2025 was a strong year for @PonosTechnology. We continued pushing the boundaries of secure, fast, low-cost, and highly scalable ZK infrastructure, advancing the foundations of next-generation blockchain systems. 2025 highlights: 🔹 CryptoCPU — a high-performance computing platform built to accelerate blockchain validation and end-to-end ZK proving. 👉 Learn more: ponos.technology/blog/crypto… 🔹 Partnership with @ziskvm — together, we’re improving real-time proving efficiency and cost-effectiveness while reducing TCO (both CapEx and OpEx). We’re proud to be building infrastructure that enables scalable, efficient, and easy-to-use zero-knowledge technology. 👉 Learn more about our activities on the @PonosTechnology blog: ponos.technology/ Merry Christmas, and best wishes for a successful New Year! We’re excited to keep building in 2026. @PonosTechnology

📃 CryptoCPU: Making Zero-Knowledge Proofs Fast, Cost-Disruptive, and Scalable Zero-knowledge (ZK) proofs are expanding across use cases such as scalability, interoperability, verifiable off-chain computation, privacy, and cross-chain security, making ZK a natural architectural fit for next-generation blockchains. At the same time, Ethereum’s anticipated evolution toward RISC-V at the execution layer and ZK-based transformation of consensus will demand highly efficient compute structures to reduce operational expenses, cut proving latency, and unlock massive scaling while improving privacy, security, and decentralization. CryptoCPU addresses exactly these emerging needs. 🔗 👉 Learn more — full article: ponos.technology/blog/crypto… #ZeroKnowledge #ZKProofs #BlockchainInfrastructure #Scalability

📃 Tech Deep Dive: CryptoCPU – Powering FHE & ZKPs for Confidential Computing Verifiable and confidential computation is no longer a futuristic concept — it's here, and it's advancing rapidly. These technologies are beginning to solve some of the key barriers preventing large enterprises and FinTech companies from embracing public blockchain infrastructure at scale. They might also enable many use cases in traditional industries such as privacy-preserving cloud computing and machine learning. At the core of this transformation are two powerful technologies: Fully Homomorphic Encryption (FHE) and Zero-Knowledge Proofs (ZKPs). 🔗 Read the full article here: ponos.technology/blog/tech-d… @PonosTechnology #FHE #ZeroKnowledge #ZK #ConfidentialComputing #Blockchain #Crypto #Privacy #HomomorphicEncryption #Web3 #Hardware

ZisK has reached a major proving milestone for Ethereum. All Ethereum blocks are now being proven in real time, with an average proof time of about 7.5s

At @ethereum_sg 2025 @VitalikButerin says his long-term focus is on open and verifiable hardware, calling it a necessary precondition for everything else he’s been working on. “The hardware layer is difficult, but we must go there…” The shift toward hardware is underway — solutions like @PonosTechnology’s CryptoCPU are bringing fast, affordable, and seamless validation and proving to life. 👉 Learn more about CryptoCPU: ponos.technology/blog/crypto… @PonosTechnology

In the recent @eth_proofs Call #4, @stmilosh, CTO & Co-founder at @PonosTechnology, introduced the Ponos CryptoCPU. 🔗Listen to the full recording: youtube.com/watch?v=rJiEV7jJ…

The Skyline Bridge is almost here. A decentralized bridge between Apex Fusion and Cardano. Built for real assets, designed for speed, secured by design, optimized for efficiency, and ready to extend the UTXO frontier. Stay tuned.

Check out @eth_proofs Call #2 on real-time proving! Main topics: - Newly open-sourced zkVMs - Newly tracked zkVMs - EFer updates - Real-time proving - GPU/ASIC advancements @lukovics @stmilosh

A common misconception about ASIC-based platforms is that they are fixed, single-function computing devices that cannot be reprogrammed or adapted for various tasks without a complete redesign. While this is true for ASICs designed with very narrow, specific instructions—such as SHA-256 hashing for Bitcoin mining—these devices typically have minimal firmware and simple communication interfaces, focusing exclusively on a single dedicated task. Now, imagine extending an ASIC’s capabilities to support more complex workloads, like Google Cloud Tensor Processing Units (TPUs). These devices remain ASICs at their core but are managed by low-level firmware and enhanced with a custom-built, domain-specific compiler stack. This allows them to efficiently handle a wide range of AI model computations rather than being limited to a single function. Taking this concept further, consider integrating a full CPU into an ASIC chip along with specialized extensions for specific operations. In this case, rather than completely redesigning the firmware, we would only need to optimize mainstream compilers to support these extensions. The result? A powerful, programmable device that can be used as a server card or a standalone unit, capable of running high-level programming languages while benefiting from native, dedicated instruction sets. This approach enables significantly faster execution than traditional computing architectures—similar to how ARM-based Snapdragon processors optimize performance in mobile devices. In our case, we extend the well-established RISC-V processor, leveraging its robust tooling and strong community support. This allows compatibility with mainstream programming languages while incorporating dedicated hardware support for major cryptographic operations, such as signature verification, hashing, and NTT/FFT computations. The outcome is an unprecedented reduction in computation time and cost for key blockchain operations.

We’re excited to share that our collaborator, Lorenzo Grassi, has co-authored a groundbreaking paper to be published at CHES (Cryptographic Hardware and Embedded Systems), one of the most prestigious conferences in cryptography. The paper introduces Skyscraper, a new family of hash functions designed for large prime fields, that pushes the boundaries in zero-knowledge (ZK) friendly hashing. It significantly outperforms existing solutions like Reinforced Concrete and Monolith by achieving speeds comparable to cryptographic standards while minimizing computational overhead. For instance, Skyscraper can hash two 256-bit prime field elements in just 135 nanoseconds, compared to SHA-2’s 42 and SHA-3’s 196 nanoseconds. This innovation addresses critical bottlenecks in modern proving systems and reinforces @PonosTechnology's role at the forefront of ZK commoditization, driving efficiency and usability in the ZK ecosystem. eprint.iacr.org/2025/058