01
Byte-for-byte streaming
Tokens leave the moment they are generated, never accumulated and re-serialized. Time to first token stays what the GPU produced.
Nyx serves open-weight models on tuned GPU capacity behind one OpenAI-compatible endpoint. Byte-for-byte streaming, 71µs of routing overhead at p50, and every model priced under its cheapest listing.
Powering inference for
Frontier open-weight models, serverless by default. Prices in USD per million tokens, published live at /v1/models, and always under the cheapest listing for the model.
Weekly benchmark runs on gpt-oss-120b, same prompts, same
day, against the three largest serverless providers for the model.
output tokens per second, higher is better
USD per million tokens, lower is better
Streaming enabled, 1K-token prompts, 512-token completions, us-east clients.
Every request rides a serving layer measured in microseconds, in front of tuned GPU capacity. The properties below are measured on every build, and a release that regresses one does not ship.
01
Tokens leave the moment they are generated, never accumulated and re-serialized. Time to first token stays what the GPU produced.
02
Capacity fails over transparently before generation starts. A stream is never spliced together from two completions.
03
Past declared capacity Nyx answers immediately instead of queueing requests into timeouts, so your retries land somewhere useful.
04
The serving layer adds 71µs at p50 and 235µs at p99, published and regression-tested. Latency budgets stay with your model.
Usage, spend, latency, and per-request logs in the console, live as the tokens stream. Export everything; it is your traffic.
Reserved GPU capacity behind the same endpoint, tuned to your model and traffic and isolated from public load. Set up in under 24 hours, backed by an SLA.
Explore dedicated
Point any OpenAI SDK at https://nyxprovider.com/v1 and go.
Streaming is byte-for-byte; responses match the schema you already
parse.
curl https://nyxprovider.com/v1/chat/completions \
-H "Content-Type: application/json" \
-d '{
"model": "gpt-oss-120b",
"stream": true,
"messages": [{"role": "user", "content": "Hello"}]
}'
One endpoint, open models, prices under every listing. Your first key takes about a minute.