Skip to main content
OpenRelay logo

MI300X pricing on OpenRelay

Every OpenRelay MI300X offering we track, normalized to a per-GPU hourly rate and ranked against 11 providers with current MI300X pricing.

From / GPU-hr
$1.99
Price rank
#2 of 11
Configurations
2
Last updated
October 6, 2026

The cheapest MI300X we currently track is $1.75/hr on Vultr.

OpenRelay MI300X rates

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

OpenRelay MI300X pricing by configuration
Price / GPU-hrTypeGPUs
$1.99On-demand1
$1.99On-demand1

MI300X specifications

VRAM
192GB
Architecture
CDNA 3
Memory Bandwidth
5300 GB/s
TDP
750W
Full MI300X specs and every provider →

MI300X 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 MI300X cost on OpenRelay?

OpenRelay lists the MI300X from $1.99 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 MI300X?

OpenRelay ranks #2 of 11 providers we track with current MI300X pricing. The cheapest right now is Vultr. Price is only one factor — region availability, network, and storage costs differ between providers.

Which MI300X configurations does OpenRelay offer?

We currently track 2 MI300X 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.