Originally published on AI Tech Connect.
What changed on 14 July On 14 July 2026, Boundless — a network built for zero-knowledge (ZK) proving, the cryptographic workload that lets blockchains verify computation without re-running it — announced that it is opening its GPU fleet to general AI inference as managed infrastructure. The pitch is blunt: the same roughly 4,000 GPUs that grind out cryptographic proofs are idle a lot of the time, and idle silicon is wasted money. Point that spare capacity at AI inference and, according to Boundless's early benchmarks, you can run some workloads for as much as 50% less than a comparable hyperscaler cloud. The catch is in the fine print, and it is the whole story. Those savings are pitched at asynchronous workloads — the kind that do not need an instant response — running on consumer-grade…
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