io.net and NovaNet Collaborate to Launch Zero-Knowledge GPU Verification

An announcement has been made about a strategic relationship between io.net, the DePIN that provides access to high-performance GPU clusters, and NovaNet, which is the decentralized network for zero knowledge proofs (ZKP). Through the partnership, the security and dependability of decentralized computing will be improved, and cryptographic guarantees will be implemented.

NovaNet is a decentralized incentive network that uses zero knowledge proofs to provide locally verifiable computations while protecting users’ privacy. The folding scheme-based zkVM that it offers is at the vanguard of ZKP technology. It enables proofs that are safe, transparent, and memory-efficient, therefore protecting user data while still offering strong cryptographic assurances of legitimate computation.

An advanced solution that will give cryptographic guarantees that GPU resources on io.net are authentic and perform as claimed will be the primary emphasis of the cooperation. This solution will be known as zero knowledge GPU Identification (zkGPU-ID). Through the use of NovaNet’s powerful ZKPs, it will be possible to guarantee that the computing resources offered by io.net providers are completely verified, safe, and satisfy the performance standards that have been declared.

Through the use of zkGPU-ID, io.net and NovaNet will build a system that will verify that the specs of the GPU match or surpass the performance that has been reported. This will allow for increased dependability and transparency within the decentralized computing landscape.

Tausif Ahmed, io.net VP of Business Development, said:

“Building a permissionless and enterprise-ready decentralized compute network requires optimizing co-ordination and verification across a massive group of distributed GPU suppliers. With NovaNet’s zkGPU-ID, we can increase our ability to continuously validate and test our network of GPUs at a global scale. By partnering with NovaNet and layering their solution on top of our internal verification mechanisms, we are ensuring that our customers can rest assured that the GPUs they are renting from io.net are reliable, trusted and exactly what they asked for.”

Wyatt Benno, Technical Co-Founder of NovaNet, added:

“For privacy and local verifiability, it is essential that ZKPs can run on many different types of devices and in various contexts. Using NovaNet’s zkVM will support a safe and secure way to identify GPUs using only software. The resulting cryptographic proofs can be cheaply verified by anyone.”

The operation of the zkGPU-ID process is accomplished by executing a customized protocol for GPUs across a secure software channel that is supported by zkVM. A ZKP is produced as a result of this, which indicates that the specifications of a GPU meet or surpass the lowest boundaries of its proposed performance. To properly test and identify graphics processing units (GPUs) throughout the io.net platform, this protocol makes use of NovaNet’s zkVM, also known as the zkEngine. Protection against manipulation is provided by the fact that any effort to reroute the process or interfere with it would result in an invalid or degraded evidence.