Confidential computing for GPU and general purpose workloads. Hardware-enforced blindness. Invisible to us, verifiable by you.
Get AccessNVIDIA Confidential Computing · Intel TDX · AMD SEV · Attestation on-chain
Trust Model
We built Wallfacer around a single principle: the infrastructure provider should never be able to observe customer workloads. Not by policy. By architecture.
Workloads execute inside hardware-enforced Trusted Execution Environments. NVIDIA H100/B200 confidential GPUs, Intel TDX and AMD SEV-SNP for CPU and memory isolation.
We cannot inspect your data, model weights, or inference traffic. The hardware enforces this, not our promise, not a policy document. Cryptographic boundaries, not trust boundaries.
Every TEE attestation proof is written to an immutable public ledger via Azure Confidential Ledger. Verify independently that your workload ran in a genuine confidential environment.
Submit your workload. We provision confidential VMs and GPUs from our multi-source pool.
Hardware generates a cryptographic attestation report. You verify the TEE is genuine before sending secrets.
Your code runs in an isolated enclave. Data is encrypted in memory. We see nothing.
Attestation proofs are anchored on-chain. Audit the ledger anytime. Tamper-proof, permanent record.
Capabilities
Confidential computing infrastructure with production-grade orchestration.
NVIDIA H100 and B200 GPUs with Confidential Computing enabled. Train and serve models with full memory encryption and hardware attestation.
Intel TDX and AMD SEV-SNP virtual machines. Full VM isolation with encrypted memory, secure boot chain, and remote attestation.
Managed confidential Kubernetes clusters. Schedule workloads across TEE-enabled nodes with familiar tooling and APIs.
Slurm-managed clusters for large-scale training jobs. Batch scheduling with confidential computing guarantees across multi-node runs.
We source GPU capacity from multiple providers and regions. Confidential computing is enforced uniformly regardless of where the silicon lives.
Attestation proofs recorded to Azure Confidential Ledger, an append-only, tamper-proof blockchain you can audit independently at any time.
Use Cases
When your models, data, or inference traffic cannot be exposed to anyone, including your cloud provider.
Train on HIPAA/PHI-sensitive datasets with hardware-level guarantees that no operator can access patient data.
Run proprietary trading models and risk analysis on confidential GPUs. Protect alpha from infrastructure providers.
Classified and sensitive workloads on commercial GPU infrastructure with cryptographic proof of isolation.
Protect model weights and training data. Your architecture and parameters stay invisible throughout the pipeline.
Multiple organizations contribute data to a shared model without any party, including Wallfacer, seeing the other's inputs.
Serve models where neither the query nor the response is visible to the infrastructure operator. End-to-end confidential.
Get Started
Tell us about your workload. We'll provision a confidential environment and walk you through attestation verification.