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Runyard / GPU Index / AMD MI325X
AMD
Rental price index

AMD MI325X

MI300X with more, faster memory.

Prices collected 2026-10-11 · 1 providers, 1 configurations

On-demandReserved
$0.00$1.25$2.50$3.75$5.00Oct 5Oct 7Oct 9Oct 11

Index median price per GPU per hour, by billing type. Nothing is interpolated.

At a glance

Median on-demand
$3.80/GPU/hr
Cheapest on-demand
$3.80DigitalOcean GPU Droplets
Floor, any billing
$3.80incl. spot
Per month at 720h
$2,736

AMD MI325X pricing by provider

One card per provider, cheapest first. A configuration is one priced unit — an instance type, a SKU, a marketplace offer — and the per-GPU price is that unit's price divided by its GPU count. Open a card to see every configuration with its vCPU, RAM and region where the provider publishes them.

1 providers · 1 configurations

What fits on a AMD MI325X

Weights + KV cache at 8K context + runtime overhead, against 230 GB usable of the 256 GB on the card. Capacity follows total parameters, even for mixture-of-experts models — any expert may be needed next. Where one card is not enough, the table says how many are, and prices the set at today's median.

ModelParams4-bit8-bit16-bit
Kimi K32.8T104B active7× GPU$26.60/hr13× GPU$49.40/hr25× GPU$95.00/hr
DeepSeek V4.1-Flash552B16B active2× GPU$7.60/hr3× GPU$11.40/hr5× GPU$19.00/hr
Llama 4 Maverick400B17B active✓ 228 GB~502 tok/s · $2.1/M tok2× GPU$7.60/hr4× GPU$15.20/hr
gpt-oss-120b117B5.1B active✓ 67.9 GB~1673 tok/s · $0.63/M tok✓ 126.4 GB~886 tok/s · $1.19/M tok2× GPU$7.60/hr
Llama 3.1 70B70B✓ 44.5 GB~122 tok/s · $8.65/M tok✓ 79.5 GB~65 tok/s · $16.24/M tok✓ 145.1 GB~34 tok/s · $31.05/M tok
Gemma 4 31B31B✓ 21.2 GB~275 tok/s · $3.84/M tok✓ 36.7 GB~146 tok/s · $7.23/M tok✓ 65.7 GB~77 tok/s · $13.71/M tok
Qwen3 Coder 30B-A3B30.5B3.3B active✓ 19 GB~2586 tok/s · $0.41/M tok✓ 34.3 GB~1369 tok/s · $0.77/M tok✓ 62.9 GB~727 tok/s · $1.45/M tok
Qwen3.8 27B27B✓ 18.7 GB~316 tok/s · $3.34/M tok✓ 32.2 GB~167 tok/s · $6.32/M tok✓ 57.6 GB~89 tok/s · $11.86/M tok
gpt-oss-20b21B3.6B active✓ 13.7 GB~2370 tok/s · $0.45/M tok✓ 24.2 GB~1255 tok/s · $0.84/M tok✓ 43.9 GB~667 tok/s · $1.58/M tok
Llama 3.1 8B8B✓ 6.9 GB~1067 tok/s · $0.99/M tok✓ 10.9 GB~565 tok/s · $1.87/M tok✓ 18.4 GB~300 tok/s · $3.52/M tok

tok/s is decode throughput from memory bandwidth, derated 20%, single stream — an estimate, not a benchmark. $/M tok is the hourly median divided by that rate: the one-user floor for a million generated tokens. Set cost uses today's median × GPUs required.

Buy or rent a MI325X?

No list price on file for this card, so no break-even. At today's median a month of continuous use is $2,736.

Specifications

Memory256 GB HBM3e
Memory bandwidth6,000 GB/s
ArchitectureCDNA 3
VendorAMD
ClassDatacenter
Released2024-10

Bandwidth is listed because it governs generation speed: each token streams the active weights once, so tokens per second is bandwidth divided by bytes read. TFLOPs decide prompt processing and training, not how fast text appears.

Alternatives and comparisons

Questions

How much does it cost to rent a AMD MI325X?

As of 2026-10-11, the median on-demand price across 1 providers is $3.80 per GPU-hour, about $2,736 a month at 720 hours. The cheapest we saw was $3.80 at DigitalOcean GPU Droplets.

Why do prices for the same GPU vary so much?

Hyperscalers bundle CPU, RAM and network into an instance price and charge for the ecosystem around it. Neoclouds sell the GPU more directly. Marketplaces are independent hosts competing on price, with the trade-offs of shared, third-party hardware. The per-GPU figure is the instance price divided by GPU count, which is the only way to compare an 8-GPU node with a single-card listing.

Is the median the price I will pay?

No — it is the middle of the market. Each provider's own median is taken first so a provider with many instance sizes counts once, then the median across providers. Spot and reserved rates are excluded from it; they set the floor shown separately. Use it to judge whether a quote is high or low, then verify with the provider.

Which models can a AMD MI325X run?

With 256 GB per GPU, the table above shows which reference models fit on one card at 4, 8 and 16-bit, using the same memory arithmetic as the rest of Runyard: weights plus KV cache plus runtime overhead, with capacity following total parameters even for mixture-of-experts models. Where a model needs more than one GPU it says how many and what that set costs at today's median.

Own the hardware instead? Work out what your card holds with the same arithmetic.
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