GPU comparison

MI300X vs Quadro P5000

Specifications and current cloud pricing, side by side.

CDNA 3vsPascalUpdated 34 days ago

The MI300X wins for the most common use case of LLM Training because its 192 GB memory and 1307.4 TFLOPS FP16 dense rating exceed the Quadro P5000 capabilities by wide margins in every listed metric.

MI300X listed from $0.95/GPU/hrQuadro P5000 listed from $0.78/GPU/hr

Right now, from live stock

  • Cheapest right now: Quadro P5000 at $0.78/hr on Paperspace

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  • Most providers in stock: Quadro P5000 (1)

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Specifications Compared

SpecMI300XQuadro P5000
TDP750W180W
VRAM192 GB16 GB
CUDA CoresNot published2,560
FP8 (dense)2,614.9 TFLOPSNot published
Memory TypeHBM3GDDR5X
ArchitectureCDNA 3Pascal
FP16 (dense)1,307.4 TFLOPSNot published
Form FactorsOAMPCIe
INT8 (dense)2,614.9 TOPSNot published
InterconnectInfinity Fabric, PCIe 5.0PCIe 3.0
FP32 Performance163.4 TFLOPS8.9 TFLOPS
FP64 Performance81.7 TFLOPSNot published
Memory Bandwidth5,300 GB/s288 GB/s
FP8 (with sparsity)5,229.8 TFLOPSNot published
FP16 (with sparsity)2,614.9 TFLOPSNot published
INT8 (with sparsity)5,229.8 TOPSNot published

Performance Analysis

The MI300X achieves 1307.4 TFLOPS in FP16 dense operations compared to the Quadro P5000 FP32 rating of 8.9 TFLOPS. This FP16 dense to FP32 ratio on the MI300X reaches 1307.4 divided by 163.4 and supports larger batch sizes during training and inference workloads. Memory bandwidth of 5300 GB/s on the MI300X versus 288 GB/s on the Quadro P5000 further enables higher throughput for data movement in dense FP16 scenarios.

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.

Quadro P5000

ProviderRegionGPUsPer GPU / hrInstance / hrDeploy
Paperspaceca12$0.78$1.56Deploy

1 provider in stock, 6 offers (cheapest per provider shown). All Quadro P5000 offers, price history and alerts

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When to Choose the MI300X

The MI300X suits scenarios that require 192 GB HBM3 memory and 5300 GB/s bandwidth for handling extensive model states. Its 1307.4 TFLOPS FP16 dense rating and 2614.9 TFLOPS FP16 with sparsity rating fit training and inference pipelines that benefit from CDNA 3 architecture at 750W TDP.

When to Choose the Quadro P5000

The Quadro P5000 fits environments limited to 180W TDP and PCIe form factor with 16 GB GDDR5X memory. Its 8.9 TFLOPS FP32 performance and PCIe 3.0 interconnect serve legacy applications that do not demand high bandwidth or advanced tensor operations.

Use Cases

LLM Training
MI300X

The MI300X supplies 192 GB HBM3 memory and 1307.4 TFLOPS FP16 dense performance for large model training.

LLM Inference
MI300X

The MI300X delivers 2614.9 TFLOPS FP8 dense performance along with 5300 GB/s bandwidth to support inference at scale.

Fine-tuning
MI300X

The MI300X provides 192 GB memory capacity and 163.4 TFLOPS FP32 to accommodate fine-tuning workloads.

Stable Diffusion
MI300X

The MI300X offers 5300 GB/s memory bandwidth and 2614.9 TFLOPS FP16 with sparsity for image generation tasks.

Scientific Computing
MI300X

The MI300X achieves 163.4 TFLOPS FP32 and 750W TDP rating suited to compute intensive scientific applications.

Frequently Asked Questions

What is the memory difference between MI300X and Quadro P5000?▾

The MI300X contains 192 GB HBM3 memory while the Quadro P5000 contains 16 GB GDDR5X memory. This difference affects capacity for large datasets.

How does FP32 performance compare on these GPUs?▾

The MI300X reaches 163.4 TFLOPS in FP32 while the Quadro P5000 reaches 8.9 TFLOPS in FP32. The gap influences scientific computing speed.

What interconnect options exist for each GPU?▾

The MI300X supports Infinity Fabric and PCIe 5.0 while the Quadro P5000 supports PCIe 3.0. These options determine system integration paths.

Which GPU has higher memory bandwidth?▾

The MI300X provides 5300 GB/s bandwidth compared to 288 GB/s on the Quadro P5000. Bandwidth directly impacts data transfer rates.

What are the TDP ratings for MI300X and Quadro P5000?▾

The MI300X lists 750W TDP and the Quadro P5000 lists 180W TDP. Power requirements guide infrastructure planning.

Does the Quadro P5000 publish FP16 figures?▾

The Quadro P5000 does not publish FP16 figures while the MI300X publishes 1307.4 TFLOPS FP16 dense. This limits direct low precision comparisons.

Which is cheaper to rent, the MI300X or the Quadro P5000?▾

Cloud rental prices for both the MI300X and Quadro P5000 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 Quadro P5000?▾

The MI300X has 192 GB of HBM3 memory. The Quadro P5000 has 16 GB of GDDR5X memory.

Can I find MI300X and Quadro P5000 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 Quadro P5000?▾

The MI300X uses the CDNA 3 architecture (2023) while the Quadro P5000 uses Pascal (2016). The MI300X has 192 GB of HBM3 at 5,300 GB/s; the Quadro P5000 has 16 GB of GDDR5X at 288 GB/s, so the MI300X has 18.4x the memory bandwidth of the Quadro P5000.

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How this page is made

  • Specifications come from the NVIDIA, AMD and Intel datasheets for the MI300X and the Quadro P5000. 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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