Privacy-Preserving Compute
Dedicated hardware acceleration for fully homomorphic encryption, enabling computation on encrypted data without ever decrypting it. Process sensitive information in untrusted environments while maintaining complete mathematical privacy guarantees.
Perform arbitrary computations on encrypted data without decryption. The data owner retains sole access to plaintext while the compute provider processes only ciphertexts and produces encrypted results.
Dedicated large-degree polynomial multiplication engine purpose-built for the massive polynomial rings used in FHE. Orders of magnitude faster than software implementations for practical encrypted computation.
Supports three leading FHE schemes: CKKS for approximate arithmetic on encrypted real numbers, BFV and BGV for exact arithmetic on encrypted integers — covering the full range of privacy-preserving workloads.
| Parameter | Value |
|---|---|
| FHE Schemes | CKKS, BFV, BGV |
| Polynomial Degree (N) | 4,096 – 65,536 |
| Modulus Width | Up to 1,600+ bits |
| Key Operations | Add, Multiply, Rotate, Bootstrap |
| Parallel Channels | Configurable (8 – 64) |
| On-Chip Memory | Configurable (256 KB – 4 MB) |
| External Memory | High-bandwidth DDR/HBM interface |
| Target Frequency | 200+ MHz (node dependent) |
Contact our team for evaluation access, FHE performance benchmarks, or custom accelerator configurations for your privacy-preserving workloads.