Together AI

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

[Together AI @togethercompute]

https://t.co/tPWYWETLju

[Together AI @togethercompute]

together gpu clusters can now take a node from gpu fault to healthy again automatically

health checks identify the failure, the platform chooses the lightest repair, and you decide what can run unattended, down to individual xid codes

here’s how it works
https://t.co/SnYalDO5GV

[Together AI @togethercompute]

Two companies, one goal: open models that work for builders at any scale.

@jmorgan of @ollama and @vipulved of Together AI on where open models win, how to spend tokens wisely, and what developers want next.

📽️: https://t.co/M93rWWWrrL

[Together AI @togethercompute]

the open model stack is becoming composable

model → inference → gateway/router → harness → tools

each layer can evolve independently, so you can swap in better models, providers + tools as the ecosystem moves

we broke down the full stack ↓
https://t.co/3a2RSLkvIh

[Together AI @togethercompute]

minimax m3.1 flash beats opus 5.5 on agentic automation at ~27x lower cost

the model has a 1m context window + vision support, and is built for coding, computer use + cybersecurity

[Together AI @togethercompute]

We are LIVE with @AIatMeta to dive into Muse Spark Open!

[Together AI @togethercompute]

Everything you need to know about Muse Spark Open: A conversation with Meta and Together AI https://t.co/l2GCmogXv9

[Together AI @togethercompute]

Everything you need to know about Muse Spark Open: A conversation with Meta and Together AI https://t.co/l2GCmogXv9

[Together AI @togethercompute]

post-training gets better the faster you can iterate

multiple lora experiments can share the same gpu capacity on together post-training, so you can test more ideas without spinning up new infrastructure for every run

https://t.co/0WHnc47hCY

[Together AI @togethercompute]

minimax m3.1 flash is now available for post-training on together ai

run sft or rl with your own data, rewards + environments, while keeping the training loop in your own python code

take m3.1 flash and shape it for the agentic workload you need
https://t.co/0WHnc47hCY

[Together AI @togethercompute]

Open models in production. Inference at real scale. Cost per token that makes finance smile.

That was the energy at GTC Berlin.

Customer and partner sessions, Kaffee Inferenz, Open Haus Berlin, and a night at Untergrund.

Thanks to every builder who came through.

[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