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RTX 4000 Ada pricing on OpenRelay

Every OpenRelay RTX 4000 Ada offering we track, normalized to a per-GPU hourly rate and ranked against 10 providers with current RTX 4000 Ada pricing.

From / GPU-hr
$0.250
Price rank
#4 of 10
Configurations
2
Last updated
October 28, 2026

The cheapest RTX 4000 Ada we currently track is $0.180/hr on Runpod.

OpenRelay RTX 4000 Ada rates

Hourly prices per GPU. Multi-GPU rows show the per-GPU rate, not the instance total.

OpenRelay RTX 4000 Ada pricing by configuration
Price / GPU-hrTypeGPUs
$0.250On-demand1
$0.250On-demand1

RTX 4000 Ada specifications

VRAM
20GB
Architecture
Ada Lovelace
CUDA Cores
6,144
Tensor Cores
192
Memory Bandwidth
360 GB/s
TDP
130W
Full RTX 4000 Ada specs and every provider →

RTX 4000 Ada on other providers

About OpenRelay

OpenRelay is a GPU cloud and inference API. Rent NVIDIA and AMD GPUs by the hour, from the RTX 3090 and RTX 4090 to the A100, H100 SXM, B200, B300 and AMD Instinct MI355X, as VMs with the GPU passed through or as bring-your-own-container pods. There is no commitment, quota request or reservation, and no egress fees; CPU, RAM and disk are included in the hourly rate. The same account calls open-weight LLMs (GPT-OSS, DeepSeek, GLM, Qwen, Gemma) through an OpenAI-compatible inference API billed per token. Based in San Francisco, backed by Y Combinator (S26).

Frequently Asked Questions

How much does the RTX 4000 Ada cost on OpenRelay?

OpenRelay lists the RTX 4000 Ada from $0.250 per GPU-hour across 2 tracked configurations. Prices are collected daily — see the table above for the current rates.

Is OpenRelay the cheapest place to rent the RTX 4000 Ada?

OpenRelay ranks #4 of 10 providers we track with current RTX 4000 Ada pricing. The cheapest right now is Runpod. Price is only one factor — region availability, network, and storage costs differ between providers.

Which RTX 4000 Ada configurations does OpenRelay offer?

We currently track 2 RTX 4000 Ada offerings from OpenRelay, covering the GPU counts, pricing types, and regions listed in the table above. Every price is normalized to a per-GPU hourly rate so it can be compared across providers.