Self-hosted inference for enterprises

A force multiplier for your GPU cluster

Run the Subconscious inference system on your own GPUs. A drop-in replacement for vLLM or SGLang for more efficient and capable inference.

Talk to us about a deployment Estimate your savings

Same GPUs, more agents in flight

1.0×concurrent workloads

1.0×

Your cluster today

+0.0×

Unlocked by Subconscious

Neutral-to-positive on accuracy
No external calls, ever
Installed and supported by our team

2.3×
Concurrent workloads: More agents in flight on the same fleet; 3.5×
Faster token throughput: At 200k tokens of context vs vLLM; 5M+
Token context window: Past the base model limit via KV compression; Billions
Tokens served per day: An always-on API, not pay-per-token

Why enterprises self-host

Take control of your economics, product, and data.

Concurrency

A force multiplier for your fleet

Agent runs are memory-bound. With our context compression and caching, the same GPUs can handle far more concurrent work. More output per GPU-hour means better economics.

Developer experience

Open models, enhanced

Faster token throughput, a context window past five million tokens, and even an accuracy gain. The best way to run open models for agentic work.

Privacy & control

100% inside your cloud

The entire system runs on your resources: no external calls, no pings. Your IP and data never leave your perimeter.

Abundance mentality

A built-in R&D budget

An always-on cluster can serve billions of tokens a day. The marginal token is free, so teams experiment like the budget is unlimited.

Licensing

Terms you can put in a spreadsheet

No per-token math, no GPU-type tiers. One number times your GPU count.

Talk to us about a demo

Pricing model: Annual fee per GPU
Any fleet size: Run on 1 or 10,000 GPUs
GPU types: Any
Operations: Installed and supported by our team

Fleet savings calculator

See the savings yourself.

Pick the GPU price you pay and the size of the deployment. The estimate assumes our runtime serves the same traffic on half the GPUs.

Estimate your savings

GPU price, per hour

≈ H100

≈ B200 / B300

Deployment size, GPUs

Standard inference infrastructure

$186,880/mo

With Subconscious

$116,800/mo

50% the GPUs + our per GPU pricing*

You save

$70,080/mo

38% lower per month

* An estimate of our cost per node using our inference system, which covers everything we provide: our inference system, a routing gateway and supporting infrastructure, a frontend for API key management and usage monitoring, and dedicated setup and support from our team of world-class AI researchers.

Bring your fleet size and GPU pricing. We will scope a deployment and put real numbers against this estimate.

Talk to us about a deployment