GPU comparison

MI250X vs Quadro P4000

Specifications and current cloud pricing, side by side.

CDNA 2vsPascalUpdated 33 days ago

The MI250X wins for the most common high performance workloads because its 128 GB memory, 3277 GB/s bandwidth, and 383 TFLOPS dense FP16 exceed the Quadro P4000 8 GB, 243 GB/s, and 5.3 TFLOPS FP32 by wide margins.

MI250X listed from $1.28/GPU/hrQuadro P4000 listed from $0.51/GPU/hr

Right now, from live stock

  • Cheapest right now: Quadro P4000 at $0.51/hr on Paperspace

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  • Most providers in stock: Quadro P4000 (1)

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Specifications Compared

SpecMI250XQuadro P4000
TDP560W105W
VRAM128 GB8 GB
CUDA CoresNot published1,792
Memory TypeHBM2eGDDR5
ArchitectureCDNA 2Pascal
FP16 (dense)383 TFLOPSNot published
Form FactorsOAMPCIe
INT8 (dense)383 TOPSNot published
InterconnectInfinity Fabric, PCIe 4.0PCIe 3.0
FP32 Performance47.9 TFLOPS5.3 TFLOPS
FP64 Performance47.9 TFLOPSNot published
Memory Bandwidth3,277 GB/s243 GB/s

Performance Analysis

The MI250X achieves 383 TFLOPS dense FP16 and 47.9 TFLOPS FP32 while the Quadro P4000 lists no published FP16 value and 5.3 TFLOPS FP32. This dense FP16 advantage on the MI250X supports larger model training steps and inference throughput compared with the Quadro P4000 FP32 baseline alone. Memory bandwidth of 3277 GB/s on the MI250X permits substantially larger batch sizes than the 243 GB/s on the Quadro P4000 which constrains data movement in memory intensive operations. The 383 TOPS dense INT8 rating on the MI250X further widens the gap for integer workloads against the Quadro P4000 which has no published INT8 figure.

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.

MI250X

MI250X is not offered on-demand by any provider we track right now. See the MI250X rental page for last-seen listed prices and a price alert.

Quadro P4000

ProviderRegionGPUsPer GPU / hrInstance / hrDeploy
Paperspaceams11$0.51—Deploy

1 provider in stock, 6 offers (cheapest per provider shown). All Quadro P4000 offers, price history and alerts

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When to Choose the MI250X

The MI250X suits workloads that require 128 GB HBM2e memory and 383 TFLOPS dense FP16 such as large scale scientific simulations or model training that exceed 8 GB capacity. Its 3277 GB/s bandwidth and OAM form factor support sustained high throughput on Infinity Fabric links where the Quadro P4000 243 GB/s limit becomes a bottleneck.

When to Choose the Quadro P4000

The Quadro P4000 fits legacy applications that operate within 8 GB GDDR5 and 5.3 TFLOPS FP32 at a 105W TDP in standard PCIe slots. Its lower power draw and established Pascal architecture serve basic rendering or compute tasks that do not need the 128 GB scale of the MI250X.

Use Cases

LLM Training
MI250X

The MI250X 128 GB HBM2e and 383 TFLOPS dense FP16 accommodate large models that exceed the Quadro P4000 8 GB limit.

LLM Inference
MI250X

The MI250X 383 TFLOPS dense FP16 and 3277 GB/s bandwidth enable higher throughput than the Quadro P4000 5.3 TFLOPS FP32.

Fine-tuning
MI250X

The MI250X 128 GB capacity and 383 TOPS dense INT8 support fine-tuning passes beyond the Quadro P4000 8 GB VRAM.

Stable Diffusion
Quadro P4000

The Quadro P4000 5.3 TFLOPS FP32 and 105W TDP handle basic diffusion workloads within its 8 GB GDDR5 without excess power draw.

Scientific Computing
MI250X

The MI250X 47.9 TFLOPS FP32 and 3277 GB/s bandwidth accelerate scientific kernels that require more memory than the Quadro P4000 243 GB/s provides.

Frequently Asked Questions

What is the FP32 performance of each GPU?▾

The MI250X reaches 47.9 TFLOPS FP32 and the Quadro P4000 reaches 5.3 TFLOPS FP32. The ratio shows the MI250X supplies over nine times the FP32 throughput.

Does the MI250X publish an FP16 figure?▾

The MI250X lists 383 TFLOPS dense FP16 while the Quadro P4000 lists no published FP16 value. Workloads relying on dense FP16 must therefore use the MI250X specification.

What TDP values are listed for these GPUs?▾

The MI250X lists 560W TDP and the Quadro P4000 lists 105W TDP. Power budgets therefore differ by a factor of more than five.

Which interconnect does each GPU use?▾

The MI250X uses Infinity Fabric and PCIe 4.0 while the Quadro P4000 uses PCIe 3.0. Data transfer rates between GPUs therefore favor the MI250X configuration.

Which is cheaper to rent, the MI250X or the Quadro P4000?▾

Cloud rental prices for both the MI250X and Quadro P4000 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 MI250X have compared to the Quadro P4000?▾

The MI250X has 128 GB of HBM2e memory. The Quadro P4000 has 8 GB of GDDR5 memory.

Can I find MI250X and Quadro P4000 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 MI250X and the Quadro P4000?▾

The MI250X uses the CDNA 2 architecture (2021) while the Quadro P4000 uses Pascal (2017). The MI250X has 128 GB of HBM2e at 3,277 GB/s; the Quadro P4000 has 8 GB of GDDR5 at 243 GB/s, so the MI250X has 13.5x the memory bandwidth of the Quadro P4000.

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 MI250X and the Quadro P4000. 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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