AI Infrastructure

Chutes provides serverless compute for deploying, running, and scaling AI models through its platform and API.

Manifest connects AI agents and tools to multiple model providers through an LLM gateway.

List of awesome compiler projects and papers for tensor computation and deep learning.

Kimi K2 handles complex language tasks, reasoning, and problem-solving through an AI model developed by Moonshot AI.

File Parser optimised for LLM Ingestion with no loss. Parse PDFs, Docx, PPTx in a format that is ideal for LLMs.

Run sandboxes, task queues, and custom model inference with ultrafast boot times, instant autoscaling, and a developer experience that just works.

Activeloop provides infrastructure for continual learning and develops the Deeplake GPU database for agents.

The Deep Diamond library provides fast tensor and neural network computations in Clojure using native CPU and GPU routines.

Crowdsourced AI prompts are organized into modular task patterns by Fabric, an open-source framework.

Epsilla provides a vector database that uses parallel graph computing for search workloads.

Amadeus Code provides music AI infrastructure for training data, audio supply, and royalty management.

KitOps packages and versions AI models, datasets, code, and configuration as OCI artifacts.

OpenMetadata provides data cataloging, discovery, quality, observability, governance, and lineage tools.

FlexML offers an easy to use and flexible automated machine learning library for Python.

CLIP-as-service provides scalable image and sentence embeddings, reasoning, and ranking with CLIP.

ClearML manages AI experiments, data, pipelines, orchestration, scheduling, and model serving in one MLOps platform.

Espresso AI uses machine learning to optimize Snowflake and Databricks data warehouses and reduce query and infrastructure costs.

The tensorflow-upstream repository provides a ROCm port of TensorFlow for the project.

Ludwig provides a low code framework for building custom LLMs, neural networks, and other AI models.

ZenML provides a platform for machine learning pipelines and AI agents.

EigenCloud offers verifiable cloud infrastructure for building apps and AI agents, with a focus on trusted and accountable agent tasks.

Import.io extracts website content into structured data and offers scraping and data services.

Tensors and Dynamic neural networks in Python with strong GPU acceleration.

Developers can use Superexpert.AI to build and deploy multi-task AI agents on an open-source platform, with a downloadable project and live demo.