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FAQ

Answers to common questions about Aquanode's GPU providers, pricing, security, billing, and how to get started.

General

What is Aquanode?

Aquanode is a developer-first GPU compute platform that makes it easy to run, deploy, and scale machine learning workloads on decentralized and enterprise-grade GPU providers. Unlike traditional GPU clouds, Aquanode focuses on developer experience, orchestration, and cost-efficiency.

Who is Aquanode for?

Aquanode is built for:

  • AI startups and ML teams needing cost-effective GPU compute
  • Developers who want to deploy models without managing infrastructure
  • Researchers experimenting with LLMs, fine-tuning, or inference pipelines
  • Enterprises seeking scalable, production-grade GPU infrastructure

Compute & Infrastructure

What GPU providers does Aquanode support?

Aquanode integrates 11 GPU compute providers in its marketplace, 10 currently active for new deployments:

  • Verda (formerly DataCrunch): European ISO-certified GPU provider with renewable energy data centers
  • Voltage Park: Enterprise-grade H100 clusters for AI training and inference
  • Hot Aisle: Dell + AMD AI developer cloud
  • Akash Network: Decentralized cloud marketplace
  • Cudo Compute - Norway based GPU Provider, Retired, no longer accepting new deployments
  • Hyperstack - Canada Based GPU Provider
  • Vast.ai - Community Marketplace
  • Massed Compute - US based GPU Provider, Small enterprise scale
  • Vultr - Virtualized Low VRAM GPUs
  • SimplePod - Community GPU marketplace with affordable consumer GPUs
  • RunPod - Secure Cloud (RunPod datacenter capacity) + Community Cloud (third-party hosted machines), non-interruptible only

What GPU types are available?

We support a broad range of GPUs, including:

  • NVIDIA H100, H200, A100 (80GB/40GB)
  • PRO6000, L40, A6000, RTX 6000 ADA
  • RTX 4090, RTX 5090 consumer GPUs for lighter workloads
  • Next-gen options (B200) as they become available

How does pricing work?

Pricing depends on the provider:

  • Akash Network: Auction-based, often 60 to 80% cheaper than hyperscalers
  • Verda: Base Price + Dynamic Disk pricing, with long-term contracts available
  • Voltage Park: Transparent hourly and reserved pricing for enterprise workloads
  • Hyperstack: Fixed Price
  • Cudo Compute: Retired, no longer accepting new deployments (historical: Base Price + Dynamic Disk price)
  • Vast.ai: Varied Pricing
  • Massed Compute: Fixed Price
  • Hot Aisle: Fixed Pricing
  • Vultr: Fixed Pricing
  • SimplePod: Marketplace pricing, community-sourced
  • RunPod: Secure Cloud + Community Cloud tiers, priced separately

See GPU Types and Pricing for details.

Security

How secure is Aquanode?

Aquanode is designed with security-first principles:

  • Isolated machine environments with firewall rules
  • Secure SSH access with password or key-based authentication
  • Support for confidential computing (Intel TDX, NVIDIA Hopper GPUs) on roadmap

Getting Started

How do I sign up?

You can get started by creating an account at console.aquanode.io.

What’s the fastest way to try Aquanode?

Launch a GPU VM template (Ubuntu, Debian, PyTorch, TensorFlow) directly from the VM Templates page - your environment will be ready in seconds.

Billing

How am I charged?

GPU time is metered per second while your deployment is running. Billing starts once the box is active and ready to use, not from the moment you click deploy, and stops the instant you request a close, not once teardown finishes in the background.

What payment methods do you accept?

We currently support credit/debit cards and Solana.

Roadmap

What’s coming next?

  • Multi-tenant inference hosting
  • Sub-leasing GPUs for community supply
  • Serverless GPU functions
  • Expanded confidential compute support

📬 Still have questions? Reach out to us at hi@aquanode.io or join our community on Discord (coming soon).

Teams

Collaborate on Aquanode. Create teams, invite members with a shareable link, and manage roles so your whole team can share deployments and balance.

Troubleshooting

Fixes for common Aquanode issues: login problems, empty dashboards, failed machine or model deployments, snapshot errors, and billing discrepancies.

On this page

GeneralWhat is Aquanode?Who is Aquanode for?Compute & InfrastructureWhat GPU providers does Aquanode support?What GPU types are available?How does pricing work?SecurityHow secure is Aquanode?Getting StartedHow do I sign up?What’s the fastest way to try Aquanode?BillingHow am I charged?What payment methods do you accept?RoadmapWhat’s coming next?