runhouse_'s profile picture. Making ML infrastructure easy and scallable. Drop us a ⭐️: https://t.co/kTQPoOiQ8h

Runhouse

@runhouse_

Making ML infrastructure easy and scallable. Drop us a ⭐️: https://t.co/kTQPoOiQ8h

Joined October 2022
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Hear a replay of our presentation at the @raydistributed Summit about how Runhouse enables easy adoption of #Ray without disrupting your existing infrastructure while giving you fault-tolerant, flexible, and cost-efficient execution. youtube.com/watch?v=Tq2UNQ…


Runhouse Reposted

We've observed an alarming line of discussion questioning whether companies should invest in the capabilities to train their own models, with "all ML moving to LLMs" as the alternative. The premise is that if you squint, you could imagine how a sufficiently powerful LLM could…


Runhouse Reposted

We're excited for the return of #DevOpsDaysTLV (Oct 30-31) which means: - 4 portcos taking over our booth @Tabnine @velocitytechhq @trywilco @runhouse_ - Hetz hosting you at the Happy Hour on Day 1 Time to grab a spot and join @DevOpsDaysTLV for the best #dev event of the year!


Runhouse Reposted

Fav talk at the #RaySummit2024 has to go to the ✨ @runhouse_ team ✨ with @DonnyGreenberg @mattkandler taking the stage to share how they’ve built Run.house to foster collaborative Ray development at scale The team’s also doing a super fun drink sesh at 6:30 PT…

psomrah's tweet image. Fav talk at the #RaySummit2024 has to go to the ✨ @runhouse_ team ✨ with @DonnyGreenberg @mattkandler taking the stage to share how they’ve built Run.house to foster collaborative Ray development at scale 

The team’s also doing a super fun drink sesh at 6:30 PT…
psomrah's tweet image. Fav talk at the #RaySummit2024 has to go to the ✨ @runhouse_ team ✨ with @DonnyGreenberg @mattkandler taking the stage to share how they’ve built Run.house to foster collaborative Ray development at scale 

The team’s also doing a super fun drink sesh at 6:30 PT…

Runhouse Reposted

🚨#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…

raydistributed's tweet image. 🚨#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…

Runhouse Reposted

Join our ML Engineering Happy Hour hosted by @psomrah @DonnyGreenberg & the @runhouse_ team 🍻 ​We're gathering our NYC technical community of practitioners across the ML Engineering ecosystem to come grab a drink, mingle & kick off the Fall 🍁🍂 lu.ma/MachineLearnin…


Runhouse Reposted

📢 Calling all Machine Learning Engineering practitioners & builders! @Work_Bench & @runhouse_ 🏃🏡 are kicking off the Fall season 🍂🍁 with a happy hour on Tue, Sep 10th! 🍻 Join us for drinks and snacks and come nerd out with fellow ML engineers in NYC. We have folks from…


If you love the interactivity and visualizations of notebooks but want the determinism and power of ML pipelines, you should be using @marimo_io with Runhouse!

From local development to cloud compute: you can now run functions in a marimo notebook on remote clusters! We unlocked this capability thanks to @runhouse_, which builds on @skypilot_org to make it seamless to run remote functions.

marimo_io's tweet image. From local development to cloud compute: you can now run functions in a marimo notebook on remote clusters!

We unlocked this capability thanks to @runhouse_, which builds on @skypilot_org  to make it seamless to run remote functions.


Runhouse Reposted

We've seen these same flexibility wins onboarding users to Ray, with cost savings of 50% or more being the norm. My only edit is in the final bullet: with @runhouse_ you don't need to tunnel in a notebook to interactively use the Ray cluster, we solve your Python<>Ray interface…

Lots of deep lessons from the AI infra journey at Pinterest going back to Q1 2023. Some impressive stats - 5000+ training jobs / month - 300+ batch inference jobs / month

robertnishihara's tweet image. Lots of deep lessons from the AI infra journey at Pinterest going back to Q1 2023.

Some impressive stats
- 5000+ training jobs / month
- 300+ batch inference jobs / month


Runhouse Reposted

💔 Ripping open the "Orchestrator" For a long time I cringed when people called @runhouse_ an orchestrator. It was built to solve development and execution across ML infra *without* an orchestrator, so you get the iteration, debugging, and flexibility of local Python back. I've…


Runhouse Reposted

Runhouse @runhouse_ x SkyPilot Great post from @DonnyGreenberg on how Runhouse leverages SkyPilot to make scaling batch processing on any cloud easy:

You would *think* having access to a cloud account or big cluster would make programming fun. You would think that your "hyperscaler" would make parallelizing a simple operation easy - that should be the "Hello world" of having a cloud account! You'd be wrong, until now. We've…



Runhouse Reposted

You would *think* having access to a cloud account or big cluster would make programming fun. You would think that your "hyperscaler" would make parallelizing a simple operation easy - that should be the "Hello world" of having a cloud account! You'd be wrong, until now. We've…


Runhouse Reposted

Join us for our #TechWeekNYC kickoff event on June 3! Don't miss an afternoon with the hottest #generativeAI speakers like Kay, @runhouse_, @Articul8_AI & @_squidcloud 🤖 Chat with Lux Capital Partner + AWS experts. Prove what's possible with the #AI! go.aws/4bsQ62s

AWSstartups's tweet image. Join us for our #TechWeekNYC kickoff event on June 3!
Don&apos;t miss an afternoon with the hottest #generativeAI speakers like Kay, @runhouse_, @Articul8_AI &amp;amp; @_squidcloud. 🤖 Chat with Lux Capital Partner + AWS experts.

Prove what&apos;s possible with the #AI! go.aws/4bsQ62s

Making ML infrastructure fun is one of the biggest opportunities in enterprise SaaS. If that sentence gets you hyped up you've found your people 👇 run.house/about#hiring


Runhouse Reposted

Early on in 🏃‍♀️Runhouse🏠, the creator of a major ML platform told me he’s not sure if it’s possible for one DevX to support both workflow/training pipelines (long running, throughput-bound) and serving/inference pipelines (fast, latency-bound). We took that personally. We’re now…


Runhouse Reposted

I'm absolutely riled up about this @runhouse_ code sample. This is what a year of cooking the best AI/ML DevX gets you. Distributed bayesian hyperparameter optimization on any infra, from scratch, in readable idiomatic Python. Step 1: Send your training function *as-is* to infra…

DonnyGreenberg's tweet image. I&apos;m absolutely riled up about this @runhouse_ code sample. This is what a year of cooking the best AI/ML DevX gets you. Distributed bayesian hyperparameter optimization on any infra, from scratch, in readable idiomatic Python.

Step 1: Send your training function *as-is* to infra…

Runhouse Reposted

Wrapped up a redesign project for the @runhouse_ homepage last week - run.house Thoughts? Any way we could we improve the messaging?

mattkandler's tweet image. Wrapped up a redesign project for the @runhouse_ homepage last week - run.house

Thoughts? Any way we could we improve the messaging?

Runhouse Reposted

📢🦙Try Llama3 on AWS EC2, right now!📢🦙 Why is it so hard to stand up a model on simple compute inside your cloud account? Everyone wants you to use their hosted compute, model endpoint, IDE, and/or DSL, but I just want regular Python on a regular box. @runhouse_ makes it so…

It’s here! Meet Llama 3, our latest generation of models that is setting a new standard for state-of-the art performance and efficiency for openly available LLMs. Key highlights • 8B and 70B parameter openly available pre-trained and fine-tuned models. • Trained on more…

Ahmad_Al_Dahle's tweet image. It’s here! Meet Llama 3, our latest generation of models that is setting a new standard for state-of-the art performance and efficiency for openly available LLMs.

Key highlights

  • 8B and 70B parameter openly available pre-trained and fine-tuned models.
  • Trained on more…


Runhouse Reposted

Q: How dedicated are we @runhouse to deploying and serving your random existing jank-ass Python? A: yes

DonnyGreenberg's tweet image. Q: How dedicated are we @runhouse to deploying and serving your random existing jank-ass Python?
A: yes

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