Mlops

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.

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

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.

MLOps framework to package, deploy, monitor and manage thousands of production machine learning models.

Caffe provides an open framework for building and running deep learning models.

Respan unifies LLM observability, evals, prompt optimization, and an AI gateway so teams can ship reliable AI applications.

Cortex Memory provides memory management tools for autonomous systems, with search, optimization, and APIs.

Xpress AI provides persistent AI coworkers for shared project work, durable tasks, and configured tools.

Cerebras provides AI inference infrastructure built around its wafer-scale chips.

Banana hosts GPUs for AI inference and supports autoscaling for high-throughput workloads.

Hyperbrowser provides cloud browser infrastructure for AI agents and applications.

TensorZero builds open-source tools for production-grade LLM applications: LLM gateway, observability, optimization, evaluations, and experimentation.

The Darknet neural network framework is written in C and CUDA and supports CPU and GPU computation.

DigitalOcean offers cloud infrastructure for AI agents, inference, and production AI products.

Forefront provides a platform for fine tuning and running inference with open source language models.

DEAP provides a Python framework for prototyping evolutionary computation algorithms and testing new ideas.

ModelOp manages enterprise AI assets and governance through a command center for tracking AI delivery.

PyCaret provides a low code AutoML platform for Python, with a scikit-learn native engine and React control plane.

Confident AI provides evaluation, observability, red-teaming, and governance tools for testing and monitoring AI systems.

Colibri runs mixture-of-experts language models on local hardware, streaming experts from disk with a small C engine.

Featherless is a serverless AI inference platform for open-weight models with API access to tens of thousands of models.

Lambda provides on-demand GPU instances and reserved clusters for training and running AI models.

A multimodal lakehouse for developing, managing, searching, and serving large-scale AI datasets.