Runpod

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[Runpod @runpod]

The 2026 State of AI Compute Fall report is live.

We analyzed what 1M+ Runpod developers ran: model precision, open + frontier stacks, agent-provisioned infrastructure, GPU demand, and the supply calls we got right and wrong.

Download the report for free: https://t.co/vfhCuUyn8i

[Runpod @runpod]

We've met a lot of builders at the @PyTorch Conference so far. Thanks to everyone who stopped by.

We'll still be there the rest of today; if you're there, come say hi!

PS: We'll also be at AGNTCon + MCPCon in San Jose (Oct 22–23), @CalHacks 13.0 (Oct 23–25), and @_odsc Conference West (Oct 27–29).

[Runpod @runpod]

Architectural renders in minutes, not days.

Gendo moved to Runpod Serverless in two days, saved 100+ hours on DevOps, and saw a 5x increase in throughput.

https://t.co/Q4YmhnoOyR

[Runpod @runpod]

Cal Hacks 13.0 is taking place this week.

A 36-hour hackathon at one of the best venues of SF: the Palace of Fine Arts.

If you're a student, come build with us!

Register here: https://t.co/xiY2Sn1W4z

[Runpod @runpod]

PyTorch Conference is happening this week in San Jose and we’ll be there.

Come say hi if you’re working on training, inference, or anything PyTorch.

PS: You can register through the link in the comments 👇

https://t.co/m8MHx1xBHh

[Runpod @runpod]

If Nix is how you manage your environment, Flash now fits right in.

nix run github:runpod/flash gives you the CLI with everything pinned.

Read more about it here:

https://t.co/n3kDdOkpLu

[Runpod @runpod]

@LangChain is the most frequently observed agent framework in Runpod workloads.

The common use cases are practical: retrieval, customer support and document Q&A. We also found health care workflows, voice collections and a pull request reviewer.

https://t.co/hpdVmXH7Oq

[Runpod @runpod]

Happy to be partnering with you on this one, @ComfyUI

$25K in prizes and some RTX 5090s up for grabs.

Check out the comments in the post below to sign up and submit.

[ComfyUI @ComfyUI]

Higgsfield promised to open-source their entire platform. They didn’t.

Let's help them.

For the next two weeks, Comfy and our partners are putting up $25,000 in prizes for the best open-source builds on the Comfy Developer Platform.

Partners: @NVIDIAAI, @runpod, @MiniMax_AI, @ltx_io, @bfl_ai

→ $10K grand prize
→ RTX 5090: Most Innovative
→ RTX 5090: Most Viral
→ RTX 5090: Open Weights Only
→ 10 runners-up: $250 in Comfy credits

[Runpod @runpod]

Q3 on Runpod took more of the work of scaling off your plate.

Batch inference on Serverless, storage that isn’t pinned to one datacenter, clusters that grow in place and Organizations for company-wide access and spend.

What shipped: https://t.co/ClZfkQjbox

[Runpod @runpod]

Open Source Films is making a feature film with an entirely open-source, AI-assisted VFX pipeline.

The entire pipeline behind it all runs on Runpod Pods.

Read the full case study here:

https://t.co/n1GkKDneY8

[Runpod @runpod]

Check out the entire list here:
https://t.co/OqmQ7liDRE

[Runpod @runpod]

Whoa now... we just made @LinkedIn's Top Startups 2026 list.

This isn't one you can apply for. We were one of 50 companies chosen based on our hiring momentum, talent quality, and job seeker interest.

One team, one dream. Thank you to the folks making this happen every day.

[Runpod @runpod]

Startups usually compare GPU clusters on the per-GPU hourly rate.

But a large part of the bill comes from somewhere else.

Our team just wrote a guide on what to watch out for:

https://t.co/4Y5gSi6xD4

[Runpod @runpod]

AI infrastructure doesn’t scale cleanly.

When you size to peak, you pay for idle GPUs throughout the quarter. Size to average and your launch day gets throttled.

Companies we speak with say it’s because of two things:
- Their demand forecast is wrong in both directions.
- And idle GPUs bill the same as the ones that are in use.

So we structured Runpod Enterprise around that reality: a reserved baseline at committed rates, with burst for the part you can’t forecast.

Because launch day isn’t the day that you want to test your infrastructure.

Check out the details of our new Enterprise program here:

https://t.co/3mT3AOlJoL

[Runpod @runpod]

The platform for your AI.

Now on Caltrain, too.

[Runpod @runpod]

Fine-tuning is excellent at style, but it’s unreliable for facts.

Which is why the best results come from combining the two: training for the voice, prompting for the facts.

We wrote the full pipeline guide here:

https://t.co/J86BkOAW5a

[Runpod @runpod]

DeepSeek’s share of OpenRouter token volume doubled from 9% in January to 18% in June 2026.

That measures combined input and output tokens, not requests or task completion. Price alone does not tell you what a workload costs.

https://t.co/D82pUXyP51

@deepseek_ai

[Runpod @runpod]

We have a new community template on Runpod: Decision 2.0 for Serverless.

You just send a question and get back a probability or a structured choice. Zero output tokens spent.

https://t.co/yck9v0sMt2

[Runpod @runpod]

Migrating an AI pipeline usually means rewriting it. But for a codebase that’s been running since 2021, that’s not an option.

So Botto took a different path.

Read their story here:

https://t.co/e0izW7ktBt

@bottoproject

[Runpod @runpod]

@LangChain is the most frequently observed agent framework in Runpod workloads.

The common use cases are practical: retrieval, customer support and document Q&A.

We also found health care workflows, voice collections and a pull request reviewer.

https://t.co/D82pUXyP51

[Runpod @runpod]

Global Volumes are in beta for Runpod Serverless.

Store model weights once, and your workers can start in any data center with your GPU types.

It mounts at /runpod-volume like a network volume, so existing handlers run without code changes.

https://t.co/X44Zoo9VP8