Head to head

Vast.ai vs RunPod: cloud GPU comparison

The same GPUs priced at Vast.ai and RunPod, normalised to one GPU per hour so you can compare like for like.

Quick verdict

Across the GPU models both providers list, RunPod averages $1.2500 per GPU hour against $2.6065 at Vast.ai — cheaper on average.

Vast.ai

10 listings

Vast.ai is a marketplace: independent hosts list their own machines and you bid for them. That makes it the cheapest option for interruptible work and for older GPUs, at the cost of more variable reliability and a...

Average unit price
$2.6065/GPU/hr
Cheaper on average
$0.1081
Spot capacity
Yes
NVLink
No
Rent on Vast.ai

RunPod

17 listings

Cheaper on average
Average unit price
$1.2500/GPU/hr
Cheaper on average
$0.1600
Spot capacity
Yes
NVLink
Yes
Rent on RunPod

Side-by-side comparison

Only models both providers currently list — the rest would not be a fair comparison.

Vast.ai versus RunPod hourly GPU prices
GPU model VRAM Vast.ai RunPod Spot (A / B) Actions
B200 180 GB $6.2521 $5.9800 Lower $6.2500 / — VA RU
H200 SXM 141 GB $14.8339 $3.5900 Lower $5.3333 / — VA RU
H100 SXM 94 GB $2.4741 Lower $2.6900 $2.2000 / — VA RU
A100 SXM 80 GB $1.0422 Lower $1.3900 — / — VA RU
L40S 48 GB $0.4689 Lower $0.7900 $0.4670 / — VA RU
A100 PCIe 40 GB $0.2681 Lower $1.1900 $0.2000 / — VA RU
RTX 5090 32 GB $0.2129 Lower $0.6900 $0.1000 / — VA RU
RTX 3090 24 GB $0.2422 $0.2200 Lower $0.1867 / — VA RU
RTX 4090 24 GB $0.1081 Lower $0.3400 $0.0533 / — VA RU
V100 16 GB $0.1622 Lower $0.1900 $0.1333 / — VA RU

Choose Vast.ai if…

  • You can use interruptible capacity to cut the bill further.
  • You are running single-GPU workloads where interconnect is not the bottleneck.
  • Its regional footprint and billing model suit your deployment.

Choose RunPod if…

  • You can use interruptible capacity to cut the bill further.
  • You need NVLink for multi-GPU tensor parallelism.
  • Its regional footprint and billing model suit your deployment.

Frequently asked questions

Everything about renting cloud GPUs, affiliate tracking and how we collect pricing data.

How is the cheaper provider decided?

For every GPU model both providers list, we compare the normalised single-GPU hourly price. The average of those unit prices is shown for each side, and the lower one is labelled cheaper. We deliberately exclude models only one of the two offers, because that is not a like-for-like comparison.

Does the cheaper option always make sense?

Not always. Marketplace capacity can be reclaimed at short notice and its hosts vary in network and disk performance, while a dedicated cloud gives more predictable throughput. For multi-node training, interconnect and NVLink support usually matter more than a few cents per hour.

Are spot prices directly comparable between providers?

Only roughly. Each platform defines interruption rules, notice periods and reclaim behaviour differently. Treat spot prices as an indication of the cheapest achievable rate, not as a guaranteed price.

Why do you show per-hour rather than per-month prices?

Most providers bill by the second or the hour, and per-hour figures are the only ones that can be compared without guessing how many hours you will actually run. Use the GPU cost estimator to convert an hourly rate into a monthly budget.

Volume buyers

B2B bulk GPU enquiry

Reserving large amounts of GPU capacity? Tell us what you need and we will forward your request to the right provider team.

  • Forwarded by email only — nothing is stored on this site
  • Typical first reply from a provider team: 1–2 business days
  • Useful for reserved clusters, multi-month commitments and data-residency requirements

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