GPU comparison

MI250X vs RTX A4000

Specifications and current cloud pricing, side by side.

CDNA 2vsAmpereUpdated 34 days ago

The MI250X wins for the most common large-model training use case because its 128 GB memory, 3277 GB/s bandwidth, and 383 TFLOPS dense FP16 rating remove the capacity and throughput constraints present on the RTX A4000.

MI250X listed from $1.28/GPU/hrRTX A4000 listed from $0.76/GPU/hr

Right now, from live stock

  • Cheapest right now: RTX A4000 at $0.76/hr on Paperspace

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  • Most providers in stock: RTX A4000 (1)

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Specifications Compared

SpecMI250XRTX A4000
TDP560W140W
VRAM128 GB16-20 GB
CUDA CoresNot published6,144
Memory TypeHBM2eGDDR6
ArchitectureCDNA 2Ampere
FP16 (dense)383 TFLOPSNot published
Form FactorsOAMPCIe
INT8 (dense)383 TOPSNot published
InterconnectInfinity Fabric, PCIe 4.0PCIe 4.0
Tensor CoresNot published192
FP32 Performance47.9 TFLOPS19.2 TFLOPS
FP64 Performance47.9 TFLOPSNot published
Memory Bandwidth3,277 GB/s448 GB/s
FP16 (with sparsity)Not published153.4 TFLOPS

Performance Analysis

The MI250X supplies 383 TFLOPS in dense FP16 and 47.9 TFLOPS in FP32 while the RTX A4000 supplies 153.4 TFLOPS in FP16 with sparsity and 19.2 TFLOPS in FP32. This eightfold ratio between dense FP16 and FP32 on the MI250X supports large-scale training workloads that require high arithmetic intensity. Memory bandwidth of 3277 GB/s on the MI250X versus 448 GB/s on the RTX A4000 directly determines maximum batch size before data movement becomes the limiter. The 128 GB capacity on the MI250X further permits models that exceed the 16-20 GB limit of the RTX A4000 without model parallelism.

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.

RTX A4000

ProviderRegionGPUsPer GPU / hrInstance / hrDeploy
Paperspaceny22$0.76$1.52Deploy

1 provider in stock, 6 offers (cheapest per provider shown). All RTX A4000 offers, price history and alerts

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When to Choose the MI250X

The MI250X suits workloads that require the full 128 GB HBM2e capacity and 3277 GB/s bandwidth such as scientific computing with large tensors. Its 383 TFLOPS dense FP16 rating and Infinity Fabric interconnect also favor multi-GPU training clusters where dense arithmetic throughput matters most.

When to Choose the RTX A4000

The RTX A4000 fits environments constrained to 140W TDP and standard PCIe slots where 16-20 GB GDDR6 suffices for inference or fine-tuning of smaller models. Its 19.2 TFLOPS FP32 performance remains adequate for single-user desktop or workstation deployments that do not need the 560W power envelope of the MI250X.

Use Cases

LLM Training
MI250X

The MI250X supplies 128 GB memory and 383 TFLOPS dense FP16 that accommodate full-scale training runs exceeding the 16-20 GB limit of the RTX A4000.

LLM Inference
RTX A4000

The RTX A4000 operates at 140W TDP and fits standard PCIe servers where inference batches remain within 16-20 GB VRAM.

Fine-tuning
Either

Both GPUs handle fine-tuning when model size fits the 16-20 GB capacity of the RTX A4000 or the 128 GB capacity of the MI250X.

Stable Diffusion
RTX A4000

The RTX A4000 delivers 19.2 TFLOPS FP32 at 140W for image generation workloads that do not require the 3277 GB/s bandwidth of the MI250X.

Scientific Computing
MI250X

The MI250X provides 47.9 TFLOPS FP32 together with 128 GB HBM2e memory suited to large-scale simulation datasets.

Frequently Asked Questions

What is the power consumption difference?▾

The MI250X lists a TDP of 560W and the RTX A4000 lists a TDP of 140W. System design must therefore account for eight times higher power delivery on the MI250X.

Which GPU offers higher FP16 throughput?▾

The MI250X reaches 383 TFLOPS in dense FP16. The RTX A4000 reaches 153.4 TFLOPS in FP16 with sparsity.

Can the GPUs be installed in the same server?▾

The MI250X uses an OAM form factor while the RTX A4000 uses a PCIe form factor. Server chassis and power supplies must match the chosen form factor.

How does memory bandwidth affect training?▾

The MI250X provides 3277 GB/s bandwidth and the RTX A4000 provides 448 GB/s bandwidth. Higher bandwidth supports larger batch sizes before memory stalls occur.

What interconnect options exist?▾

The MI250X supports Infinity Fabric in addition to PCIe 4.0 while the RTX A4000 supports only PCIe 4.0. Multi-GPU scaling therefore differs between the two devices.

Which is cheaper to rent, the MI250X or the RTX A4000?▾

Cloud rental prices for both the MI250X and RTX A4000 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 RTX A4000?▾

The MI250X has 128 GB of HBM2e memory. The RTX A4000 has 16 to 20 GB of GDDR6 memory.

Can I find MI250X and RTX A4000 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 RTX A4000?▾

The MI250X uses the CDNA 2 architecture (2021) while the RTX A4000 uses Ampere (2021). The MI250X has 128 GB of HBM2e at 3,277 GB/s; the RTX A4000 has 16-20 GB of GDDR6 at 448 GB/s, so the MI250X has 7.3x the memory bandwidth of the RTX A4000.

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 RTX A4000. 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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