Inference Infrastructure
GoCreative AI operates self-hosted LLM inference on NVIDIA GPUs and serves it through an OpenAI-compatible API. This page documents the endpoint, its measured performance, pricing, and our data-handling policy.
Endpoint
| Base URL | https://llm.gocreativeai.com/v1 |
|---|---|
| Models | GET /v1/models — returns pricing, context length, datacenter location, throughput capacity, supported features |
| Completions | POST /v1/chat/completions — OpenAI-compatible, SSE streaming |
| Serving stack | vLLM, continuous batching, paged KV-cache, prefix caching |
| Region | us-central1 (additional regions on request) |
curl https://llm.gocreativeai.com/v1/chat/completions \
-H "Content-Type: application/json" \
-d '{"model":"qwen/qwen3-8b","messages":[{"role":"user","content":"Hello"}],"max_tokens":64}'
Measured performance
Benchmarked on our own hardware. These are measured figures, not vendor specifications or projections.
| Metric | Value | Conditions |
|---|---|---|
| Sustained output throughput | 6,924 tokens/sec | concurrency 200, NVIDIA RTX PRO 6000 Blackwell |
| Errors across the sweep | 0 | concurrency 32 to 200 |
| End-to-end latency | 283–534 ms | measured through the public URL, warm |
| Reported capacity | 290,808 input tokens/min | quoted at 70% of measured peak, deliberately conservative |
We report capacity below measured peak on purpose. Peak was achieved in a clean benchmark; production traffic is messier. Advertising a number we cannot hold in production would produce timeouts, which serves no one.
Pricing
| Model | Input | Output | Context |
|---|---|---|---|
| qwen/qwen3-8b (GPTQ-Int4) | $0.150 / 1M tokens | $0.301 / 1M tokens | 8,192 |
Live pricing is always served from /v1/models and is authoritative over this page.
Data handling and retention
Zero data retention. We do not store prompts or completions.
- Request and response content is never written to disk. The inference engine runs with request logging disabled.
- Our metering ledger records only: request ID, model name, input token count, output token count, latency, and price. No message content, at any layer.
- No training on customer traffic. We do not fine-tune, evaluate, or otherwise use inference traffic to improve models.
- No third-party sharing. Request content is not transmitted to any party beyond the GPU serving the request.
- Retention period for metadata: token counts and timing are retained for billing reconciliation and are not linked to request content, because no content exists.
Because no request content is retained, inference traffic through this endpoint holds no personal data at rest. We are happy to execute a Data Processing Agreement.
Reliability
- Availability is sampled automatically every 10 minutes against the public URL and logged.
- The endpoint reports drain state, so upstream routers can reroute cleanly rather than receiving errors.
- Every response — streaming and non-streaming — carries a unique
Inference-Idheader for independent billing reconciliation. usagetoken counts are returned on both streaming and non-streaming responses.
Integration
The API is OpenAI-compatible, so any client that speaks the OpenAI Chat Completions format works without modification — including the OpenAI SDKs, LiteLLM, and standard gateway software. Point the base URL at https://llm.gocreativeai.com/v1
Contact
Partnership, routing, and capacity enquiries: contact@gocreativeai.com