Proof of work for AI hardware.
ZeroFlux is a proof-of-work network whose mining work is the matrix math AI accelerators are built for. Mine ZFX on NVIDIA and AMD data-center GPUs, on Apple Silicon, or on any CPU, from a full inference cluster to a single laptop.
The world is building more compute than ever.
Billions of dollars are flowing into AI infrastructure. Data centers are expanding, GPUs are becoming critical assets, and inference demand continues to grow.
But demand isn't constant. Even the most sophisticated inference operations experience fluctuations in utilization. When expensive hardware isn't generating revenue, its costs don't disappear. ZeroFlux gives that hardware a second workload.
One GPU. More ways to earn.
Your infrastructure shouldn't depend on a single source of demand. ZeroFlux lets GPU owners secure a decentralized network with the same tensor cores they use for AI, and earn ZFX block rewards. During testnet, ZFX has no monetary value.
Inference
Serve AI models and earn revenue from inference workloads.
ZeroFlux
Use available GPU capacity to perform proof-of-work computations and compete for ZFX mining rewards.
Your hardware. Your choice. Run on dedicated mining hardware or alongside an existing GPU infrastructure stack, subject to available compute resources.
Explore GPU MiningProof of work, reimagined for the AI era.
Each mining attempt runs a 64 → 4096 → 4096 → 4096 → 4096 → 256 network of integer matrix layers, about 51.6 million multiply-adds, then hashes the output. Miners batch thousands of attempts into ordinary GEMMs on int8 or FP8 tensor cores. Every value is a small integer, so int8, FP8, Metal and CPU arithmetic all produce the identical result, bit for bit.
Matrix-native
Computational work centered on matrix operations, rather than conventional hash-only mining.
Hardware-accelerated
Runs on NVIDIA and AMD tensor cores through cuBLAS and hipBLASLt, and on Apple Silicon GPUs through MLX and Metal.
Independently verifiable
A node checks a block by recomputing one attempt on a single CPU core. No GPU is needed to run a full node.
Compute secures the network.
ZeroFlux is an independent proof-of-work blockchain with its own native asset, ZFX. Miners contribute computational power, compete to produce blocks, and receive protocol rewards when they successfully mine valid blocks.
Anyone with compatible hardware can participate in mining.
Proof of work designed around matrix computation and AI accelerators.
Native transactions use SLH-DSA (FIPS 205), a hash-based signature. Node-to-node traffic uses ML-KEM-768 key exchange and ML-DSA-65 identities. No elliptic-curve keys protect native ZFX.
Lock ZFX on ZeroFlux and receive wZFX, a standard NEAR token that trades through NEAR Intents. Live on NEAR testnet at wzfx.zeroflux.testnet. Version 1 is secured by a 2-of-3 committee, and wZFX on NEAR is not post-quantum.
Your GPU is already capable.
Built for the GPUs already deployed across AI infrastructure. No mining ASIC required. Data-center GPUs mine roughly 2,500 to 4,000 times faster than a laptop CPU, by design.
NVIDIA
int8 (cuBLAS) and FP8 (cuBLASLt) paths, both exact.
Blackwell, RTX 50: builds, not yet measured
AMD
int8 (hipBLAS) and FP8 (hipBLASLt) paths, both exact.
MI300X: builds, not yet measured
Apple Silicon
GPU mining through MLX or PyTorch MPS.
24x the same chip's CPU
Any CPU
Rust and C++ miners; every full node verifies on CPU.
| Hardware | Attempts / s | Energy / attempt | Real blocks mined (120 s test) |
|---|---|---|---|
| AMD MI355X | 13,124,061 | ≈ 93 µJ | 57, all re-verified by an independent CPU node |
| NVIDIA H100 80GB | 8,078,510 | ≈ 86 µJ | 42, all re-verified by an independent CPU node |
| Apple M5 Pro GPU (MLX) | 80,131 | not measured | 88 in 30 s on an easy local target, re-verified |
| Apple M5 Pro CPU (18 threads) | 3,293 | not measured | 55 in 25 s on an easy local target, re-verified |
Production proof-of-work profile, measured 2026-11-09. Every GPU path passed 278 bit-exactness checks against the reference and a worst-case accumulator stress test. Hardware not listed as measured has not been tested on real devices.
Make more of the infrastructure you already own.
AI infrastructure is capital-intensive. Every GPU represents an investment in compute capacity, power, cooling, and operations. Whether you operate a large inference cluster, rent GPU capacity, or own high-performance hardware, ZeroFlux gives it a second workload that runs on the same tensor cores.
No new class of hardware. A new opportunity for existing compute.
Get StartedFrom source to mined blocks in minutes.
Everything runs locally: three nodes, miners, a wallet, the block explorer, and the full NEAR bridge against a local NEAR sandbox. One command checks every claim on this page and writes an evidence report.
# build, then check bit-exactness against the published test vectors cargo build --release && make -C miner/cuda cpu ./target/release/zpu-cli selftest # start a node and mine on it (explorer at http://127.0.0.1:9441/) ./target/release/zfx-wallet new ./target/release/zfx-node --devnet --data-dir /tmp/zfx --explorer-dir explorer/dist & ./target/release/zpu-cli mine --node http://127.0.0.1:9441 --address zfx1... # mine on an Apple Silicon GPU instead ./target/release/zpu-cli mine --node http://127.0.0.1:9441 --address zfx1... \ --backend exec --exec ".venv/bin/python miner/python/zpu_miner.py --backend mlx"
make check # lint, unit tests, test vectors in Rust, C++, Python, MLX make e2e-native # 3 nodes, 1,000+ blocks, restarts, reorgs, encrypted P2P make e2e-bridge # 100 ZFX ⇄ wZFX round trips with injected faults make e2e-intents # swaps through the official NEAR Intents contract make acceptance # all of the above, then ACCEPTANCE_REPORT.md
Built in the open.
Apache-2.0. The design documents, threat model and test evidence are published below, including what is not done yet: independent cryptanalysis, an external audit, and a mainnet monetary policy.
Put your compute to work.
A new proof-of-work network for the AI era.