adae is bankole ai systems' autonomous depin compute arbitrage engine. we route h100 gpu workloads across vast.ai, akash, and aws spot to find the cheapest available compute in real time.
adae is the first autonomous depin compute arbitrage engine built for production ai workloads. it continuously scans vast.ai, akash network, and aws spot markets, comparing real-time h100 pricing across providers, regions, and availability zones.
when a price discrepancy crosses our threshold, adae automatically provisions the cheapest available cluster, migrates your workload, and decommissions the old one - all without any manual intervention. the result is consistent compute at 28.2% below aws spot pricing, with zero downtime and no vendor lock-in.
our arbitrage engine runs 24/7 across three compute layers. adae bids on spot instances, negotiates depin provider rates, and automatically shifts workloads to the cheapest qualified cluster at any given moment.
real-time price comparison across vast.ai, akash, and aws spot. adae executes across 12+ regions simultaneously.
if a provider's price spikes or an instance drops, adae migrates your workload within 90 seconds.
for predictable workloads, adae negotiates reserved h100 pricing at fixed rates below spot volatility.
| provider | instance | hourly rate | savings |
|---|---|---|---|
| aws spot | p5.48xlarge (8x h100) | $30.64 | - |
| adae / vast.ai | 8x h100 cluster | $21.52 | 29.8% |
| adae / akash | 8x h100 cluster | $19.84 | 35.2% |
| adae reserved | 8x h100 cluster | $17.92 | 41.5% |
adae resells h100 compute from vast.ai and akash network at negotiated bulk rates. clusters are pre-configured with pytorch, tensorflow, and jax, and include persistent storage, private networking, and priority scheduling.
adae is a tier-1 vast.ai partner with access to preemptible and on-demand h100 instances across 7 global regions. our negotiated bulk rate passes the savings directly to you. minimum cluster: 4x h100. deployments under 3 minutes.
through akash's decentralized compute marketplace, adae sources h100 gpu capacity from independent providers worldwide. akash's auction pricing model frequently undercuts centralized cloud by 35-50%. all workloads run inside verified enclaves.
adae's warm vram cache keeps model weights and activations resident across cluster migrations. when adae shifts your workload to a cheaper provider, your model state is preserved - no cold start, no re-initialization, no lost progress.
adae's orchestration layer manages cluster lifecycle across providers with automatic health monitoring, preemptive migration, and multi-region redundancy. if a provider's reliability degrades, adae redistributes your workload before you notice.
start saving 28.2% on h100 compute. adae integrates with your existing kubernetes or slurm workflow in under an hour.
request demoadae@bankole.systems