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Canopy Wave vs TensorDock: Pricing, Specs, Strengths & Weaknesses

Side-by-side comparison of GPU compute pricing, regions, billing models, and strengths for Canopy Wave and TensorDock. Rates sourced from public APIs — verify current availability and billing terms before purchasing.

Overview

Provider type
Specialist
Marketplace
Founded
2023
2021
Headquarters
United States
Boston, MA
Billing model
On-demand, Reserved, Serverless (per-token)
Per-second on-demand, Spot, Reserved
Min commitment
None
None (minimum deposit required — check tensordock.com)
Support tier
Standard → Enterprise
Community → Pro
Regions
1 regions
4 regions

Strengths & Best For

Canopy Wave

Canopy Wave announced a merger with SAIHEAT. The platform offers HGX B300 (reserve), GB200 NVL72 (reserve), HGX B200 (reserve), HGX H200, and HGX H100 on-demand. Serverless inference covers DeepSeek V4.1-Flash, DeepSeek V4 Pro, GLM-5.2, Kimi K3, Kimi K2.6, MiniMax M3, and Qwen3.8-Flash-Next. Unlimited Token Plan available. Coding Plan for privacy-protected open model access. Zero data retention policy. Check canopywave.com for current rates.

Strengths
  • H200 and H100 HGX — competitive on-demand pricing
  • Serverless inference: DeepSeek V4 Pro, Kimi K3, GLM-5.2, MiniMax M3
  • Unlimited Token Plan — flat-rate token access
  • Zero data retention policy
  • HGX B300 and GB200 NVL72 available to reserve
  • Merging with SAIHEAT for expanded capacity
Weaknesses
  • Merger with SAIHEAT creates uncertainty
  • Smaller provider — limited scale vs hyperscalers
  • B300/GB200 not yet on-demand (reserve only)
Best For
Teams wanting HGX GPU compute with serverless inferencePrivacy-sensitive workloads (zero data retention)High-volume inference with Unlimited Token PlanTeams needing DeepSeek, Kimi, GLM, MiniMax models
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TensorDock

TensorDock is a GPU cloud marketplace connecting users with independent hosts across 100+ global locations. 45+ GPU models from consumer RTX cards to HGX H100 SXM5, including H100 SXM5, A100 SXM4, and RTX 4090. Pay-per-second billing with no minimum commitments, no waitlists, and no quotas. Hosts compete on price, keeping rates among the lowest available. KVM virtualization with root access and dedicated GPUs. Windows 10 support. Voltage Park (merged with Lightning AI) is a TensorDock partner. Customers include Florida State University, airgpu, ELBO, and Creavite.

Strengths
  • H100 SXM — competitive H100 pricing
  • A100 SXM and RTX 4090 at competitive marketplace rates
  • Pay-per-second billing with no minimum commitment
  • 45+ GPU models from consumer to H100
  • 100+ global locations across 20+ countries
  • No waitlists or quotas — low minimum deposit to start
Weaknesses
  • Marketplace model — hardware quality varies by host
  • No enterprise SLAs or uptime guarantees
  • Limited support for complex distributed training
Best For
Budget AI training and fine-tuningBatch inference workloadsTeams needing wide GPU varietyResearchers avoiding waitlistsCost-sensitive multi-region deployments
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Live GPU Pricing

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Region Coverage

TensorDock — 4 regions
USEUAPACVarious (100+ locations, 20+ countries)

Popular Comparisons

Key differences

Canopy Wave

Merging with SAIHEAT — H200, H100, serverless inference with DeepSeek V4 Pro, Kimi K3

TensorDock

H100 SXM, A100 SXM, RTX 4090 — 45 GPU types, 100+ locations

AttributeCanopy WaveTensorDock
Provider typespecialistmarketplace
Billing modelOn-demand, Reserved, Serverless (per-token)Per-second on-demand, Spot, Reserved
Min commitmentNoneNone (minimum deposit required — check tensordock.com)
Regions1 (US)4 (US, EU, APAC, +1)
Support tierStandard → EnterpriseCommunity → Pro
Best forTeams wanting HGX GPU compute with serverless inference, Privacy-sensitive workloads (zero data retention)Budget AI training and fine-tuning, Batch inference workloads
Founded / HQ2023 · United States2021 · Boston, MA