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TensorDock
Available NowBest for Budget Compute, Side Projects, Decentralized Rendering
About TensorDock
TensorDock is an incredibly cost-effective marketplace that aggregates GPU compute from data centers and individual node operators around the globe. By decentralizing their infrastructure, TensorDock can provide high-end consumer cards like the RTX 4090 and enterprise cards like the A100 at unparalleled price points.
Pros & Cons
Pros
- Acts as a marketplace with aggressively low prices
- Wide variety of consumer and enterprise GPUs
- Instant global deployment footprint
- Great for developers operating on strict budgets
Cons
- Varying host reliability as it acts as an aggregator
- Lower guaranteed SLA uptime compared to hyperscalers
- Not ideal for enterprise-grade proprietary training data
Ideal Use Cases
Fine-TuningImage GenerationResearch
| GPU Models | RTX 4090, RTX 3090, A100, L40S |
| GPU Types | A100, RTX 3090, RTX 4090 |
| Headquarters | Seattle, WA, USA |
| Founded | 2021 |
| Availability | Available Now |
| Website | tensordock.com ↗ |
$0.10/ hour (starting)—$3.00/ hr (max)
💡 Pricing note: Rates shown are indicative. Final pricing depends on GPU model, reservation type (spot vs. on-demand), contract length, and region. Get an exact quote →
Global Decentralized Market
Starting from
$0.10/hr
Up to $3.00/hr
Frequently Asked Questions
TensorDock GPU cloud pricing starts from $0.10/hr depending on GPU type, reservation model (on-demand vs. spot vs. reserved), and region. Use the quote form to get exact pricing for your specific workload.
TensorDock offers RTX 4090, RTX 3090, A100, L40S GPU instances. Availability varies by region and configuration. Contact the provider through ComputeStacker for current availability.
TensorDock operates data centers in Asia Pacific, EU Central, US East. Choosing a region close to your users minimises latency and can help with data residency compliance requirements.
Use the "Get a Quote" button on this page to submit your GPU requirements. ComputeStacker will forward your request to TensorDock and other matching providers. You'll receive proposals within 24 hours — no commitment required.
TensorDock offers high-performance GPU infrastructure suitable for large language model training and fine-tuning workloads. For large-scale distributed training, check the Specs tab for NVLink and InfiniBand interconnect availability.
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