Catalog
We list GPU hours they publish for instances. Token APIs are a different product and we refuse to rank them as $/GPU/hr.
Provider review / verified 2026-09-05
Together AIGPU review
Together AI is famous for inference APIs and open-model serving. GPU cloud is part of the story. If you landed here for a cheap H100 pod, check whether you actually wanted an API with a GPU behind it.
Models listed2
From /GPU/hr$3.49
Regions in sample1
Business modelInference + GPU cloud
Our reading
Who this provider is for
I use Together when the product is tokens, not SSH. Fine-tunes and dedicated endpoints on their stack beat me fighting CUDA on a random pod, until I need a custom kernel or a 10-hour debugging session. Then I leave and rent a machine. Together is not RunPod with a prettier inference wrapper. It is an inference company that will sell you compute. Rent it for that.
Rent it if Teams serving or fine-tuning open models who want an API and optional dedicated GPUs, not a sysadmin hobby.
Skip it if People who need raw SSH, weird CUDA, or a 4090 to scrape images. Different shop.
How we compare hoursStrengths
- Inference-first: endpoints, fine-tunes, and GPU rental in one brain
- Strong open-model catalog if you wanted tokens yesterday
- Dedicated GPU instances when the API ceiling is the problem
- Less time spent on vLLM plumbing for common models
Limits
- You pay for product, not for the cheapest spare 4090 on earth
- Custom training loops and exotic stacks belong on a pod
- Pricing units mix tokens and hours, do not compare them in one cell
- Not a cluster IB story
Same standard, every cloud
What we measured on Together AI
Four checks we apply to every provider. This is not a score, and it is not a paid ranking.
Price signal
Instance hours compete with RunPod/Lambda. APIs compete with other inference vendors. Keep the units clean.
Product shape
API + fine-tune + optional dedicated GPU. SSH is not the brand.
Still verify
If you need a machine, confirm instance SKU. If you need tokens, leave this GPU table and compare APIs properly.
- Model
- Inference + GPU cloud
- Headquarters
- San Francisco, US
- Setup
- API, fine-tunes, dedicated GPUs
- Billing
- Tokens and/or GPU hours
- SSH culture
- Secondary
- Founded
- 2022
- Best known for
- Open-model inference
- Compare with
- RunPod serverless, Fireworks-class APIs, Lambda
Catalog listings
Together AI catalog sample
Published on-demand hours first. Spot and waitlists are labeled. Confirm the live rate before you provision.
Tokens vs hours
The original sin of GPU content is putting an API next to a pod and calling it a comparison. Together sells both. GPUBeacon’s table is hours. If your bill is tokens, this page is context, not the checkout.
I fine-tune on Together when the model is in their garden. I rent RunPod when I am off-map.
When dedicated GPUs make sense here
When the API rate-limit is the product constraint. When you want their stack without noisy neighbours. When you still do not want to own CUDA.
When you need InfiniBand and a custom NCCL dance, you are in the wrong church.
How I actually rent it
- 01
Decide API vs instance
Tokens or a GPU hour. One page cannot optimize both.
- 02
If instance: match the GPU
VRAM and count like any other cloud. Then compare RunPod/Lambda.
- 03
If API: leave the GPU table
Compare quality, limits, and $/million tokens elsewhere. Do not launder it through an H100 cell.
FAQ
Together AI questions
Is Together AI a GPU cloud?+
It is an inference platform that also offers dedicated GPUs. Lead with that, or you will shop it wrong.
Together vs RunPod?+
Together for model APIs and stacked fine-tunes. RunPod for pods and serverless workers you own.
Can I SSH on Together?+
Do not assume a RunPod-like pod UX. Confirm the instance product. Many users never SSH and should not.
Who should skip Together?+
Anyone whose job is a custom trainer on a 4090 at 3am. Rent Vast.ai or RunPod.
Sources
Where these numbers come from
Prices and SKUs are from the GPUBeacon catalog sample. Ranking rules are on the methodology page. Outbound links may be affiliate. They never change the hour we display.
GPUs
Keep comparing
Other providers to compare
Same fields, different product. Compare the GPU hour before you lock a brand.
