GPU comparison

MI300X vs Quadro P6000

Specifications and current cloud pricing, side by side.

CDNA 3vsPascalUpdated 33 days ago

The MI300X wins for the most common modern AI workloads because its 192 GB HBM3 VRAM, 5300 GB/s bandwidth, and 1,307.4 TFLOPS FP16 dense rating enable larger models and faster iteration than the Quadro P6000 24 GB GDDR5X VRAM and 12.6 TFLOPS FP32 rating can support.

MI300X listed from $0.95/GPU/hrQuadro P6000 listed from $1.10/GPU/hr

Right now, from live stock

  • Cheapest right now: Quadro P6000 at $1.10/hr on Paperspace

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  • Most providers in stock: Quadro P6000 (1)

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Specifications Compared

SpecMI300XQuadro P6000
TDP750W250W
VRAM192 GB24 GB
CUDA CoresNot published3,840
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 TFLOPS12.6 TFLOPS
FP64 Performance81.7 TFLOPSNot published
Memory Bandwidth5,300 GB/s432 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 FP32 rating of 163.4 TFLOPS exceeds the Quadro P6000 FP32 rating of 12.6 TFLOPS by a factor of thirteen. This gap indicates the MI300X can complete matrix operations in training and inference at substantially higher rates when workloads stay within FP32 precision. The MI300X further supplies 1,307.4 TFLOPS FP16 dense against no published FP16 figure for the Quadro P6000. Memory bandwidth of 5300 GB/s on the MI300X versus 432 GB/s on the Quadro P6000 permits larger batch sizes during both training and inference because data movement keeps pace with the higher arithmetic throughput of 1,307.4 TFLOPS FP16 dense and 2,614.9 TFLOPS FP16 with sparsity.

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 P6000

ProviderRegionGPUsPer GPU / hrInstance / hrDeploy
Paperspaceams11$1.10—Deploy

1 provider in stock, 6 offers (cheapest per provider shown). All Quadro P6000 offers, price history and alerts

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When to Choose the MI300X

The MI300X suits deployments that require 192 GB HBM3 VRAM and 5300 GB/s memory bandwidth for models that exceed 24 GB capacity. Its 1,307.4 TFLOPS FP16 dense rating and 163.4 TFLOPS FP32 rating support large scale training and inference where the 750W TDP is acceptable within the target infrastructure.

When to Choose the Quadro P6000

The Quadro P6000 fits environments limited to 250W TDP and PCIe 3.0 interconnect with workloads that remain under 24 GB VRAM. Its 12.6 TFLOPS FP32 rating suffices for legacy applications that do not require the higher arithmetic throughput or memory capacity of newer accelerators.

Use Cases

LLM Training
MI300X

The MI300X supplies 192 GB HBM3 VRAM and 1,307.4 TFLOPS FP16 dense to handle models that exceed the 24 GB limit of the Quadro P6000.

LLM Inference
MI300X

The MI300X 5300 GB/s memory bandwidth and 2,614.9 TFLOPS FP16 with sparsity sustain higher throughput than the Quadro P6000 432 GB/s bandwidth permits.

Fine-tuning
MI300X

The MI300X 163.4 TFLOPS FP32 and 192 GB capacity allow fine-tuning runs that fit within its memory while the Quadro P6000 24 GB capacity restricts model size.

Stable Diffusion
MI300X

The MI300X 1,307.4 TFLOPS FP16 dense rating accelerates diffusion steps beyond the Quadro P6000 12.6 TFLOPS FP32 rating.

Scientific Computing
MI300X

The MI300X 163.4 TFLOPS FP32 and 5300 GB/s bandwidth deliver faster simulation throughput than the Quadro P6000 12.6 TFLOPS FP32 and 432 GB/s bandwidth.

Frequently Asked Questions

What is the FP32 performance difference?▾

The MI300X reaches 163.4 TFLOPS FP32. The Quadro P6000 reaches 12.6 TFLOPS FP32.

Which GPU offers higher memory bandwidth?▾

The MI300X provides 5300 GB/s memory bandwidth. The Quadro P6000 provides 432 GB/s memory bandwidth.

What are the TDP ratings?▾

The MI300X has a 750W TDP. The Quadro P6000 has a 250W TDP.

Can the Quadro P6000 run modern large language models?▾

The Quadro P6000 24 GB GDDR5X VRAM limits model size. The MI300X 192 GB HBM3 VRAM accommodates larger models.

What interconnect does each GPU use?▾

The MI300X supports Infinity Fabric and PCIe 5.0. The Quadro P6000 supports PCIe 3.0.

Which is cheaper to rent, the MI300X or the Quadro P6000?▾

Cloud rental prices for both the MI300X and Quadro P6000 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 P6000?▾

The MI300X has 192 GB of HBM3 memory. The Quadro P6000 has 24 GB of GDDR5X memory.

Can I find MI300X and Quadro P6000 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 P6000?▾

The MI300X uses the CDNA 3 architecture (2023) while the Quadro P6000 uses Pascal (2016). The MI300X has 192 GB of HBM3 at 5,300 GB/s; the Quadro P6000 has 24 GB of GDDR5X at 432 GB/s, so the MI300X has 12.3x the memory bandwidth of the Quadro P6000.

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 Quadro P6000. 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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