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Today, we're introducing AC2, the Applied Compute Agent Cloud, to enable every team to train, serve, and improve their own frontier models.

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Applied Compute

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206,702 Aufrufe • vor 1 Monat •via X (Twitter)

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Profilbild von Applied Compute
Applied Computevor 1 Monat

AC2 turns post-training into a repeatable, engineered process. Use your own harness to train up to multi-trillion-parameter models with all the latest research techniques.

Profilbild von Applied Compute
Applied Computevor 1 Monat

Ari, our research agent, monitors training, reads traces to find failure modes, analyzes results, and turns insights into better data, graders, and experiments.

Profilbild von Applied Compute
Applied Computevor 1 Monat

When you have the right checkpoint, deploy it to production with AC2 inference: dedicated, low latency, and 99.9% uptime all while preserving the configuration used during training.

Profilbild von Applied Compute
Applied Computevor 1 Monat

The most useful data comes from real user interactions, feedback, and traces. With self-distillation, your model can learn from production traces even when the original environment can’t be replayed.

Profilbild von Applied Compute
Applied Computevor 1 Monat

Over the last six months, AC2 has powered our Applied AI team’s work for Microsoft, NVIDIA, Cognition, Harvey, DoorDash, and others. Now, we’re excited to empower every AI team with their own model factory. AC2 is available in private beta. Reach out to learn more.

Profilbild von Ishan Mukherjee
Ishan Mukherjeevor 1 Monat

Congrats @rhythmrg @ypatil125 @lindensli @michaelzchen5 and team! Looking forward to working as we post train our @rox_ai models.

Profilbild von John Schulman
John Schulmanvor 1 Monat

congrats!

Profilbild von vincent sunn chen
vincent sunn chenvor 1 Monat

congrats @ypatil125 @lindensli @michaelzchen5 and team!!

Profilbild von Apoorv Agrawal
Apoorv Agrawalvor 1 Monat

Let's go!! @ypatil125 @lindensli Agastya and team!

Profilbild von Dan Biderman
Dan Bidermanvor 1 Monat

congrats guys!

Profilbild von Jonathan Jacobi
Jonathan Jacobivor 1 Monat

👑

Profilbild von Francesca LaBianca
Francesca LaBiancavor 1 Monat

Congrats team!

Profilbild von andrew
andrewvor 1 Monat

congrats on the launch!

Profilbild von Jared Rosner
Jared Rosnervor 1 Monat

🔥

Profilbild von kevin
kevinvor 1 Monat

congrats on the launch AC team!

Profilbild von Maanav Khaitan
Maanav Khaitanvor 1 Monat

congrats on the launch!

Profilbild von Lina T
Lina Tvor 1 Monat

the team is cooooking 🧑‍🍳

Profilbild von Zongheng Yang
Zongheng Yangvor 1 Monat

Congrats @ypatil125 @lindensli and team, cooking 🔥

Profilbild von Ramin
Raminvor 1 Monat

great work! can I get access?

Profilbild von Neeraj Kumar
Neeraj Kumarvor 1 Monat

Improvement loops need reversible deployment.

Profilbild von Shriram Sridharan
Shriram Sridharanvor 1 Monat

Congrats on the launch !!

Profilbild von Praneet
Praneetvor 1 Monat

Incredible launch, congrats @rhythmrg and team!

Profilbild von angela zhang
angela zhangvor 1 Monat

So exciting!! Let’s go!!

Profilbild von Omeed Tavakoli
Omeed Tavakolivor 1 Monat

Wow

Profilbild von Ishan Gupta
Ishan Guptavor 1 Monat

Congrats on the launch!

Profilbild von Alex
Alexvor 1 Monat

Awesome !! This gives companies more control over their models. Something awesome is happening ! We just need to combine it all...!!

Profilbild von angel hernandez
angel hernandezvor 1 Monat

What happens when the us government regulates frontier models and we are only allowed to use claude

Profilbild von Sebastian Tan
Sebastian Tanvor 1 Monat

insane

Profilbild von Sebastian Buzdugan
Sebastian Buzduganvor 1 Monat

most teams lack enough clean data for frontier training, how does ac2 prevent garbage feedback loops

Profilbild von jian
jianvor 1 Monat

It’s like Tinker

Profilbild von Rompel
Rompelvor 1 Monat

"Enable every team to train frontier models" is the pitch every MLOps startup makes right before the pricing page shows you still need a stack of H100s and an RL infra team to use it. What's actually managed here — the training loop, or just the serving layer around someone else's weights?

Profilbild von Robby Manihani
Robby Manihanivor 1 Monat

congrats @ypatil125 and team!

Profilbild von 刘朝 Zhao Liu
刘朝 Zhao Liuvor 1 Monat

The trace-to-checkpoint loop is the real product: research agents find failure modes, graders turn them into evidence, and deployment preserves the tested configuration. Account and session state belong in that trace too:

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