LLM Hangar / Alternatives / Together AI
A Together AI alternative that runs in your own AWS account
What Together AI is good at
Together AI is a hosted inference cloud. It serves a wide catalog of open models behind a per-token API, handles infrastructure and scaling for API users, and adds dedicated endpoints, fine-tuning and GPU clusters for teams that outgrow serverless. If you want to pay only for the tokens you use, switch between many models with one key, or absorb traffic spikes without thinking about capacity, Together is worth evaluating.
Why teams look for an alternative
These are reasons Together's own pages document, as published on 22 August 2026.
- Running in your own cloud means talking to sales. Together's docs describe VPC-based deployments, including in EU regions, as an enterprise arrangement; there is no self-serve way to have a model provisioned inside your own AWS account.
- On serverless you do not choose where the model runs: requests are handled on Together's infrastructure in the regions it operates. The published zero-data-retention setting limits what is kept, but the request still leaves your network and your account.
- The invoice comes from Together rather than your cloud provider, so AWS credits, reserved capacity and negotiated rates cannot be applied to tokens bought from a third party.
Side by side
| Together AI | LLM Hangar | |
|---|---|---|
| Runs in your own cloud account | Enterprise VPC deployments via sales | Yes: AWS, Nebius, RunPod or Verda, self-serve |
| EU pinning surcharge | Not stated (EU regions are part of the enterprise VPC offer) | No platform surcharge; provider rates vary by region |
| Self-serve BYOC | No | Yes, 7-day free trial |
| Audit log tier | Not stated | Every plan, including the trial |
| Who sees the prompt | Together's infrastructure handles the request | Direct to your instance by default; hosted gateway optional |
| Pricing model | Per token on serverless; dedicated endpoints per GPU hour | $39 per month for the platform; GPU hours billed by your provider |
| Certifications | See Together's trust pages | None claimed yet; controls are described on the security page |
When LLM Hangar fits
It is not a serverless, per-token API. Every deployment is one model on one GPU shape that fits it, running in your account until you stop or delete it, so it suits steady workloads on private data. A per-token API may cost less for low or irregular usage; compare your actual request volume. The Lab plan runs one GPU shape per deployment. There is no fine-tuning service, and the catalog is curated rather than exhaustive (you can also deploy a Hugging Face repository of your choosing).
Questions people ask
Is LLM Hangar cheaper than Together AI?
It depends on utilisation. Together AI bills per token, so a low or bursty volume costs very little. LLM Hangar is $39 per month plus the hourly price of a GPU in your own account, so compare the total bill with the API cost of the workload the instance can actually serve. Budget caps, self-destruct timers and wake/sleep schedules keep the hourly side bounded.
Can I keep my Together AI code?
Usually yes. Both expose an OpenAI-compatible API, so clients that already point at Together's base URL switch by changing the base URL, the API key and the model id. Working snippets are in using your endpoint.
Does Together AI offer deployments in my own cloud?
Together's published docs describe VPC-based deployments, including EU regions, as an enterprise arrangement made through sales. Its self-serve product runs on Together's own infrastructure.