Runhouse provides a platform for developers to program machine learning systems using standard Python code, allowing for execution on various compute infrastructures.

Runhouse

Runhouse provides a platform for defining training pipelines using Python and dispatching them to various compute resources. It offers tools for managing the machine learning lifecycle and improving developer experience with observability and access control.

Runhouse | 1,730 followers on LinkedIn. The best way to deploy, debug, and iterate on AI systems within your own infrastructure. | For teams building ML platforms, Runhouse is an open-source solution that&#39;s the easiest way to build robust, efficient and reproducible pipelines within your existing infrastructure. 

With Runhouse, your team just writes normal Python code and Runhouse enables instant deployment of that code to any compute.
1. Retain the speed of iteration and debug that you get with notebooks since code is redeployed fast, and callable on remote as if it were local. 
2.

Chief Product Officer at MongoDB; Board Member; Investor

Sahir Azam

Engineer Runhouse, Founder Happyfeed

Matt Kandler

CEO at 🏃♀️Runhouse🏠, x-PyTorch

Donny Greenberg

CTO at 🏃♀️Runhouse🏠

Josh Lewittes

Hear a replay of our presentation at the Anyscale Ray Summit and hear how Runhouse enables easy adoption of #Ray without disrupting your existing infrastructure while giving you fault-tolerant, flexible, and cost-efficient execution. https://lnkd.in/exc_WR4i #ML #MLOps

While LLMs dominate the news cycle, "boring" ML like recommender systems or fraud detection have quietly continued to be the main driver of realized value from applied AI in the enterprise. Pre-trained language models cannot conquer every use case, and deploying (useful) LLM pilots should not distract from enabling an ML platform that enables the creation of first-party models from your first-party data. https://lnkd.in/eezae4b7 #LLMs #genAI #datascience #ml #mlops

What is an ML platform? We have found no clear reference architecture and in most organizations, the ML platform means the hard work of multiple smart people rather than a true platform enabling software-like development lifecycles. This ambiguity is exacerbated by the fact that the definition of an ML platform has changed every 2-3 years, while vendors / cloud providers / generative AI solutions continuously add noise. In this article, we trace the history of ML platforms to understand their evolution over the past decade. Then, we attempt to define the requirements of a modern platform that lets engineers create, test, and deploy ML like software. https://lnkd.in/eDJ2ngxT #mlplatform #mlops #ml #ai #platformengineering #mlengineering

Excited to be giving a talk among great company at the #RaySummit . Let us know if you're going to be around!

We are excited to announce that Donny Greenberg , the co-founder and CEO of Runhouse 🏃, will speak at #OSACON 2024! Explore a novel approach to ML orchestration that allows seamless execution across diverse environments, overcoming the challenges of constrained resources, cloud commitments, and data residency. 💻 Register for the conference: osacon.io

The Open Source Analytics Conference (OSA Con)

Last night, I teamed up the Runhouse team (cc Donny Greenberg ) to co-host an ML Engineering mixer in the city 🍻🍹 Stunning views and fantastic turnout from ML practitioners at The Home Depot Glean Datadog ASAPP & MORE. We dove deep into all things ML Infra 🪛🛠️ Building AI on your infra? Give Runhouse a spin - they’re game changers!

Priyanka Somrah

All right!! Tonight we'll run our first post-summer Stockholm MLOps Community meet-up at Combient 's offices in the city. So if #Stockholm is your place and #mlops is your thing, and you have signed up, I look forward to see you there!!! This time, we'll team up with Runhouse who is our event sponsor as well as with Opper AI and Scaleout . Kajsa Norin will be moderating the Q&A session. If you would like to get involved in the community, ping me! Also, if you have any suggestions on interesting topics, speakers, companies, initiatives, technologies, let us know! Full program here: https://lnkd.in/dTRP_Tgu Ping Donny Greenberg Paul Yang Andreas Hellander Kim Henriksson Harry Souris Demetrios Brinkmann Samuel Bohman Alexander Aurell Levi Szász Goran Cvetanovski Ingrid af Sandeberg

Patrick Couch

Join our ML Engineering Happy Hour co-hosted by Priyanka Somrah , Donny Greenberg and the entire Runhouse team 😎 We're gathering our NYC technical community of practitioners across the ML Engineering ecosystem to come grab a drink, mingle, and kick off the Fall 🍂 https://lnkd.in/ex5AaJEg

Work-Bench

🚨 #RaySummit speaker session alert!🚨 Join Runhouse as they reveal a new system that transforms Ray from single-player per cluster to multiplayer 🚀 Discover how they're overcoming cluster restrictions and introducing a collaborative UI, making AI resources accessible—like a Google Drive for AI 🙌 Don't miss it, sign up today: https://lnkd.in/gWTKRzwc

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