Confidential AI

Sovereign AI infrastructure, from model to output.

GPU-accelerated inference, fine-tuning, and agentic workloads with hardware-enforced privacy — natively integrated into every Modelyo deployment. Run any model at enterprise scale with cryptographic guarantees.
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Confidential GPU Compute
NVIDIA H100 and A100 GPUs with Confidential Computing support. Model weights and activations are encrypted in VRAM.
Privacy-Preserving Inference
Input data never leaves the TEE during inference. Only the output is returned — your inputs remain cryptographically private from the infrastructure and Modelyo.
Model Integrity Attestation
Every model artifact is signed and its hash recorded. Attestation proves the exact model version running at inference time.
Multi-Cloud, Multi-VM Workspaces
Combine CPU and GPU workloads across cloud providers in a single confidential workspace. Run AI on Neo Cloud GPUs while your data services run on GCP or Azure — all within the same attested boundary.
Bring Your Own Model
Deploy vLLM and run any open-source or proprietary model inside your confidential workspace. Bring your own weights, use open-source models, or fine-tune on sensitive data within the encrypted boundary.
Confidential AI Agents
Host open-source agent frameworks inside TEEs. Agent memory, credentials, and tool calls stay encrypted — preventing memory poisoning, credential theft, and unauthorized actions.
The AI sovereignty problem- solved.

Enterprises in regulated industries cannot run AI on standard cloud infrastructure. Patient records, financial transactions, and national security data cannot pass through shared GPU memory.

Modelyo's AI Runtime creates an isolated execution environment where your data enters, inference occurs, and only the output leaves — all verifiable with cryptographic attestation before, during, and after each inference request.

Attest the runtime
Verify the GPU TEE, driver version, and model hash before any data is submitted.
Submit encrypted input
Client-side encryption ensures data is decrypted only inside the attested TEE.
Inference in isolation
Model runs with no network egress, no operator access, no side-channel.
Receive attested output
Output includes a signed attestation proving which model produced it and from which inputs.
GPU as a Service · Burst Compute

Confidential GPU bursting - inference and training on demand.

Scale GPU capacity instantly for inference spikes or training runs — fully encrypted, with the world's best open and proprietary models available natively. No data ever leaves the TEE.
Encrypted inference bursting
Spin up H100 / A100 clusters on demand for LLM serving with zero trust violations.
Confidential fine-tuning and training
Run LoRA, full fine-tuning, or pre-training on sensitive datasets with hardware-enforced privacy.
Sovereign context for any model
Deploy open-source models inside your confidential workspace, or connect to external APIs while keeping your RAG, embeddings, and knowledge base encrypted and sovereign. Your sensitive data never reaches the model provider.

Ready to take sovereign control of yourinfrastructure?

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