GPU comparison

MI300X vs RTX 5080

Specifications and current cloud pricing, side by side.

CDNA 3vsBlackwellUpdated 29 days ago

The MI300X wins for the most common LLM training use case because its 192 GB memory and 1307.4 TFLOPS dense FP16 exceed the RTX 5080 capabilities by wide margins in both capacity and throughput.

MI300X listed from $0.95/GPU/hrRTX 5080 listed from $0.59/GPU/hr

Specifications Compared

SpecMI300XRTX 5080
TDP750W360W
VRAM192 GB16 GB
CUDA CoresNot published10,752
FP4 (dense)Not published900.4 TFLOPS
FP8 (dense)2,614.9 TFLOPS225.1 TFLOPS
Memory TypeHBM3GDDR7
ArchitectureCDNA 3Blackwell
FP16 (dense)1,307.4 TFLOPS112.6 TFLOPS
Form FactorsOAMPCIe
INT8 (dense)2,614.9 TOPS450.2 TOPS
InterconnectInfinity Fabric, PCIe 5.0PCIe 5.0
Tensor CoresNot published336
FP32 Performance163.4 TFLOPS56.3 TFLOPS
FP64 Performance81.7 TFLOPSNot published
Memory Bandwidth5,300 GB/s960 GB/s
FP4 (with sparsity)Not published1,801 TFLOPS
FP8 (with sparsity)5,229.8 TFLOPS450.2 TFLOPS
FP16 (with sparsity)2,614.9 TFLOPS225.1 TFLOPS
INT8 (with sparsity)5,229.8 TOPS900.4 TOPS

Performance Analysis

The MI300X delivers 1307.4 TFLOPS dense FP16 compared with 112.6 TFLOPS dense FP16 on the RTX 5080. This gap means the MI300X processes larger matrix operations in training workloads at higher throughput while the RTX 5080 remains limited to smaller batches. Memory bandwidth of 5300 GB/s on the MI300X versus 960 GB/s on the RTX 5080 further permits the MI300X to sustain larger batch sizes during inference without frequent data movement. When sparsity is enabled the MI300X reaches 2614.9 TFLOPS FP16 with sparsity against 225.1 TFLOPS FP16 with sparsity on the RTX 5080 so the same ordering holds for sparse workloads.

Current On-Demand Offers

Cheapest secure on-demand offer per provider that is reported in stock right now, per GPU per hour; multi-GPU instances show the whole-instance price alongside. Deploy opens the DeployGPU console for providers on the platform, otherwise the provider's own site. Stock is rechecked every minute.

MI300X

MI300X is not offered on-demand by any provider we track right now. See the MI300X rental page for last-seen listed prices and a price alert.

RTX 5080

RTX 5080 is not offered on-demand by any provider we track right now. See the RTX 5080 rental page for last-seen listed prices and a price alert.

Which GPU to watchWatch the price of

Notify me when MI300X drops below a price

One email when the cheapest in-stock on-demand price per GPU-hour falls below your threshold.

QuantaCloud

Comparing providers? We broker across all of them.

Stop tab-switching between pricing pages. Tell us what you need, 16+ GPUs reserved or cluster capacity, and we return one quote at partner rates within 24 hours.

No waitlist24hr quote turnaroundInfiniBand fabric

Compare real-time pricing across 25+ providers

When to Choose the MI300X

The MI300X suits LLM training jobs that require 192 GB HBM3 capacity to hold full model states. Its 5300 GB/s bandwidth and 1307.4 TFLOPS dense FP16 also accelerate scientific computing kernels that exceed the 16 GB limit of the RTX 5080.

When to Choose the RTX 5080

The RTX 5080 fits fine tuning tasks where 360W TDP and PCIe form factor reduce infrastructure demands. Its 112.6 TFLOPS dense FP16 remains adequate for Stable Diffusion workloads that fit inside 16 GB GDDR7.

Use Cases

LLM Training
MI300X

The MI300X provides 192 GB HBM3 and 1307.4 TFLOPS dense FP16 that accommodate full scale models.

LLM Inference
MI300X

The MI300X 5300 GB/s bandwidth supports larger batch sizes than the 960 GB/s on the RTX 5080.

Fine-tuning
RTX 5080

The RTX 5080 360W TDP and PCIe form factor suit lighter fine tuning workloads that fit in 16 GB.

Stable Diffusion
RTX 5080

The RTX 5080 16 GB GDDR7 and 112.6 TFLOPS dense FP16 handle image generation tasks efficiently.

Scientific Computing
MI300X

The MI300X 163.4 TFLOPS FP32 and high memory capacity accelerate simulation codes beyond RTX 5080 limits.

Frequently Asked Questions

What is the memory bandwidth difference between the two GPUs?▾

The MI300X reaches 5300 GB/s whereas the RTX 5080 reaches 960 GB/s. Higher bandwidth reduces data stalls during large matrix operations.

Which GPU offers higher dense FP16 performance?▾

The MI300X lists 1307.4 TFLOPS dense FP16 while the RTX 5080 lists 112.6 TFLOPS dense FP16. The MI300X therefore completes dense matrix work faster.

How do the power requirements compare?▾

The MI300X TDP is 750W and the RTX 5080 TDP is 360W. Lower power on the RTX 5080 reduces cooling and electricity needs in smaller deployments.

Can the RTX 5080 run models that require more than 16 GB?▾

No. The RTX 5080 is limited to 16 GB GDDR7 so models exceeding that capacity require the 192 GB HBM3 on the MI300X.

Which is cheaper to rent, the MI300X or the RTX 5080?▾

Cloud rental prices for both the MI300X and RTX 5080 vary by provider, configuration, and availability. This page shows live pricing from 25+ providers updated every 60 seconds. Scroll to the Live Cloud Pricing section to compare current rates.

How much VRAM does the MI300X have compared to the RTX 5080?▾

The MI300X has 192 GB of HBM3 memory. The RTX 5080 has 16 GB of GDDR7 memory.

Can I find MI300X and RTX 5080 GPUs available to rent right now?▾

Yes. This page shows real-time availability across 25+ cloud GPU providers. The Live Cloud Pricing section displays only in-stock offers with current pricing.

What is the main difference between the MI300X and the RTX 5080?▾

The MI300X uses the CDNA 3 architecture (2023) while the RTX 5080 uses Blackwell (2025). The MI300X delivers 11.6x the dense FP16 throughput (1,307.4 vs 112.6 TFLOPS, both without sparsity) and 5.5x the memory bandwidth of the RTX 5080.

Rent these GPUs

Each GPU page lists every current on-demand offer by provider, per GPU-hour, updated every minute.

Related comparisons

How this page is made

  • Specifications come from the NVIDIA, AMD and Intel datasheets for the MI300X and the RTX 5080. Dense and sparse throughput are listed separately.
  • Prices and availability are live: every offer shown is an in-stock, on-demand listing from a provider we track, rechecked every minute.
  • The written comparison (overview, performance notes, when to choose each card, verdict, use cases and FAQ) was drafted with an AI model from the specification table above and passed an automated check that rejects any figure not in that table. It was last generated on . It contains no prices; those are always read live.
  • Read how we collect the data, or report an error on this page.

Next steps