Nimbo Turbine · Token API

Turn GPUs into tokens.

Nimbo Turbine serves leading open models behind one OpenAI-compatible API. Pay per token, move to a dedicated endpoint when traffic is steady, and fine-tune without managing a GPU. No MLOps team required.

Two-line migration

Change the base URL. Keep your code.

The API follows the OpenAI Chat Completions and Embeddings formats, so the SDKs, frameworks and agents you use today work unchanged.

  • Streaming, tool calling and JSON modeSupported on models that support them.
  • Data stays out of trainingPrompts and outputs are never used to train models. Zero-retention is available per key.
  • Region pinningChoose where requests are served: Nimbo regions or your own hardware through Fleet.
from openai import OpenAI

client = OpenAI(
    base_url="https://api.nimbokinetics.com/v1",
    api_key=os.environ["NIMBO_API_KEY"],
)
resp = client.chat.completions.create(
    model="qwen3-235b-a22b",
    messages=[{"role": "user", "content": "Summarise this contract"}],
)
OpenAI-compatible
Voice models

Speech in, speech out, on the same API

Transcribe calls and meetings, then read answers back in a natural voice. Voice runs on the same keys, regions and bill as text models, and powers the Nimbo Secure copilot.

ModelTaskPrice
Whisper Large v3Speech to text, 99 languages$0.003 / audio minute
Whisper Large v3 TurboLow-latency transcription$0.0015 / audio minute
Kokoro-82M TTSText to speech, streaming$15 / 1M characters
Three ways to serve

Pay for tokens until a dedicated endpoint is cheaper

Serverless

Per token

Shared, autoscaled endpoints for popular open models. Best for prototypes and spiky traffic.

from $0.14 / 1M input tokens

Dedicated

Per GPU-hour

Your model on reserved GPUs with vLLM or TensorRT-LLM. Predictable latency, no noisy neighbours, autoscaling within your reservation.

from $2.99 / GPU-hour

Hybrid

On your hardware

The same API served from your own GPUs through Nimbo Fleet, with overflow to Nimbo. One rate card, one set of keys.

platform fee per GPU, quoted

Rule of thumb: a dedicated endpoint pays off once sustained traffic keeps a GPU above roughly 40 to 50% busy. We will run that math with your traffic.

Fine-tuning

Bring data, get an endpoint

Upload a dataset, choose LoRA or full fine-tuning, and deploy the result to a dedicated endpoint in the same account. Your weights are yours to export.

LoRA and QLoRA

Fast, low-cost adaptation for most enterprise tasks.

Full fine-tuning

Multi-node runs on InfiniBand clusters for larger changes.

Evaluations

Compare base and tuned models on your own test set before you ship.

Exportable weights

Download adapters and merged weights. No lock-in.

Your first million tokens, today.

Create a key, change one URL, and see your workload running on Nimbo before you talk to anyone.