Tailored inferencefor AI‑native teams

Run open models fast and reliably in production, with an inference partner that tunes them to your traffic.

Try it free Try the calculator

Why tailored

One-size setups cost you speed, quality, or money

Tailored inference fits the model and how it's served to your traffic, so you get all three.

Talk to an engineer

We study your traffic

Support chat. The same instructions open every request, and answers must start fast.

We tune the setup to it

Model

Quality barOne-size

SmallerLarger

Batching

Fastest responsesLowest cost per token

Prefill / decode

Input-heavyOutput-heavy

You get better rates

Better rate per token
Your quality bar, met
Answers start fast

Example workload

Model library

The most popular open models, served fast

Get started in seconds with our drop-in APIs.

View all models Explore on Vercel

Service-level agreements

Choose the SLA your product needs

We test your target on your real traffic for free, then write it into your contract.

Talk to an engineer Explore tailored inference

01UptimeSet how much of the time your endpoint stays available.
02ThroughputSet the tokens per second your agents and pipelines must sustain.
03LatencySet how fast the first token arrives in chat, copilots, and voice.

Cost estimator

See your monthly bill before you talk to us.

Your monthly bill

New input$10,368

Repeated input$518

Output$25,920

Model

Output tokens per second

Across all your traffic

Repeated input

0100

50%

Share of each prompt that repeats, billed at a lower rate

Examples

Send us this setup

Running another model? We'll benchmark open models on your workload against it. Request a benchmark →

Our engineers pick the model for your workload, tune how it runs, and keep running it as your traffic and the best models change.

Our engineers pick the model for your workload, tune how it runs, and keep running it as your traffic and the best models change.

Synthetic dataEvalsLong-horizon jobsAgent rolloutsBatch processing

Step 1

Test it on your traffic

In a free 2–4 week evaluation, we run your real requests against your current provider and pick the model that meets your quality bar.

Synthetic dataEvalsLong-horizon jobsAgent rolloutsBatch processing

• Step 1

Test it on your traffic

In a free 2–4 week evaluation, we run your real requests against your current provider and pick the model that meets your quality bar.

[ Precision ][ Parallelism ][ Prefix caching ][ Batching ][ Routing ][ Hardware fit ]

Step 2

Tune how it's served

Our engineers set up caching, batching, and hardware for your traffic, so responses stay fast as you grow.

[ Precision ][ Parallelism ][ Prefix caching ][ Batching ][ Routing ][ Hardware fit ]

• Step 2

Tune how it's served

Our engineers set up caching, batching, and hardware for your traffic, so responses stay fast as you grow.

[ GLM-5.3 ][ DeepSeek V4.1 Flash ][ MiniMax M3 ][ Qwen3.8 Flash ][ Kimi K3 ]

Step 3

Keep it improving

We run it in production, retune it as your traffic changes, and move you to a better model when one ships.

[ GLM-5.3 ][ DeepSeek V4.1 Flash ][ MiniMax M3 ][ Qwen3.8 Flash ][ Kimi K3 ]

• Step 3

Keep it improving

We run it in production, retune it as your traffic changes, and move you to a better model when one ships.

Tailored inference.

FAQ

Questions teams ask before they switch

Can we switch without rewriting our code?

Yes. The Boundless API works with the OpenAI and Anthropic SDKs, so switching means changing the base URL, the API key, and the model name.

Are open models good enough for our use case?

It depends on the task, so we test before you move: our engineers benchmark the models that fit your quality bar on your own requests, and you decide from the results.

What's the difference between the API and tailored inference?

The API serves models we've already tuned, on shared capacity, billed per token. Tailored inference sets capacity aside for your traffic, with engineers who tune it to your targets.

What does the free evaluation include?

For production workloads, we run a free 2–4 week evaluation: we agree on targets with your team, test your real traffic against your current provider, and you decide from the results.

Where does our data go?

We keep zero data retention, so prompts and outputs aren't stored, and your requests can run in the US or Europe.

If something breaks, can we talk to a person?

Yes. Tailored inference customers work directly with the Boundless engineers who set up and run their serving.

How does billing work?

You pay per token from prepaid credits. Requests stop when credits run out, so there are no surprise bills, and you can set a budget for each API key.

How do we get started?

Fit

Is Boundless right for your team?

Boundless is for AI-native teams running open models in production that need more from their current provider. If that sounds like you, we'll run a free 2–4 week evaluation on your traffic.

Talk to an engineer

[ Fit 01 ]

Open models already serve real traffic in your product.

[ Fit 02 ]

Your current provider falls short on rate limits, throughput, or uptime.

[ Fit 03 ]

Inference is a meaningful line in your cost base.

[ Fit 04 ]

You have an engineer who can run a side-by-side comparison.

Fit

Is Boundless right for your team?

Boundless is for AI-native teams running open models in production that need more from their current provider. If that sounds like you, we'll run a free 2–4 week evaluation on your traffic.

Talk to an engineer

[ Fit 01 ]

Open models already serve real traffic in your product.

[ Fit 02 ]

Your current provider falls short on rate limits, throughput, or uptime.

[ Fit 03 ]

Inference is a meaningful line in your cost base.

[ Fit 04 ]

You have an engineer who can run a side-by-side comparison.

Tailored inferencefor AI‑native teams