# ZPrize ### Setting the pace in ZK acceleration [**ZPrize**](https://www.zprize.io/) is the most respected competition focused on advancing zero-knowledge proof performance across hardware platforms. It brings together contributors from industry, academia, and open-source communities to push the limits of what’s possible in provable computation. **Snarkify is the only team in the industry to achieve six ZPrize wins in different categories**, consistently delivering top performance across GPU, FPGA, and browser-based proving. Our co-founder, [Niall Emmart](https://x.com/Niall_Emmart), played a key role in shaping ZPrize outcomes — open-source breakthrough approaches that have since been adopted and extended by many leading ZK teams. We’re proud to be part of the ZPrize initiative and to continue raising the performance baseline for the entire zero-knowledge community. ### Performance Highlights #### ZPrize 2022 * **1st place GPU MSM Acceleration:** [2.33× speedup over baseline](https://www.zprize.io/blog/announcing-zprize-results) * **1st place WASM MSM Acceleration:** [5.4× improvement in browser-based finite-field and elliptic curve operations](https://www.zprize.io/blog/announcing-zprize-results) #### ZPrize 2023 * **1st place WASM MSM Acceleration (BLS 12-377):** [Up to 150× faster than baseline](https://www.zprize.io/blog/announcing-the-2023-zprize-winners) * **1st place WASM MSM Acceleration (Twisted Edwards):** [\~136× faster than baseline](https://www.zprize.io/blog/announcing-the-2023-zprize-winners) * **1st place FPGA MSM Acceleration:** [>99% pipeline efficiency with a batched affine pipeline design](https://www.ingonyama.com/post/deep-dive-into-the-latest-msm-hardware-implementation) * **1st place End-to-End zkSNARK GPU Proving:** [0.54 seconds per proof, \~900× speedup over CPU baseline](https://hackmd.io/@Cysic/SJxWcI4R1ye) All of our work was open-sourced, reproducible, and focused on real-world relevance for zero-knowledge systems. ### Our take on achieving real-time proving Snarkify’s recent ZPrize results in end-to-end proving show that real-time zkSNARK generation is no longer theoretical — it’s an achievable milestone, made possible through thoughtful system design and engineering. This progress opens the door to new possibilities in on-chain validity proofs, blockchains’ interoperability, and broader zero-knowledge innovation. Through extensive work across hardware environments, we’ve come to a clear conclusion: GPUs offer the most practical and scalable path to real-time proving today. Their combination of performance, programmability, cost-efficiency, and continuous advancements makes GPUs well-suited for the evolving demands of zero-knowledge infrastructure. For more on our perspective and why we’re betting on GPUs to power the future of ZK proving, read our [full thread](https://x.com/Snarkify_ZKP/status/1858584102842364402). --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://docs.snarkify.io/high-performance-zkp/zprize.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.