NovaPod
The rapid commercialization of reasoning models and multimodal architectures has exposed a structural flaw in legacy hyperscaler pricing: research teams are forced to choose between exorbitant on-demand spot volatility and punitive 1-to-3-year take-or-pay reservations.
When training runs converge earlier than planned or model topologies pivot midway through development, millions of dollars in prepaid cloud commitments evaporate into unrecoverable idle overhead.
To solve this, we engineered the NovaPod Liquidity Protocol. Rather than treating reserved compute as a non-transferable service agreement, NovaPod treats GPU capacity allocations as verifiable, cryptographically secured liquidity units backed by physical PCI-passthrough clusters.
If your distributed training run completes two weeks ahead of schedule, the remaining reserved cluster time can be re-listed instantly on the NovaPod Marketplace at prevailing spot rates. Incoming inference jobs automatically fill the reservation, crediting your account with streaming USDT, USDC, or SOL payouts per second.
By combining non-custodial crypto settlement with physical out-of-band node verification, NovaPod delivers enterprise-scale price predictability with the elasticity of decentralized compute.
np futures order create \
--accelerator H100_SXM \
--quantity 8 \
--duration 30d \
--settlement crypto_usdt