Live on Testnet — Phase 1 Active

The World's First
Decentralized
AI-Powered Chip

DeChips.ai fuses silicon-level intelligence with trustless decentralization — delivering autonomous, self-optimizing compute that no single entity controls.

10× Inference Speed
0 Central Authority
3nm Process Node
Scalability

Built Different.
At Every Layer.

From the transistor up, DeChips.ai is engineered for a world where compute is sovereign, intelligent, and open.

Mesh Consensus Core

Each chip participates in a Byzantine-fault-tolerant mesh network, reaching consensus without centralized orchestration.

🧠

On-Die AI Engine

A dedicated neural processing unit baked into silicon — running inference at the edge with zero cloud dependency.

🔐

Zero-Knowledge Attestation

Every compute cycle is cryptographically provable. Verify workloads without exposing sensitive model weights or data.

Adaptive Power Fabric

AI-driven power management dynamically reallocates wattage across cores, slashing energy use by up to 60%.

From Silicon to
Sovereign Compute

Four steps from raw hardware to a fully decentralized, AI-governed compute node.

01

Chip Provisioning

Each DeChip is flashed with a unique cryptographic identity at the foundry level — tamper-proof from day one.

02

Network Enrollment

The chip broadcasts its capabilities to the DeChips mesh, staking tokens to join the decentralized compute pool.

03

AI Task Routing

Workloads are intelligently sharded and routed by the on-die AI engine to the optimal nodes in real time.

04

Verified Output

Results are aggregated, ZK-proven, and returned — with full auditability and no single point of failure.

Trusted by Builders
at the Frontier

Early partners and advisors on what DeChips.ai means for the future of compute.

"DeChips.ai is the missing hardware layer for truly sovereign AI. We've been waiting for something like this since the dawn of the blockchain era."

AK
Arjun Kapoor
CTO, NeuralMesh Labs

"The ZK attestation layer alone is a breakthrough. Running verifiable AI inference at the chip level changes everything about how we think about trust in compute."

SL
Sofia Liang
Research Lead, OpenSilicon Foundation

"We integrated DeChips into our edge inference pipeline and saw a 9× throughput gain with 55% lower power draw. The adaptive fabric is no joke."

MR
Marcus Reid
VP Engineering, Distributed AI Corp
🔒 SOC 2 Type II
EVM Compatible
🌐 RISC-V Open ISA
ISO 26262 Certified
🛡 FIPS 140-3

Request Early
Access

DeChips.ai is currently in closed beta. Apply to join our early access program and be among the first to deploy decentralized AI compute at the silicon level.

📍 San Francisco, CA & Singapore
🌐 dechips.ai
💬 Discord: discord.gg/dechips
🐦 @DeChipsAI
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