Every Compute Marketplace Today Settles Against the Wrong Thing
You rent $10,000 of GPU time on Akash. The machine comes online. The escrow starts draining. After 6 seconds, it drains again. After 12 seconds, again. This continues for 8 hours while your training job runs. At the end of the 8 hours, the GPU owner gets paid. And nobody can prove your job ran correctly. Not because Akash is bad. Akash is solving the right problem for its scope: ensuring the…
The issue at hand is that compute marketplaces are settling against the wrong thing. These marketplaces, such as Akash, Apex Fusion, x402, and Hyperbolic, ensure providers have economic incentives to keep their machines online. However, this does not guarantee that the job ran correctly. Providers can run the job against stale model weights, add noise to the output, skip the compute, or return random numbers. The money is moved against a correlation with good behavior, not a proven correctness.
There is no native solution to this problem in compute settlement. Until now, NVIDIA has introduced a hardware-fused Device Identity Key in their H100 and H200 GPUs. When running workloads in confidential mode, the GPU generates a signed attestation report covering the firmware, cryptographic hash of the workload code, and measurements of the execution environment.
This signed attestation can be used as a preimage in an HTLC (Hashlock Transaction Lock Contract), providing cryptographic proof that the work executed without needing a jury, reputation system, or provider to stay online forever. However, attestation only proves which code ran on which silicon and does not guarantee the correctness, usefulness, or quality of the output. The trade-off is between trusting a hardware vendor's certificate authority versus a DAO or a jury.
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