Slobodan Lukovic

CEO @PonosTechnology

[Slobodan Lukovic @lukovics]

@luhelminger @FabricCrypto @cysic_xyz @PonosTechnology Sure! more info: https://t.co/W0GUyvdj5m.
Currently, we're working on a home-proving server (FPGA-based) with ZisK and the EF. This would serve as a demonstrator of the efficiency of our future ASIC solution.. If interested we can jump on a call

[Slobodan Lukovic @lukovics]

@luhelminger @FabricCrypto @cysic_xyz Don't know for others but @PonosTechnology is building it's CryptoCPU not only to accelerate but to improve cost efficiency of ZK protocols computation. We can talk about that :)

[Slobodan Lukovic @lukovics]

🎤 Excited to speak at EthCC [9] this year.
I’ll be introducing:
CryptoCPU — a solution for Ethereum’s cost-effective, post-quantum-secure ZK future.
🗓 April 2, 10:20 AM
Burton Stage#EthCC
#Ethereum #ZK #PostQuantum #RiscV #CryptoHardware #Web3

[ziskvm @ziskvm]

🚀 ZisK v0.16 is live!

This release brings major performance improvements and new architectural capabilities as we move closer to ZisK v1.0.

🔗 Release notes: https://t.co/0KIvRZAclD
Highlights 👇

[Slobodan Lukovic @lukovics]

AI. Quantum. Trump.
That pretty much summed up Davos #WEF2026.
Fingers crossed for a kinder, smarter future 🤞

[Slobodan Lukovic @lukovics]

Wishing you all a Happy New Year and continued success ahead! 🚀

[Ponos Technology @PonosTechnology]

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: https://t.co/EzhawPY3Jn

🔹 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: https://t.co/8vItEqNsGX

Merry Christmas, and best wishes for a successful New Year!

We’re excited to keep building in 2026.

@PonosTechnology

[Slobodan Lukovic @lukovics]

I'm at #ETHProofDay at @EFDevcon and thrilled to say @PonosTechnology is pushing real-time Eth block proving forward, a breakthrough that could unlock new use cases and become a foundation for next-gen FinTech. Huge congrats to our partners at @ziskvm for the amazing progress! 🚀

[Ponos Technology @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: https://t.co/AsEDR2cPem

#ZeroKnowledge #ZKProofs #BlockchainInfrastructure #Scalability

[Slobodan Lukovic @lukovics]

Privacy is emerging as a crucial layer on top of execution and consensus, unlocking entirely new blockchain use cases. But to make this future efficient, fast, secure, and affordable, we need innovations like CryptoCPU.

[Ponos Technology @PonosTechnology]

📃 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: https://t.co/vmVOBu24cv

@PonosTechnology
#FHE #ZeroKnowledge #ZK #ConfidentialComputing #Blockchain #Crypto #Privacy #HomomorphicEncryption #Web3 #Hardware

[Slobodan Lukovic @lukovics]

Incredible milestone by @jbaylina and the @ziskvm team! 👏
Thrilled that Ponos Technology is contributing to the journey of commoditizing ZK and turning it into a mainstream breakthrough

[ziskvm @ziskvm]

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

[Ponos Technology @PonosTechnology]

🤝.@PonosTechnology is partnering with @ziskvm to advance real-time proving efficiency and cost-effectiveness — optimizing performance while lowering CapEx and OpEx.

Together, we’re building infrastructure that supports the next generation of scalable, developer-friendly zero-knowledge technology.

[Ponos Technology @PonosTechnology]

📃 We’re thrilled to announce that our collaborator, Lorenzo Grassi, has co-authored a new paper, "Poseidon2b: A Binary Field Version of Poseidon2". This work underscores @PonosTechnology’s commitment to advancing zero-knowledge (ZK) cryptography and driving its evolution toward mainstream adoption.

Poseidon2b is a version of Poseidon2 defined over binary extension fields, specifically designed to inherit many of the circuit-friendly properties of its prime field version and to be used with binary extension field proving systems such as Binius. Benchmarking highlights its advantages in proof size, proving time, and especially verification time.

The paper revisits recent attacks on Poseidon and Poseidon2, discussing their applicability in the binary extension field setting. It also analyzes attack vectors that were not applicable in the prime field setting, with a particular focus on algebraic cryptanalysis and subspace trails—techniques which resulted in attacks on initial versions of Poseidon defined over binary extension fields.

By keeping pace with cutting-edge research, this work furthers the ZK evolution, enhancing efficiency and usability to make ZK technology more accessible.

🔗 👉 Explore the full paper here: https://t.co/Ut9a0gkmKb

@PonosTechnology #ZeroKnowledge #Cryptography #Poseidon2b

[Slobodan Lukovic @lukovics]

Yes, we’re right there, at the very core of innovation

[Ponos Technology @PonosTechnology]

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: https://t.co/EzhawPY3Jn

@PonosTechnology

[Slobodan Lukovic @lukovics]

Excited to be at the forefront of innovation, working at the very core of the new financial system alongside industry leaders such as @VitalikButerin, @BruestleJeremy. Huge congratulations to @stmilosh for his outstanding contribution to @eth_proofs Call #4!

[Ponos Technology @PonosTechnology]

In the recent @eth_proofs Call #4, @stmilosh, CTO & Co-founder at @PonosTechnology, introduced the Ponos CryptoCPU.

🔗Listen to the full recording: https://t.co/mEqDN7xndb

[Skyline @skyline_bridge]

🚀.@skyline_bridge is almost here.
Get ready for the next step in seamless cross-chain interoperability.

Developed by the team at @ethernal_tech and powered by @blade_bc_tech, @skyline_bridge connects @ApexFusion’s Prime chain to @Cardano_CF, and extends even further — to @ethereum, @0xPolygon, @Polkadot, @cosmos, @ton_blockchain, and @solana.

🔗Leveraging advanced multi-signature UTXO-based validation, decentralized oracles, and optimized batch processing, @skyline_bridge enables secure, efficient, and cost-effective cross-chain asset transfers.

🌉@skyline_bridge is more than a connection — it’s a foundation for an interoperable Web3 future.

Stay tuned.

[Slobodan Lukovic @lukovics]

Honored to speak at #ZKdayBelgrade and showcase our CryptoCPU — powering the next generation of ZK-based blockchains. Exciting times ahead for #zkTech! ⚙️ #Web3 #Blockchain

[Slobodan Lukovic @lukovics]

🚀 Meet CryptoCPU — a high-performance platform built to accelerate end-to-end ZK proving & blockchain validation.
With custom RISC-V vector extensions & co-processors, it delivers top-tier throughput, low latency, & power efficiency.
https://t.co/YI3FdpHzuj
#ZKProofs #RISCV

[Slobodan Lukovic @lukovics]

Joined the second @Ethproof call with top ZK leaders—great insights on the future of Ethereum. Excited to see @PonosTechnology playing a role in shaping next-gen Ethereum! #ZK #Ethereum #Web3

[Ponos Technology @PonosTechnology]

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

[Slobodan Lukovic @lukovics]

CryptoCPU is a flexible RISC-V-based platform that slashes latency and cost for tasks like validation ZK proving, and witness generation—powering the next-gen of scalable, efficient blockchains

[Ponos Technology @PonosTechnology]

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.

[Slobodan Lukovic @lukovics]

2/🔹After the Bybit exploit, the trade-off between performance & security is under intense scrutiny.
🔹 ZK is creeping into OP rollups tackling fragmented liquidity challenges.
🔹ASIC solutions are the only way to solve the cost-performance-latency trilemma. @PonosTechnology

[Slobodan Lukovic @lukovics]

1/ Wrapping up a productive week at #ETHDenver:
🔹 AI-agents represent one of the hottest trends this year. The industry is buzzing with new use cases.
🔹 Base’s Flashlocks made the EVM faster than Solana, pushing to explore optimizations beyond HW & network limits.(More⬇️)