Two Paths for Encrypted Computation
CKKS vs. TFHE
CKKS
- Ideal for AI workload.
- Excels for data-heavy tasks.
- Parallelized operations on multiple values.
- GPU‑accelerated.
FHE Applications
FHE Software Stack
Algorithms
Core Building Blocks
TFHE
- Ideal for secure voting or blockchain logic.
- Excels at exact computation.
- Bootstrapping by design.
- CPU-based.
Under the Hood: Sunscreen and Lattica
Lattica
Deploys and Operates
- Orchestration and workflow automation
- Query Clients
- Computer resource allocation
- Management and monitoring
Sunscreen Compiler
Compile your program
Lattica
Management Client
-
Create a key set
-
Encrypt
-
Decrypt
Program Owner
Deploy Compiled Program
Deploy Evaluation Key
Encrypted Query
Encrypted Response
TFHE Engine
(Cloud)
Lattica powers Sunscreen's encrypted compute flow and returns the encrypted response
Sunscreen
The TFHE Engine
- Encrypted computation at the language and compiler level: TFHE Compiler (Parasol)
- TFHE runtime for encrypted programs
- See Sunscreen demos...
Get Started
Run TFHE Programs with Lattica and Sunscreen
Step 1
Compile with Sunscreen
Compile your TFHE program locally with Sunscreen and produce the deployable artifact.
Step 2
Deploy your compiled program
Upload and deploy your compiled artifact.
Step 3
Configure access and resources
Set permissions, choose resources, and control credit usage.
Step 4
Your program is now ready for use
Click and learn more about running encrypted queries.
TFHE and CKKS are commonly used names for a family of FHE algorithms.
