Los 10 principales competidores de mlops.community

docs.zenml.io

Deploying models to Kubernetes with Seldon Core.

fullstackdeeplearning.com

Software engineering, Deep learning frameworks, Distributed training, GPUs, and Experiment Management.

seldon.io

Plans & Pricing Your Tools, Your Terms Get your models into production with no wasted spend or unnecessary complexity. With flexible support and modular add-ons, you can scale confidently as your needs evolve. An Open Source lightweight inference server for your machine learning models, built to deploy ML models in simple environments.  Get Started Features API Access […]

ml-ops.org

Machine Learning Operations

pydantic.dev

Join live and on-demand Pydantic events on Logfire observability, Pydantic AI and building reliable AI systems. Learn directly from the team behind Pydantic.

twimlai.com

Explore the TWIML AI Podcast with Sam Charrington, featuring expert conversations on machine learning, AI research, tools, and real-world deployment.

astral.sh

Astral builds high-performance developer tools for the Python ecosystem: Ruff, ty, and uv, an extremely fast Python package manager, written in Rust.

shaped.ai

The only vector database with a feedback loop, powering personalised search and recommendations. Shaped has been acquired by Whatnot.

docs.wandb.ai

Ways to manage W&B data storage.

answer.ai

This blog post introduces ModernBERT, a family of state-of-the-art encoder-only models representing improvements over older generation encoders across the board, with a 8192 sequence length, better downstream performance and much faster processing.