DeepSeek models deliver industry-leading reasoning and code completion economics, but official endpoints route proprietary source code through mainland Chinese datacenters subject to state surveillance laws. Through Regolo’s Custom Models infrastructure, European teams import any DeepSeek checkpoint directly from Hugging Face onto dedicated sovereign GPUs (Seeweb, Italy & EU) with certified Zero Data Retention, 15–35ms EU round-trip ping, and OpenAI-compatible API calls.
Certified zero data retention in RAM
DeepSeek weights run on dedicated European GPUs. Prompts and completions are processed strictly in volatile memory and never written to persistent disk storage or used for model retraining.
No overseas data transfers
Because computation stays within Seeweb datacenters in Europe (Italy, France, Germany), European engineering teams eliminate cross-border data transfer liabilities under GDPR Chapter V.
OpenAI SDK drop-in endpoint
Once deployed from Hugging Face, call your private custom DeepSeek endpoint using official OpenAI libraries via https://api.regolo.ai/custom-model/v1/ with zero code rewrites.
| Evaluation parameter | DeepSeek origin API (api.deepseek.com) | Regolo (EU sovereign custom model) |
|---|---|---|
| Legal entity & jurisdiction | Mainland China (Hangzhou / Beijing) | European Union (DHH Group / Seeweb, Italy) |
| Data privacy & logging | Subject to national data security storage | Certified Zero Data Retention (RAM-only) |
| Network round-trip ping from EU | 250ms – 400ms (Transpacific) | 15ms – 35ms (10x faster local connection) |
| GDPR Article 28 compliance | Non-compliant with standard EU DPA terms | Binding European DPA included with every plan |
| Model deployment mode | Public shared multi-tenant API | Private dedicated GPU hardware (no noisy neighbors) |
| Invoicing & currency | USD ($) international credit card billing | EUR (€) with EU electronic invoice |
# Step 1: Import DeepSeek model URL from Hugging Face in Regolo Dashboard
# Step 2: Deploy to your dedicated European GPU instance
# Step 3: Call your private endpoint using OpenAI SDK:
from openai import OpenAI
client = OpenAI(
api_key="YOUR_REGOLO_API_KEY",
base_url="https://api.regolo.ai/custom-model/v1/"
)
response = client.chat.completions.create(
model="YOUR_DEPLOYED_DEEPSEEK_MODEL_NAME",
messages=[
{"role": "user", "content": "Refactor this internal billing engine under European sovereign data governance."}
]
)
print(response.choices[0].message.content)Can European enterprises legally use DeepSeek open weights?
Yes. DeepSeek models are published under permissive open-weights licenses (MIT / commercial-use). The compliance risk associated with DeepSeek stems entirely from transmitting data to Chinese cloud infrastructure. Running DeepSeek on Regolo eliminates that risk entirely because computation occurs on European hardware governed by EU law.
What does Zero Data Retention mean for our proprietary code?
Zero Data Retention (ZDR) guarantees that incoming prompts, source code context, and model completions reside strictly in volatile GPU/CPU RAM during processing. Nothing is written to permanent storage, log files, or databases, and no user inputs are ever retained for model fine-tuning.
How does the 30-day free trial work for engineering teams?
You can sign up in under 60 seconds without entering a credit card. Your account is immediately credited with testing tokens to evaluate latency, tool-calling reliability, and model outputs in your local development environment or CI/CD pipelines.
How are DeepSeek custom models billed on Regolo?
Custom models deployed from Hugging Face on Regolo run on dedicated sovereign GPU instances billed on an hourly duration basis. You gain private dedicated vLLM performance, Zero Data Retention in European datacenters, and predictable monthly invoicing in Euro with electronic VAT receipts.