AI Developer Cloud. AI infrastructure developers trust. discord.gg/runpod
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In 2023, everyone was talking about training. That conversation still matters, but it's not what's eating your week anymore. The fight moved to inference, latency per token, throughput under real load, and a GPU bill that grows faster than you'd like...
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“With Runpod, we can choose the right card for the job.”
That’s why Nodalview only moved their inference to Runpod. The rest of their stack still runs on other infrastructure.
Want to know about their specific setup? Read the entire story here:
runpod.io/case-studies/how-n…
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There’s been a lot of chatter about OpenJev over the past couple of weeks.
So we wanted to make it easy for you to try.
See how you can get started here:
runpod.io/blog/how-to-deploy…
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LTX grew from 1.7% to 25.4% of Runpod video endpoints in eight months.
That's a gain of 23.7 percentage points and a nearly 15x increase. No video model outside Wan and LTX reaches 2%.
The full data:
runpod.io/reports/fall-2026-…
@ltx_io
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Scatter Lab's Zeta app lets people become the main character in a story and talk to AI characters like they're real.
When the big cloud providers couldn't get them the GPUs they needed to scale, they built a multi-region orchestration layer on Runpod.
Read their full story here:
runpod.io/case-studies/how-s…
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Comfy API is live
Point it at a workflow JSON and it handles the rest:
→ Resolves your custom nodes, models, LoRAs, and Python deps
→ Pins it all, ComfyUI version included, into a versioned Build
→ Cuts an immutable release, so what you test is what ships
→ Deploys as an autoscaling endpoint on RTX PRO 6000, H100, H200, or B200
Click the link below to deploy your first workflow and learn more with our blog ⬇️
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What can 1.2 million developers tell you about where AI is actually going?
Our own Charlotte Daniels dug into the data and pulled out seven things we didn't expect.
You can find them here:
runpod.io/blog/fall-2026-sta…
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Congrats to the team that created Peel, which won the 1st-place grand prize at HackMIT out of hundreds of projects!
They built it on Runpod. Here's what the team said about their stack:
"We used Runpod to host our backend on a CPU pod with a Network volume. The network volumes helped us avoid repeating setup. It also made it very simple to switch between GPU and CPU pods. We also used the Runpod Secrets manager instead of a .env file on the Pod itself."
Take a look at the project here: github.com/ramlukn/HackMIT-2…
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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: runpod.io/reports/fall-2026-…
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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: runpod.io/reports/fall-2026-…
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Jacob Seeger built @facelessvideo as a solo founder, moved his video generation workload onto Runpod Serverless, and cut generation costs by more than half.
Since their launch, 2.5 million creators have signed up and they just hit $1M ARR.
Want to know more about their story? You can find it in the link below:
runpod.io/case-studies/how-f…
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We brought LEGO to WeAreDevelopers last Thursday, and it turns out everyone's a builder.
Thanks to everyone who joined us and to our co-hosts, @apify & @floxdevelopment .
We'll be back for more!
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Just spun up your first Pod and wondering how to get your files onto it?
We just wrote a guide that covers everything from scratch. SSH keys, SCP transfers, your FileZilla setup.
You can find it here:
runpod.io/blog/how-to-connec…
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A thousand hours of audio costs $7 to transcribe on the right GPU. $507 on the wrong one.
We benchmarked Whisper large-v3-turbo across 23 GPUs and the results aren't what most people expect.
Read the entire breakdown here:
runpod.io/articles/guides/be…
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Always humbled and excited to see what our customers run on Runpod
We now run the largest frontier lab composed entirely of autonomous AI researchers.
Introducing Primus Society: a society of agents composed of thousands of researchers working under structured institutions designed to solve the world’s toughest problems. We believe this is how AI research should run at scale, safely and productively: an entire society of agents with institutions and purpose.
One discovery we can already share is that the society has discovered a novel result which improves model training by 30%.
Primus Society was inspired by the structures that have organized science for centuries and stress-tested against what’s known about how populations of AI agents fail.
Everything is observable. You can open the virtual city in a browser and read what any researcher is working on.
Learn more about Primus Society here:
lab.cloud/society
The biggest opening in the AI race is running the largest well-governed organization of AI researchers in the world. We’re building the institutions that let a million AI scientists safely tackle the world's toughest problems in AI and beyond. And we’re doing it right here in Canada.
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You shouldn’t have to choose between the cloud your dev team already uses and the cloud your company can approve.
That’s the idea behind Runpod Enterprise. Start self-serve, prove the workload, and formalize it under an enterprise agreement when you’re ready.
The platform stays the same, but the capacity, controls, and support grow with you.
If you’re ready for that conversation, here’s where you can learn more:
runpod.io/blog/runpod-enterp…
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We're going live tomorrow with Greg Wester and Vijay Chauhan.
In 30 minutes, they'll take you through what separates enterprise-grade AI compute from enterprise-priced AI compute.
We're hosting two sessions (6 AM & 11 AM PT), so just pick whichever one works best for you!
Register here: resources.runpod.io/enterpri…
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We’re co-hosting a meetup together with Flox & Apify. Demos, drinks, bites, and LEGO (for all the builders out there).
Join us at Stage 9, Room 211B at 6:30 PM on Thursday.
You can register here: luma.com/apify-qplc
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"If you simply drop a cutting-edge LLM into the average corporate data warehouse, it doesn't become a brilliant data analyst. It becomes a confident idiot."
Our Head of Data, Charlotte Daniels, shares what building an internal AI agent at Runpod taught us about data foundations, schema design, and why the model is never the bottleneck.
Read the full piece on InfoWorld:
infoworld.com/article/422297…
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Nearly three years ago, Rendair started with just one serverless endpoint on Runpod.
They now run 22 in production, which have generated over 13 million images.
See how they built it in our latest case study:
runpod.io/case-studies/how-r…
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