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Enjoy unlimited API calls with Serverless AI Workers/LLMs for just $25 per month. No rate or concurrency limits.

Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.

AI chat platform for asking questions, coding, reasoning, and working with DeepSeek models.

Cheaper V4 model, supports thinking and non-thinking modes.

DeepSpeed supports deploying, serving, monitoring, or operating AI and machine-learning systems.

MII makes low-latency and high-throughput inference possible, powered by DeepSpeed.

Track real-time GPU and LLM pricing across all cloud and inference providers.

Train and run a computer vision model with 5-10 lines of code.

Scalable deep learning training platform with integrated hyperparameter tuning support; includes Hyperband, PBT, and other search methods.

Dify supports deploying, serving, monitoring, or operating AI and machine-learning systems.

Dominodatalab supports deploying, serving, monitoring, or operating AI and machine-learning systems.

Design and Deploy Large Language Model Apps.

A library for probabilistic modelling, inference, and criticism. Built on top of TensorFlow.

10x faster, cheaper, and better vector database.

Interactive reports to analyze ML models during validation or production monitoring.

A library for efficient similarity search and clustering of dense vectors.

Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.

Falcon LLM is a generative large language model (LLM) that helps advance applications and use cases to future-proof our world.

Feast is an end-to-end open source feature store for machine learning. It allows teams to define, manage, discover, and serve features.

Feature store for machine learning.

FeatherCNN is a high performance inference engine for convolutional neural networks.

An enterprise-grade, high performance feature store.

A Virtual Feature Store. Turn your existing data infrastructure into a feature store.

PyTorch Lightning extension that accelerates and enhances foundation model experimentation with flexible fine-tuning schedules.