AMD MI300X vs RTX 5070: Specs, VRAM & Price

Short answer: choose the AMD MI300X when 192 GB of VRAM is the gating requirement. Choose the RTX 5070 when 12 GB is enough for the workload and the lower hourly rate points that way.

The AMD MI300X has 192 GB of VRAM; the RTX 5070 has 12 GB.

You can rent both by the hour, no purchase required. AMD MI300X from $2.63/GPU/hr; RTX 5070 from $0.331/GPU/hr. The RTX 5070 is 87% cheaper at the entry rate.

AMD MI300X

Good for training and serving frontier-scale LLMs

$2.63/hr
Lowest / GPU
$2.63/hr
Median / GPU
192 GB
VRAM
CDNA3
Architecture

RTX 5070

Good for inference and light fine-tuning workloads

$0.331/hr
Lowest / GPU
$0.331/hr
Median / GPU
12 GB
VRAM
Blackwell
Architecture

Last updated: 2026-10-10 17:57:37 UTCRefreshes hourly

Specs side by side

SpecAMD MI300XRTX 5070
VRAM192 GB12 GB
Memory bandwidth5.3 TB/s672 GB/s
ArchitectureCDNA3Blackwell
Compute capabilityn/a12.0
Precisions in hardwareFP32, FP16, BF16, FP8, INT4FP32, FP16, BF16, FP8, INT4
Peak FP16/BF16 tensor TFLOPS1,307.4 TFLOPS123.5 TFLOPS
Peak FP8 tensor TFLOPS2,614.9 TFLOPS246.9 TFLOPS
NVLink / multi-GPU interconnectInfinity Fabric–
Max board power (TDP)750W250W
Regions21

On-demand price

RateAMD MI300XRTX 5070
Lowest per GPU/hr$2.63/GPU/hr$0.331/GPU/hr (cheapest overall)

Which is better for AI: AMD MI300X or RTX 5070?

Choose the AMD MI300X when 192 GB of VRAM is the gating requirement. Choose the RTX 5070 when 12 GB is enough for the workload and the lower hourly rate points that way.

AMD MI300X vs RTX 5070: common questions

Is the AMD MI300X or the RTX 5070 better for AI?

Short answer: choose the AMD MI300X when 192 GB of VRAM is the gating requirement. Choose the RTX 5070 when 12 GB is enough for the workload and the lower hourly rate points that way.

Is the AMD MI300X or the RTX 5070 cheaper to rent?

On Aquanode's live marketplace the AMD MI300X starts at $2.63/GPU/hr (median $2.63/GPU/hr) and the RTX 5070 starts at $0.331/GPU/hr (median $0.331/GPU/hr). The RTX 5070 is the cheaper of the two at the entry rate, by 87%.

What is the difference between the AMD MI300X and the RTX 5070?

The AMD MI300X has 192 GB of VRAM against the RTX 5070's 12 GB; the AMD MI300X is a CDNA3 part and the RTX 5070 is Blackwell; both run BF16, FP8, INT4 workloads in hardware. On price, the AMD MI300X lists from $2.63/GPU/hr and the RTX 5070 from $0.331/GPU/hr.

How widely available are the AMD MI300X and the RTX 5070?

The AMD MI300X is listed in 2 regions and the RTX 5070 in 1 region right now.

How much does 1,000 GPU-hours cost on the AMD MI300X vs the RTX 5070?

At the lowest rates listed today, 1,000 GPU-hours costs $2,629 on the AMD MI300X and $331 on the RTX 5070, a difference of $2,298 for the same runtime. Rates are per GPU per hour and update hourly.

How much VRAM does the AMD MI300X have compared to the RTX 5070?

The AMD MI300X has 192 GB of VRAM; the RTX 5070 has 12 GB.

Does the AMD MI300X or the RTX 5070 support NVLink?

The AMD MI300X supports Infinity Fabric; the RTX 5070 has no dedicated GPU-to-GPU interconnect.

How this comparison is calculated

Every price is normalized to a per-GPU hourly rate using the same pipeline as every other pricing surface on Aquanode, and only the cheapest qualifying offer per provider is shown. A dash means that provider does not currently list that GPU.

Architecture, compute capability and supported precisions come from each vendor's published datasheet for that generation, not from the marketplace feed. This page regenerates at most once per hour.

Memory bandwidth, tensor TFLOPS, NVLink/interconnect and max board power are the same verified-from-datasheet figures shown on each model's own AMD MI300X page and RTX 5070 page, which link the primary vendor source for that model. A dash here means Aquanode hasn't verified that figure from a primary source yet, never a guess.

Go further

Check what fits in each card's memory with the AMD MI300X VRAM calculator and the RTX 5070 VRAM calculator, see vendor-published throughput in the GPU benchmarks and specs table, or browse every model by generation in the GPU index.

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