Global GPU Compute
H100 and A100 clusters across 14 regions. Scale from one node to thousands in seconds.
Enterprise AI Automation ✦ 99.9% Uptime
Deploy custom LLMs, configure GPU clusters, and route high-volume API requests with zero latency.
H100 and A100 clusters across 14 regions. Scale from one node to thousands in seconds.
Private networking, encrypted weights and full audit logs.
SOC 2 Type IIRequests reach the nearest healthy node with automatic failover.
Swap models, set fallbacks and cap spend with a single request. Pick your language and start routing.
import TensorOps from "tensorops"; const client = new TensorOps({ apiKey: process.env.TOPS_KEY }); const res = await client.route({ model: "llama-3-70b", fallback: ["mixtral-8x22b"], messages: [{ role: "user", content: "Hello!" }] }); console.log(res.choices[0].message);
import os from tensorops import TensorOps client = TensorOps(api_key=os.environ["TOPS_KEY"]) res = client.route( model="llama-3-70b", fallback=["mixtral-8x22b"], messages=[{"role": "user", "content": "Hello!"}], ) print(res.choices[0].message)
We moved our inference traffic over in an afternoon. Failover just works.
Fine-tuning runs went from a week of babysitting to a single config file.
Our security review passed first time thanks to the audit logs and private networking.
$49/mo
$299/mo
Custom
Any open-weight LLM, plus your own fine-tuned checkpoints. Popular models are one command away.
Plans include a request and GPU-node allowance. Usage beyond that is billed per request.
No. Your data and weights stay in your private environment.