Packet·ai logo Packet·ai vs TensorDock logo TensorDock

What's good about each

  • Dynamic tier: shared GPUs at about half the dedicated rate
  • Free, unlimited data egress
  • Single GPUs from RTX 4090 to B200
  • S3-compatible object storage and OpenAI-compatible inference API
  • Marketplace model with competitive pricing
  • Pay-per-second billing with no minimum commitments
  • No waitlists or quotas for GPU access
  • Global coverage across 100+ locations

Price comparison

Closest matching configuration on each side, monthly list price in USD.

Service Packet·ai TensorDock Difference
Small VM -- Not listed $10.80 /mo 2 vCPU, 4 GB RAM, 20 GB storage
Medium VM -- Not listed $20.88 /mo 4 vCPU, 8 GB RAM, 20 GB storage
Large VM -- Not listed $41.04 /mo 8 vCPU, 16 GB RAM, 20 GB storage
Block storage $7.20 /mo 100 GB $0.01 /mo 100 GB 99% cheaper on TensorDock
Object storage $18.00 /mo 1 TB -- Not listed
Egress Free and unlimited -- Not listed

Heads up: Figures take each provider's closest plan to a common setup, and vary by region and usage. Hover a service for the reference configuration. Verify before provisioning. More on how we price.

GPUs

Packet·ai offers 7 GPU models. We don't currently list GPU prices for TensorDock.

Services

Managed services each provider offers.

Compliance

Frameworks each provider states on its own site, each linked to its source.

Framework Packet·ai TensorDock
GDPR Yes --

Heads up: Each entry links to the provider's own statement. An attestation can cover one tier, one region or the platform alone rather than every service. Verify the scope before you rely on it. A dash means we found nothing to link to, not that the provider lacks it.

Company details

Fact Packet·ai TensorDock
Founded 2025 2021
Headquarters USA USA
Locations 12 --
Example customers -- Florida State University, Creavite, airgpu, ELBO
Website packet.ai www.tensordock.com

Alternatives to consider

Compare Packet·ai and TensorDock against other cloud providers.

Our data for Packet·ai was last updated on Nov. 10, 2026, and for TensorDock on Oct. 15, 2026.