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GPU comparison · updated 2026-10-02

DataCrunch vs TensorDock

DataCrunch and TensorDock do not currently list any matching GPU configurations with recorded on-demand pricing, so there is no direct price head-to-head today. The table below shows what each offers, updated 2026-10-02. Platform facts come from each provider's documentation.

DataCrunch

offers 12 configurations without a matching recorded rate at the other
Visit DataCrunch →Review

TensorDock

offers 10 configurations without a matching recorded rate at the other
Visit TensorDock →Review

Prices are per GPU-hour. Rows match exact GPU variants and published node minimums. When node count is not reported, confirm the required configuration before comparing whole-job costs. These are listed rates, not a guarantee of stock.

Price per GPU, side by side (2026-10-02)

GPU (on-demand $/hr)DataCrunchTensorDockPrice diff
RTX A4000 · node count not reportednot offered$0.10–
Tesla V100 SXM2 · node count not reportednot offered$0.17–
Tesla V100 (unspecified) · 1× minimum$0.194not offered–
RTX 3090 · node count not reportednot offered$0.20–
RTX 4090 · node count not reportednot offered$0.35–
RTX A6000 · node count not reportednot offered$0.45–
RTX A6000 · 1× minimum$0.666not offered–
RTX 6000 Ada · node count not reportednot offered$0.75–
L40 · node count not reportednot offered$0.95–
RTX 6000 Ada · 1× minimum$1.18not offered–
A100 SXM 40GB · 1× minimum$1.31not offered–
A100 PCIe 80GB · node count not reportednot offered$1.50–
L40S · 1× minimum$1.56not offered–
A100 SXM 80GB · 1× minimum$1.80not offered–
A100 SXM 80GB · node count not reportednot offered$1.80–
RTX PRO 6000 (unspecified) · 1× minimum$2.04not offered–
H100 SXM · node count not reportednot offered$2.25–
H100 SXM · 1× minimum$3.70not offered–
H200 (SXM) · 1× minimum$4.83not offered–
B200 · 1× minimum$7.06not offered–
B300 · 1× minimum$8.79not offered–
GB300 · 1× minimum$10.11not offered–

Lowest recorded on-demand rate per configuration; highlighted = cheaper. Price diff is the absolute and percent saving on the cheaper side (named), relative to the higher price; – means one side has no matching configuration in the collected rates. Spot/marketplace tiers shown on the individual pages.

Tables rank by price, lowest first. Commercial relationships never affect ordering.How we collect and rank prices.

Platform facts

DataCrunchTensorDock
Billing incrementnot publishednot recorded
Egressnot publishednot recorded
Storage /GB-monot publishednot recorded
Spot offerednot publishednot recorded
Reserved offeredsales onlynot recorded
Notebook supporttemplatesnot recorded

From each provider's documentation, updated 2026-07-07; sources on the fees matrix and enterprise matrix.

FAQ

Which GPU configurations are listed only by DataCrunch or TensorDock?

DataCrunch lists 12 GPU configurations with on-demand pricing that TensorDock does not: Tesla V100 (unspecified) · 1× minimum, RTX A6000 · 1× minimum, RTX 6000 Ada · 1× minimum, A100 SXM 40GB · 1× minimum, L40S · 1× minimum, A100 SXM 80GB · 1× minimum and 6 more. TensorDock lists 10 that DataCrunch does not: RTX A4000 · node count not reported, Tesla V100 SXM2 · node count not reported, RTX 3090 · node count not reported, RTX 4090 · node count not reported, RTX A6000 · node count not reported, RTX 6000 Ada · node count not reported and 4 more.

Compare more rental options: the screener · price movers · methodology.