We are building the full-stack infrastructure for the next generation of Web3 & AI.
Here is the ecosystem powered by AntChain OpenLabs & Ant Digital Technologies, categorized by stack:
1️⃣ Core Infrastructure - The bedrock of performance and security.
DTVM / zkDTVM (Virtual Machines)
AntChain BaaS & Bridge
Jovay @JovayNetwork (L2 Network)
NitrooZK-stwo & ZK GPU Acceleration
2️⃣ AI & Agent Intelligence - Enterprise-grade autonomy and intelligence.
DTClaw (Secure Autonomous Agents)
Agentar (Financial Agents)
Anvita @AnvitaFlow (TaaS & Flow)
LingDT (LLM)
SmartCogent (AI tools)
3️⃣ Products & Services - Bridging the digital and physical world.
TopNod @Top_nod (Wallet)
ZOLOZ (Digital Identity)
Look-to-Pay (AI Glasses) & Physical Asset On-Chain
ZAN @zan_team (Node Service & ZK Acceleration & Smart Contract Audit)
A massive ecosystem driving innovation. Which project are you most excited about?
#Web3 #AI #ZK #Blockchain #AntChain #Developer
Introducing Pangolin: A padding-aware commitment scheme based on Basefold.
Instead of materializing repeated padding rows after encoding, Pangolin uses a simple observation: Back-padding in the trace becomes front-padding in the encoded matrix.
So the commit path can hash the padding row once and reuse its digest.
Same commitment semantics — less prover work:
✅ Store the padding row once
✅ Fewer encoded rows to hash/read
✅ Less prover data and memory traffic
✅ GPU-friendly: less global-memory bandwidth pressure
The 5th post in the zkDTVM series: https://t.co/RLOoRkpmnB
Wow, the metrics this week from the RTP Cohort on Ethproofs are fantastic! 🤯
- @AntChainOpenLab: 99.9% on both performance (sub-10s) and liveness
- @brevis_zk: 91.77% on performance and 99.21% liveness
💪
Introducing UniSkip-in-the-Tail: GPU‑native optimization for SumCheck's underutilized tail rounds.
Instead of suffering through sequential memory‑bound rounds with shrinking trace height, we consolidate multiple tail variables into a single higher‑degree univariate evaluation.
One algebraic construction — zero extra reconciliation phases:
✅ No Phase‑2 protocol (unlike Whirlaway)
✅ k rounds → 1 round via Lagrange bit‑lifting
✅ Alleviates memory bottleneck, boosts GPU resource utilization
✅ GPU‑friendly: parallel finite‑field eval over fixed interpolation domain
https://t.co/DBhHwS29Q8
This week we had 3 provers make the RTP Cohort on Ethproofs. Congrats to @ziskvm, @brevis_zk, and @AntChainOpenLab!
zkDTVM was integrated into soundcalc (link below) last week as their final requirement ...let's see if they can make the liveness and performance cut again next week!
Introducing FusedCheck: a simpler way to verify LogUp in multi‑chip STARKs.
Instead of running-sum columns or 300+ round GKR circuits, we fuse the permutation summation directly into the existing constraint sumcheck.
One protocol instance — zero extra rounds:
✅ No extra columns or AIR constraints
✅ No shifted openings (~2× PCS cost saved)
✅ ~20 sumcheck rounds vs. 300+ in GKR
✅ GPU‑friendly: minimal sequential barriers
Part 3 of the zkDTVM deep‑dive: https://t.co/H8DqBUzHKc
zkDTVM Docker release is live!
Run it and experience the fastest real-time prover for Ethereum block.
What’s Next:
🔹May: Proof size <600KB (performance unchanged)
🔹August: Full open-source release
Stay tuned! 👇
https://t.co/xKow83xdXg
Part 2 of the zkDTVM deep‑dive is out — read the post: https://t.co/k5FNnZooz1
We break down the SumCheck PIOP, the most GPU‑critical stage of the prover, and how we reshape it so every round becomes a large GPU‑saturating batched kernel.
Inside:
🔹One SumCheck for all chips
🔹Univariate‑skip‑in‑the‑tail
🔹Algebraic decomposition
🔹Trace compression
zkDTVM hits #1 on EthProofs — 3.7s Ethereum block proof, exciting progress toward real-time proving for Ethereum.
We built zkDTVM from the ground up as a GPU-native zkVM. Instead of bolting GPU kernels onto a CPU-shaped pipeline, we co-designed every layer — execution, arithmetization, and proving — for end-to-end CUDA acceleration, with no CPU fallback on the critical path.
Full architecture deep-dive 👇
https://t.co/MnNB4eZ0IH
Coming up next in the series:
🔹Execution & circuit co-optimization
🔹GPU-optimized SumCheck protocol
🔹Univariate-skip-in-the-tail
🔹 Protocol-level LogUp for local-only AIRs
🔹 End-to-end CUDA pipeline
Stay tuned.
Ant Digital Technologies' zkDTVM Tops Benchmark "EthProofs"
In the recent global benchmark test "EthProofs" initiated by Ethereum, Ant Digital Technologies' Zero-Knowledge Proof Virtual Machine (zkDTVM) achieved a new record - block proving time of 3.7 seconds, securing the No. 1 spot globally.
This breakthrough also provides new capabilities to support trusted collaboration between AI agents.
🔗 https://t.co/b74IftcJlj
Our zkDTVM 16-GPU prover is now live and has taken the #1 spot on Ethproofs (@eth_proofs), enabling real-time proving for @ethereum:
🔹99% proving < 5.7s
🔹100% proving < 8.18s
🔹Avg proving time: 3.69s
🔹Security: 100-bit (UDR)
Open-sourcing soon. Launching on @JovayNetwork soon.
As the trusted on-chain data infrastructure for the agentic era, zkDTVM will power our ecosystem of Agent Web3 solutions—such as agent payments—with a robust, verifiable backbone.
https://t.co/5iJNe8QmDk
#ZK #zkVM #Ethereum #EthProofs #RealTimeProving
Our zkDTVM single GPU prover is live on Ethproofs @eth_proofs!
🔹23s average proving time.
🔹100-bit security level (UDR).
Our 16-GPU prover goes live soon. 🔗 https://t.co/I4M59WhC7K
Alipay has launched a new AI Pay-powered payment service that enables OpenClaw-type AI agents to make purchases and complete payments based on user instructions.
.@AntLingAGI has officially introduced Ling-2.6-flash!
🔹104B Total Parameters
🔹7.4B Active Parameters (MoE)
🔹Lower Token Costs + Higher Throughput
Ant Digital Technologies will soon release LingDT, the commercial version designed to empower developers and SMEs worldwide.
Stay tuned for more updates!
6/6 🏁 Community First
We’ll be open-sourcing our model.
Next, a commercial version of this model, LingDT, will be released in collaboration with Ant Digital Technologies to serve developers and SMEs worldwide.
BF16, FP8, and INT4 variants of Ling-2.6-flash are coming in the near future. 🥳