GPU comparison

MI300X vs RTX A5000

Specifications and current cloud pricing, side by side.

CDNA 3vsAmpereUpdated 34 days ago

The MI300X wins for the most common use case of LLM training because its 192 GB HBM3 VRAM and 1307.4 TFLOPS dense FP16 rating enable larger models than the 24 GB capacity and 222.2 TFLOPS sparse FP16 rating of the RTX A5000.

MI300X listed from $0.95/GPU/hrRTX A5000 listed from $0.23/GPU/hr

Right now, from live stock

  • Cheapest right now: RTX A5000 at $0.23/hr on Vast.ai

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  • Most providers in stock: RTX A5000 (2)

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Specifications Compared

SpecMI300XRTX A5000
TDP750W230W
VRAM192 GB24 GB
CUDA CoresNot published8,192
FP8 (dense)2,614.9 TFLOPSNot published
Memory TypeHBM3GDDR6
ArchitectureCDNA 3Ampere
FP16 (dense)1,307.4 TFLOPSNot published
Form FactorsOAMPCIe
INT8 (dense)2,614.9 TOPSNot published
InterconnectInfinity Fabric, PCIe 5.0NVLink, PCIe 4.0
Tensor CoresNot published256
FP32 Performance163.4 TFLOPS27.8 TFLOPS
FP64 Performance81.7 TFLOPSNot published
Memory Bandwidth5,300 GB/s768 GB/s
FP8 (with sparsity)5,229.8 TFLOPSNot published
FP16 (with sparsity)2,614.9 TFLOPS222.2 TFLOPS
INT8 (with sparsity)5,229.8 TOPSNot published

Performance Analysis

The MI300X delivers dense FP16 performance at 1307.4 TFLOPS which exceeds the sparse FP16 performance at 222.2 TFLOPS on the RTX A5000 by a factor derived solely from those published figures. Memory bandwidth at 5300 GB/s on the MI300X supports larger batch sizes than the 768 GB/s bandwidth on the RTX A5000 during both training and inference operations. The MI300X also lists dense FP8 at 2614.9 TFLOPS and sparse FP8 at 5229.8 TFLOPS while the RTX A5000 publishes no FP8 figures. FP32 throughput at 163.4 TFLOPS on the MI300X compared with 27.8 TFLOPS on the RTX A5000 indicates different scaling for precision sensitive scientific 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 A5000

ProviderRegionGPUsPer GPU / hrInstance / hrDeploy
Vast.aiRomania, RO1$0.23—Deploy
Paperspaceny24$1.38$5.52Deploy

2 providers in stock, 9 offers (cheapest per provider shown). All RTX A5000 offers, price history and alerts

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When to Choose the MI300X

The MI300X suits scenarios that demand 192 GB HBM3 capacity for models exceeding the 24 GB limit of the RTX A5000. Its 5300 GB/s bandwidth and 1307.4 TFLOPS dense FP16 rating further support large scale training sessions where the 750W TDP remains acceptable.

When to Choose the RTX A5000

The RTX A5000 suits scenarios that require 230W TDP operation and PCIe form factor compatibility where the 24 GB GDDR6 capacity meets workload needs. Its 27.8 TFLOPS FP32 rating provides sufficient throughput for lighter inference tasks without the higher power draw of the MI300X.

Use Cases

LLM Training
MI300X

The MI300X supplies 192 GB HBM3 VRAM and 1307.4 TFLOPS dense FP16 which accommodate models beyond the 24 GB limit of the RTX A5000.

LLM Inference
MI300X

The MI300X provides 5300 GB/s bandwidth and 2614.9 TFLOPS dense FP8 which sustain higher throughput than the 768 GB/s bandwidth of the RTX A5000.

Fine-tuning
MI300X

The MI300X offers 192 GB capacity and 163.4 TFLOPS FP32 which handle parameter updates larger than those supported by the 24 GB VRAM of the RTX A5000.

Stable Diffusion
RTX A5000

The RTX A5000 operates at 230W TDP with PCIe form factor which fits consumer scale deployments where 24 GB GDDR6 suffices.

Scientific Computing
MI300X

The MI300X delivers 163.4 TFLOPS FP32 and 5300 GB/s bandwidth which accelerate precision calculations beyond the 27.8 TFLOPS FP32 of the RTX A5000.

Frequently Asked Questions

How does FP16 performance compare on MI300X versus RTX A5000?▾

The MI300X lists 1307.4 TFLOPS dense FP16 and 2614.9 TFLOPS with sparsity. The RTX A5000 lists 222.2 TFLOPS with sparsity and no dense FP16 figure.

What TDP values apply to each GPU?▾

The MI300X carries a 750W TDP rating. The RTX A5000 carries a 230W TDP rating. These values affect power infrastructure requirements.

Which interconnects does each GPU support?▾

The MI300X supports Infinity Fabric and PCIe 5.0. The RTX A5000 supports NVLink and PCIe 4.0. These specifications influence multi GPU scaling options.

What memory bandwidth figures are published?▾

The MI300X reaches 5300 GB/s. The RTX A5000 reaches 768 GB/s. Bandwidth directly limits data movement rates during computation.

Which is cheaper to rent, the MI300X or the RTX A5000?▾

Cloud rental prices for both the MI300X and RTX A5000 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 A5000?▾

The MI300X has 192 GB of HBM3 memory. The RTX A5000 has 24 GB of GDDR6 memory.

Can I find MI300X and RTX A5000 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 A5000?▾

The MI300X uses the CDNA 3 architecture (2023) while the RTX A5000 uses Ampere (2021). The MI300X has 192 GB of HBM3 at 5,300 GB/s; the RTX A5000 has 24 GB of GDDR6 at 768 GB/s, so the MI300X has 6.9x the memory bandwidth of the RTX A5000.

Rent these GPUs

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Related comparisons

How this page is made

  • Specifications come from the NVIDIA, AMD and Intel datasheets for the MI300X and the RTX A5000. 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.

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