Together AI

Accelerate inference, model shaping, and pre-training on a research-optimized platform.

[Together AI @togethercompute]

https://t.co/tPWYWETLju

[zhyncs @zhyncs42]

Great to see Factory using Reflection’s Beam model through Together AI.

A win-win for all three teams, and a great example of the open AI ecosystem working together.

[Together AI @togethercompute]

factory got early access to beam through together before launch

they used that window to test @reflection_ai's model on real coding + agentic workflows, including tool-error recovery, conflict handling + final repo verification

by day 0, @FactoryAI already knew how beam behaved on the work that matters to their customers

[Hassan @nutlope]

Everything you need to know about MiniMax M3.1 Flash → https://t.co/p9gez6q5Pp.

Now live on @togethercompute!

[Together AI @togethercompute]

minimax m3.1 flash is now live on together ai

we’re excited to be a day-0 launch partner for the model, aka space bunny

m3.1 flash is built for agentic tasks, coding, computer use + cybersecurity, with a 1m context window and vision support

try it now https://t.co/sdIawJuwm4

[deel @deel]

Better AI for global work starts with better training.

Deel’s Pangaea K1 model is trained on 43,500+ pages of expert knowledge and fine-tuned on @togethercompute.

The result: faster, more accurate answers for teams everywhere. Thanks for the partnership.

[Together AI @togethercompute]

.@deel’s data science team went from setup to real rl experiments on together post-training in a couple of hours

they then ran up to five experiments at once on the same gpu capacity

more experiments per gpu means a much faster iteration loop

https://t.co/0WHnc47Psw

[Together AI @togethercompute]

together post-training keeps the training loop in your hands

your code defines the data, rewards, loss, optimizer + lora or full weights. gpu setup and the hard infrastructure are already handled

start from a recipe 👇
https://t.co/zyOOMO8L2R

[Together AI @togethercompute]

Muse Spark Open is the most capable US open-weight model to date, and it’s live on Together AI.

Join @AIatMeta and Together for a live technical deep dive: what Meta built, and how we serve it in production.

🗓 Mon, Oct 26 · 12 PM PT / 3 PM ET

Register → https://t.co/WobgHAqK3p

[Together AI @togethercompute]

read more 👇
https://t.co/Wz67k3S5Wp

[Together AI @togethercompute]

greptile wants to validate every piece of software on the planet

as more code gets written by ai, the first review pass needs to be independent + fast. greptile’s v5 agent spins up sub-agents on every pr, pairing open + frontier models so one model’s blind spots don’t decide what gets caught

together ai powers part of the inference behind those open models, helping reviews come back faster and at lower cost

watch how @greptile does it

[Together AI @togethercompute]

sf, join us this thursday for step 5 preview launch night with stepfun

we’ll dig into the model, building + serving agent workloads, and what’s worth building as models keep improving, with dan fu, hongyu zhou, mar hershenson, saoud rizwan, joey wang

rsvp: https://t.co/IuQF9QHdT3

[Together AI @togethercompute]

Berlin, thank you. Engineers from @n8n_io, @nvidia and Together AI shared what it takes to run open models in production, and the room brought great questions.

Can't wait for the next one.

[Together AI @togethercompute]

together post-training on b200s is $9/gpu-hour for the first eight weeks, down from $11

run sft or rl, iterate on more experiments, and keep the training loop in your own code

https://t.co/0WHnc47Psw

[Together AI @togethercompute]

Find your way to Kaffee Inferenz: https://t.co/lJ37eBswPl

[Together AI @togethercompute]

Kaffee Inferenz just opened, two minutes from GTC Berlin ☕️. Fresh coffee, zero prompts required. Map to find us in the thread.

[Together AI @togethercompute]

@_doubleAI_ Congrats @_doubleAI_ team! Huge launch 🚀

[Adit Jain @aditjain1980]

Got to be a beta-tester for this! Pretty cool, agent-friendly and works for most-use cases!
Custom Models ftw

[Together AI @togethercompute]

@horstenegger already here!
https://t.co/htfClEEQvh

[Together AI @togethercompute]

When you have a few good runs, compare the adapters side by side on one endpoint. Then deploy the best one on Together, or download the weights and run it anywhere.

Available today on open models from Meta, https://t.co/2XG0WEPXwL, Moonshot and Qwen, with more on the way.

https://t.co/J3Mg7hKcIg

[Together AI @togethercompute]

Together Post-Training is live

Turn open models into custom models you own, with SFT or RL.

You define the data, rewards, environments and the training loop itself. We run the hard infrastructure underneath it, tuned for quality and speed.

[Together AI @togethercompute]

Under the hood, every model gets a GPU setup we’ve already tested and rollout engines tuned for RL.

We also keep training and generation in sync, so the quality you see in training holds up when you serve the model.