion Engine: Achieves 6x+ faster high-resolution image generation through a distributed engine.
- Accelerated Serverless Storage: Provides 1PB of storage for fast distributed training.
Use Cases
- Deploying and scaling AI models for inference.
- Developing AI applications in isolated, customizable cloud environments.
- Training large-scale machine learning models efficiently.
- Serving large language models (LLMs) with low latency and high throughput.
- Generating high-resolution images at scale using multiple models and LoRAs.
- Building and managing enterprise-grade AI infrastructure and applications.
Frequently Asked Questions
How are compute usages billed?
Compute usage is paid exclusively for actual compute time, billed by the minute.
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