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Version: 3.6.0

Welcome to Ingonyama's Developer Documentation

Ingonyama is a next-generation semiconductor company building hardware accelerators for high-speed cryptography. We design custom architectures that enable real-time performance for advanced cryptographic workloads. Our mission is to democratize access to compute-intensive cryptography, making it easy and accessible for developers to build the future of secure applications.

Our flagship product is ICICLE

ICICLE v3​

ICICLE is a versatile cryptography library supporting multiple compute backends—including CUDA, CPU, Metal, and upcoming backends like WebGPU, Vulkan, and ZPU. Originally focused on GPU acceleration, ICICLE has evolved into a backend-agnostic framework for cryptographic acceleration. It enables you to build ZK provers and other cryptographic applications with ease, leveraging the best available hardware for your needs.

  • Multiple Backend Support: Develop on CPU and deploy on various backends including CUDA, Metal, and eventually WebGPU, Vulkan, ZPU, or even remote machines.
  • Cross-Language Compatibility: Use ICICLE across multiple programming languages such as C++, Rust, Go, and possibly Python.
  • Optimized for ZKPs: Accelerate cryptographic operations like elliptic curve operations, MSM, NTT, Poseidon hash, and more.

Learn more about ICICLE and its multi-backend support here.

Our Approach to Hardware Acceleration​

We believe GPUs are as essential for ZK as they are for AI.

  • Parallelism: Around 97% of ZK protocol runtime is naturally parallel, perfect for GPU architectures.
  • Developer-Friendly: GPUs offer simpler scaling and tooling compared to other hardware platforms.
  • Cost-Effective: GPUs strike an ideal balance of performance and price—often 3× cheaper than FPGAs.

For a more in-depth understanding on this topic we suggest you read our article on the subject.

Get in Touch​

If you have any questions, ideas, or are thinking of building something in this space, join the discussion on Discord. You can explore our code on github or read some of our research papers.

Follow us on Twitter and YouTube, or join us IRL at our next event.