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The easiest way to serve AI apps and models - Build Model Inference APIs, Job queues, LLM apps, Multi-model pipelines, and more!
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Latest capture 2026-07-15 03:04
5 captures since 2026-05-25
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Scanned 2026-07-15 03:04
pyproject.toml
python ecosystem,
92 dependencies
pdm.lock
python ecosystem,
198 dependencies
tests/e2e/bento_new_sdk/requirements.txt
python ecosystem,
4 dependencies
tests/e2e/bento_server_grpc/requirements.txt
python ecosystem,
1 dependency
tests/e2e/bento_server_http/requirements.txt
python ecosystem,
2 dependencies
tests/monitoring/task_classification/pyproject.toml
python ecosystem,
4 dependencies
tests/e2e/bento_server_http/nested/requirements.txt
python ecosystem,
3 dependencies
tests/e2e/fixtures/quickstart/requirements.txt
python ecosystem,
3 dependencies
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Run any open-source LLMs, such as DeepSeek and Llama, as OpenAI compatible API endpoint in the cloud.
Go ahead and axolotl questions
Fast, flexible LLM inference
A unified library of SOTA model optimization techniques like quantization, distillation, pruning, neural architecture search, speculative decoding, etc. It compresses deep learning models for downstream deployment frameworks like TensorRT-LLM, TensorRT, vLLM, etc. to optimize inference speed.
Low-code framework for building custom LLMs, neural networks, and other AI models
ClearML - Auto-Magical CI/CD to streamline your AI workload. Experiment Management, Data Management, Pipeline, Orchestration, Scheduling & Serving in one MLOps/LLMOps solution
