Lepton AI

Introduction to Lepton AI

Lepton AI is a cloud-native platform designed to simplify the development, training, and deployment of AI models. It offers a fully managed environment that enables developers and businesses to scale AI applications efficiently without the complexities of infrastructure management. With support for various AI models and tools, Lepton AI caters to a wide range of use cases, from natural language processing to image generation.

Key Features of Lepton AI

• Cloud-Native Platform: A fully managed environment that handles the complexities of infrastructure, allowing developers to focus on building AI applications.
• Flexible Model Deployment: Supports deployment of models from Hugging Face, vLLM, and custom models, providing versatility in AI solutions.
• Photon BYOM Solution: An open-source library that facilitates building Pythonic machine learning model services with ease.
• High-Performance Inference: Leverages Lepton’s optimized engine for fast and scalable AI inference, supporting dynamic batching, quantization, and speculative decoding.
• Distributed Image Generation: Utilizes the DistriFusion engine to accelerate high-resolution image generation, supporting over 10,000 models and LoRAs concurrently.
• Enterprise-Grade Infrastructure: Ensures high availability, reliability, and compliance with standards like SOC2 and HIPAA, making it suitable for enterprise applications.

How to Use Lepton AI

Getting started with Lepton AI is straightforward:

1. Install the SDK: Begin by installing the Lepton AI Python package using pip:

   pip install -U leptonai

2. Create a Workspace: Set up a workspace through the Lepton AI dashboard to manage your projects and resources.
3. Deploy a Model: Use the command-line interface to deploy models. For example, to deploy a GPT-2 model:

   lep photon run --name mygpt2 --model hf:gpt2

4. Interact with the Model: Once deployed, you can interact with the model via HTTP requests or the provided web interface.

Pricing Plans

Lepton AI offers flexible pricing plans to accommodate different user needs:

• Basic Plan: Free tier suitable for individuals and small teams. Includes up to 48 CPUs and 2 GPUs concurrently. Users pay only for the resources consumed, with no subscription fees.
• Standard Plan: Priced at $30/month, this plan is designed for collaborative teams and growing businesses. It offers multi-user support, custom runtime environments, and up to 192 CPUs and 16 GPUs concurrently.
• Enterprise Plan: Custom pricing tailored for organizations requiring high SLAs, performance, and compliance. It includes dedicated account management, self-hosted deployments, and advanced security features.

Additional usage costs apply for compute resources, storage, and model API usage. For detailed pricing, refer to the official pricing page.

Frequently Asked Questions (FAQs)

• How are compute usages billed? Compute usage is billed based on the specific resources used, calculated by the minute. Detailed resource shapes and pricing are available on the pricing page.
• Can I cancel my subscription at any time? Yes, subscriptions can be canceled at any time. Users will only be billed for the resources consumed during the billing cycle.
• What kind of support does Lepton offer? Lepton provides comprehensive support through documentation, community forums, and dedicated support for enterprise customers.
• Is there a limit for workspace members? The Basic plan allows a limited number of workspace members, while the Standard and Enterprise plans offer more flexibility and support for larger teams.
• Do I need to pay for serverless endpoints usage fee if I upgrade to the standard plan? The Standard plan includes serverless endpoints usage, but additional charges may apply based on usage beyond the included limits.