TasQ Network is a decentralized infrastructure for private AI compute, launched on the Robinhood Chain (EIP-155 chain ID 4663). Its official website (tasqnetwork.io) describes a system where users rent GPU capacity with three assurance modes—Attested (enclave-based confidentiality), Redundant (multi-seat execution with hidden audits), and Proven (zk-STARK verifiable outputs)—and where hardware providers lend GPUs while remaining blind to job content. The native $TASQ token is deployed at 0xdc453b1405cfe25e2afba8e7f4272b0a00437777 on Robinhood Chain, with explorers available via Robinhood Chain Blockscout and Robin Etherscan. Public benchmarks—including enclave overhead modeling, quorum capture simulations, and floating-point nondeterminism analysis—are published on the site’s /benchmark/ subpaths. The team lists four members with academic and technical backgrounds, though no public repository, live product demo, or third-party audit is linked. Key evaluation questions remain: What is the current treasury composition and liquidity? Is the claimed 1B-token circulating supply verified on-chain? How are GPU provider payouts settled—and what economic incentives prevent collusion or underreporting in mode R?
TasQ Network presents a technically grounded, execution-focused design for private AI compute, with verifiable benchmarks and clear architectural trade-offs across assurance modes (Attested, Redundant, Proven). The website documents concrete performance metrics—like 0.22 ms hybrid key agreement, 60 ms Merkle root verification, and quorum capture gaps under 0.0012—tied to named CSV files and simulation scripts (tasqnetwork.io, tasqnetwork.io/benchmark/gpu-model, tasqnetwork.io/benchmark/quorum). These are not vague claims but quantified, reproducible results supporting core mechanisms like hidden audits, distinct-machine enforcement, and break-even economics versus adversarial behavior.
The team page lists four individuals with education and role details, including two from National Tsing Hua University and one recent graduate (tasqnetwork.io/team). While no prior shipped products or public code repositories are cited, the project’s scope is narrow and well-scoped: browser-based intent signing, enclave attestation, and result verification—all demonstrated in static UI flows. Token supply is reported as 1B $TASQ fully circulating (CoinGecko), though no token utility, vesting, or financial runway is described. The Robinhood Chain deployment (eip155:4663) and contract address are consistently referenced across sources, and explorer links are provided—but no on-chain activity, transaction volume, or user metrics are supplied.
Critical gaps remain: no live app access, no audit reports, no open-source repository, and no evidence of actual job execution beyond simulated benchmarks. Confidence is medium due to freshness (all sources available within 12 hours of snapshot) and cross-referenced technical claims—but limited source independence (all web content from tasqnetwork.io) prevents high confidence.
Overall score: 7/10 Confidence: Medium