AMD MI300X vs V100: Specs, VRAM & Price

Short answer: choose the AMD MI300X when 192 GB of VRAM is the gating requirement. Choose the V100 when 32 GB is enough for the workload and the lower hourly rate points that way.

The AMD MI300X has 192 GB of VRAM; the V100 has 32 GB.

You can rent both by the hour, no purchase required. AMD MI300X from $3.29/GPU/hr; V100 from $0.110/GPU/hr. The V100 is 97% cheaper at the entry rate.

AMD MI300X

Good for training and serving frontier-scale LLMs

$3.29/hr
Lowest / GPU
$3.29/hr
Median / GPU
192 GB
VRAM
CDNA3
Architecture

V100

Good for inference workloads on older-generation hardware

$0.110/hr
Lowest / GPU
$0.187/hr
Median / GPU
32 GB
VRAM
Volta
Architecture

Last updated: 2026-10-16 UTCRefreshes every 6 hours

Specs side by side

SpecAMD MI300XV100
VRAM192 GB32 GB
Memory bandwidth5.3 TB/s900 GB/s
ArchitectureCDNA3Volta
Compute capabilityn/a7.0
Precisions in hardwareFP32, FP16, BF16, FP8, INT4FP32, FP16
Peak FP16/BF16 tensor TFLOPS1,307.4 TFLOPS125 TFLOPS (SXM2), 112 TFLOPS (PCIe)
Peak FP8 tensor TFLOPS2,614.9 TFLOPS–
NVLink / multi-GPU interconnectInfinity FabricNVLink, 300 GB/s (SXM2 only)
Max board power (TDP)750W300W (SXM2), 250W (PCIe)
Form factor–PCIe 3.0 x16
Regions13

On-demand price

RateAMD MI300XV100
Lowest per GPU/hr$3.29/GPU/hr$0.110/GPU/hr (cheapest overall)

Which is better for AI: AMD MI300X or V100?

Choose the AMD MI300X when 192 GB of VRAM is the gating requirement. Choose the V100 when 32 GB is enough for the workload and the lower hourly rate points that way.

AMD MI300X vs V100: common questions

Is the AMD MI300X or the V100 better for AI?

Short answer: choose the AMD MI300X when 192 GB of VRAM is the gating requirement. Choose the V100 when 32 GB is enough for the workload and the lower hourly rate points that way.

Is the AMD MI300X or the V100 cheaper to rent?

On Aquanode's live marketplace the AMD MI300X starts at $3.29/GPU/hr (median $3.29/GPU/hr) and the V100 starts at $0.110/GPU/hr (median $0.187/GPU/hr). The V100 is the cheaper of the two at the entry rate, by 97%.

What is the difference between the AMD MI300X and the V100?

The AMD MI300X has 192 GB of VRAM against the V100's 32 GB; the AMD MI300X is a CDNA3 part and the V100 is Volta; only the AMD MI300X supports BF16, FP8, INT4 compute. On price, the AMD MI300X lists from $3.29/GPU/hr and the V100 from $0.110/GPU/hr.

How widely available are the AMD MI300X and the V100?

The AMD MI300X is listed in 1 region and the V100 in 3 regions right now.

How much does 1,000 GPU-hours cost on the AMD MI300X vs the V100?

At the lowest rates listed today, 1,000 GPU-hours costs $3,289 on the AMD MI300X and $110 on the V100, a difference of $3,179 for the same runtime. Rates are per GPU per hour and update hourly.

How much VRAM does the AMD MI300X have compared to the V100?

The AMD MI300X has 192 GB of VRAM; the V100 has 32 GB.

Does the AMD MI300X or the V100 support NVLink?

Yes, both support a multi-GPU interconnect: the AMD MI300X has Infinity Fabric and the V100 has NVLink, 300 GB/s (SXM2 only).

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 V100 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 V100 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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