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Uncensored GPU-as-a-Service Platform

Updated July 24, 2026

Overview / Description

Uncensored GPU-as-a-Service Platform is an AI GPU inference service that delivers zero-censorship, zero-knowledge private inference for developers, researchers, and privacy-focused teams. The platform hosts uncensored open-source models — including LLaMA 4 Scout (128K context, 17B active / 109B total parameters), Dolphin Mixtral, and Abliterated v2 — all served through an OpenAI-compatible API, making integration into existing workflows straightforward.

What sets uncensored.codes apart from standard GPU clouds is its ZK-PI (Zero-Knowledge Private Inference) architecture. Prompts are encrypted on the user's device before transmission, decrypted only inside an Intel TDX or AMD SEV-SNP Trusted Execution Environment (TEE), and the GPU host never sees plaintext. The service also generates a cryptographic ZK attestation confirming which model ran on which prompt, so users can verify correctness without trusting the provider. No KYC is required, and payment is accepted exclusively in cryptocurrency or stablecoins.

For teams that need dedicated capacity, the platform offers isolated H100 80GB SXM nodes with guaranteed VRAM, no cold starts, and a 99.9% uptime SLA. Inference is ready in under 60 seconds after booking, and billing runs hourly — which makes it practical for burst workloads, agentic pipelines, and uncensored GPU inference tasks that cannot be run on filtered commercial APIs.

Used For

Running uncensored large language model inference without content filters or activity logs, for developers and researchers who need unrestricted AI outputs. Also used for privacy-critical agentic pipelines and coding workflows where prompt confidentiality must be cryptographically guaranteed.

Pricing

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Free

Pricing not published — contact sales

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Pros & Cons

Pros

  • Inference ready in under 60 seconds after booking with hourly billing
  • Zero-Knowledge Private Inference (ZK-PI): prompts encrypted on-device, never exposed as plaintext to the GPU host
  • TEE isolation via Intel TDX and AMD SEV-SNP prevents host-level access to inference sessions
  • OpenAI-compatible API across all available models, enabling drop-in integration
  • No KYC required; payment accepted in cryptocurrency and stablecoins

Cons

  • Pricing not published publicly — requires direct booking to see costs
  • Model selection is limited to a small catalog of uncensored open-source models; no proprietary frontier models
  • ZK proof of inference and full TEE isolation are phased — ZK-PI is live Q2 2026, TEE phase 2 targets Q3 2026, full ZK proof targets Q4 2026
  • No traditional credit card or fiat payment option

Questions & Answers

Alternatives

RunPod, Vast.ai, Lambda Labs, Together AI

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Uncensored GPU-as-a-Service Platform | AI Tools Directory