Every GPUon Earth,workingas one.

# submit a batch inference job
curl https://api.decentralizedcompute.company/v1/jobs \
  -H "Authorization: Bearer $TDCC_API_KEY" \
  -d '{
    "type": "inference.batch",
    "model": "llama-3.1-8b-instruct",
    "input_uri": "s3://acme-eval/prompts.jsonl",
    "accept": { "min_verifications": 2 },
    "budget": { "max_usd": 40 }
  }'

from tdcc import Client

client = Client(api_key=os.environ["TDCC_API_KEY"])
job = client.jobs.create(
    type="finetune.lora",
    base_model="qwen2.5-7b",
    hardware={"min_vram_gb": 48},
    budget={"max_usd": 120},
)
client.jobs.wait(job.id)
print(job.receipt.status)

import { TDCC } from "@tdcc/sdk";

const tdcc = new TDCC({ apiKey: process.env.TDCC_API_KEY });
const job = await tdcc.jobs.create({
  type: "embeddings",
  model: "bge-large-en-v1.5",
  accept: { minVerifications: 2 },
});
for await (const ev of tdcc.jobs.stream(job.id)) console.log(ev.stage);

# authenticate once per machine
tdcc login

# submit and follow
tdcc jobs submit ./job.yaml --watch
tdcc jobs logs job_8fq2c1 --follow

# inspect capacity and proof of work
tdcc hosts list --region eu-central --min-vram 48
tdcc receipts show job_8fq1za --verify