llm-d/llm-d
Achieve state of the art inference performance with modern accelerators on Kubernetes
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A minimal Python framework for building custom AI inference servers with full control over logic, batching, and scaling.
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Achieve state of the art inference performance with modern accelerators on Kubernetes
Open source platform for AI Engineering: OpenTelemetry-native LLM Observability, GPU Monitoring, Guardrails, Evaluations, Prompt Management, Vault, Playground. 🚀💻 Integrates with 50+ LLM Providers, VectorDBs, Agent Frameworks and GPUs.
A high-throughput and memory-efficient inference and serving engine for LLMs
Low-code framework for building custom LLMs, neural networks, and other AI models
Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
A powerful AI framework with structured Pydantic responses, flexible LLM integration, and advanced agent capabilities
https://lightning.ai/litserve?utm_source=litserve_readme&utm_medium=referral&utm_campaign=litserve_readme
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