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GPUs & Pricing

Multi-Provider GPU Compute Marketplace

Compare the 11 GPU compute providers Aquanode integrates. Voltage Park, Verda (formerly DataCrunch), Akash, Hot Aisle, Hyperstack, Vast.ai, Vultr, Massed Compute, Cudo Compute (retired), SimplePod, and RunPod.

We currently offer GPU compute resources from the following providers. For live availability and rates across all of them, see the Aquanode Marketplace and the GPU price index, or pull the same data yourself with the free, public Marketplace API.

Note: Cudo Compute is a supported integration but is retired. It wound down its public, self-service on-demand offering and no longer accepts new deployments. It's kept in the line-up below because existing historical deployments there are still tracked; place new workloads on any of the other 10 active providers.

1. Voltage Park

Voltage Park is a next-generation GPU cloud infrastructure provider specialized for AI, offering rapid deployment of NVIDIA HGX H100 clusters with both on-demand and reserved plans. They maintain Tier 3+ data centers, high availability, strong security guarantees, and transparent, competitive pricing.

Key Features

  • NVIDIA HGX H100 GPU clusters, available on-demand (as low as $1.99/hr)
  • Deploy in ~15 minutes with options for high-speed networking (InfiniBand 3200 Gbps or Ethernet)
  • Long-term reservations (6+ months) for large-scale workloads (up to thousands of GPUs)
  • Tier 3+ data centers, 99.982% uptime, enterprise-grade security

2. Verda

Verda (formerly DataCrunch, which now redirects to verda.com) is a European ISO-certified cloud provider offering on-demand GPU clusters, inference endpoints, and autoscaling containers, all powered 100% by renewable energy. They offer both fixed and dynamic pricing models, support long-term contracts, and provide access to advanced NVIDIA GPUs like H100, H200, A100, B200, RTX series, and more.

Key Features

  • Broad range of GPU and server configurations (e.g., H100, H200, A100, B200, RTX6000ADA)
  • Dynamic pricing: lower costs when demand is low, adjustable daily
  • Pay-as-you-go + long-term contract options with upfront discounts
  • European data centers, ISO-certified, renewable energy powered

3. Akash Network

Akash is an open, decentralized cloud marketplace where compute providers can rent out idle capacity and buyers deploy workloads at significantly lower cost. It supports GPU workloads through its “Supercloud” offering, enabled via the Mainnet 6 upgrade, allowing deployment of both high-density (e.g., NVIDIA H100, A100) and consumer-grade GPUs. Akash uses a reverse-auction marketplace model for pricing and supports payments in USDC or AKT.

Key Features

  • Decentralized, peer-to-peer compute marketplace
  • Lower prices (up to ~80% cheaper vs hyperscalers)
  • Supports a wide range of GPUs-from consumer to data-center grade
  • Stable payments and USDC settlement post-Mainnet 6

4. Hot Aisle

Hot Aisle is an AMD-focused GPU provider offering on-demand access to newer MI-series hardware. It is a good fit for teams evaluating AMD compute alongside NVIDIA-heavy marketplaces.

Key Features

  • AMD MI300x and MI355x availability
  • On-demand pricing model
  • Strong fit for AMD-native experimentation and inference

5. Hyperstack

Hyperstack is a cost-effective cloud GPU provider with a practical mix of NVIDIA accelerators for training and inference workloads. It offers predictable on-demand access and flexible infrastructure options.

Key Features

  • H100, A100, L40, and A6000 options
  • Canada-based cloud infrastructure
  • Good balance of cost and performance

6. Vast.ai

Vast.ai is a marketplace-style GPU platform combining community-sourced and datacenter-supplied compute. It offers broad hardware choice and flexible pricing, especially for cost-sensitive workloads.

Key Features

  • Community + datacenter marketplace model
  • Broad availability across A100, RTX 4090, L40, V100, A6000, and more
  • Competitive market-driven pricing

7. Vultr

Vultr provides virtualized GPU infrastructure with simpler deployment workflows and lower-VRAM options. It works well for lighter inference and general-purpose acceleration use cases.

Key Features

  • A16, A40, and A100 availability
  • Virtualized cloud deployment model
  • Useful for lower-cost or lower-memory GPU needs

8. Massed Compute

Massed Compute focuses on small-scale enterprise GPU demand with strong US coverage and a mix of professional and datacenter GPUs.

Key Features

  • A6000, L40, A100, H100, and PRO6000 availability
  • US-based infrastructure
  • Strong fit for enterprise teams that want straightforward on-demand access

9. Cudo Compute (Retired)

Cudo Compute was a European GPU provider with cost-conscious on-demand infrastructure and support for a practical range of NVIDIA accelerators. Cudo has wound down its public, self-service on-demand offering and is retired from the Aquanode marketplace, and no longer accepts new deployments. The integration is kept in this list because it's still a supported part of Aquanode's provider line-up and existing historical deployments remain trackable; deploy new workloads on one of the other 10 active providers instead.

Key Features (while active)

  • L40, A100, and H100 availability
  • Norway-based infrastructure
  • Retired, not available for new deployments

10. SimplePod

SimplePod is a community GPU marketplace offering affordable, on-demand consumer GPUs from a distributed network of suppliers. It suits cost-sensitive training, fine-tuning, and inference where consumer-class hardware (RTX-series) is enough.

Key Features

  • RTX 4090, RTX 3090, and other consumer GPUs
  • Community-sourced, globally distributed supply
  • Low-cost marketplace pricing

11. RunPod

RunPod is a large pod-based GPU marketplace combining RunPod's own Secure Cloud datacenter capacity with a Community Cloud of individually hosted third-party machines, priced and listed separately. Aquanode reads live availability across both tiers directly from RunPod's GPU catalog and only ever rents non-interruptible pods, so a deployment is never subject to spot-style reclaim.

Key Features

  • Secure Cloud (RunPod datacenter capacity) and Community Cloud (third-party hosted machines), fetched live from RunPod's catalog
  • Deployments are never interruptible, with no spot or reclaimable pods
  • Browser terminal support
  • Account balance and account health both readable through the API

Summary Comparison

ProviderInfrastructure TypeGPU Models (not exhaustive)Pricing ModelUnique Strengths
Voltage ParkEnterprise bare-metal (US)HGX H100 clustersOn-demand + reservedFast spin-up, high performance, stable infra
VerdaEuropean hyperscalerH100, H200, B200, A100, RTX seriesFixed + dynamic, contractsWide GPU options, dynamic pricing, green infra
Hot AisleEnterprise datacenter (US)AMD MI300x, MI355xOn-demandAMD GPU specialist
AkashDecentralized / peer-to-peerH100, A100, consumer GPUsReverse auction, USDC/AKTLow-cost access, open-market flexibility
HyperstackCloud datacenter (Canada)H100, A100, L40, A6000On-demandCost-effective, flexible configurations
Vast.aiCommunity + datacenterA100, RTX 4090, L40, V100, A6000Marketplace auctionDecentralized, broad GPU selection
VultrVirtualized cloudA16, A40, A100On-demandLow-VRAM virtualized options
Massed ComputeEnterprise datacenter (US)A6000, L40, A100, H100, PRO6000On-demandSmall-scale enterprise, US-central
Cudo Compute (Retired)Cloud datacenter (Norway)L40, A100, H100Not accepting new deploymentsCost-effective, European-based (historical)
SimplePodCommunity marketplaceRTX 4090, RTX 3090, consumer GPUsMarketplace, low-costAffordable consumer GPUs, distributed supply
RunPodSecure + community pod marketplaceLive catalog (varies by tier)On-demand (secure + community tiers)Large pod marketplace, non-interruptible only