GPU comparison

MI250X vs RTX 5090

Specifications and current cloud pricing, side by side.

CDNA 2vsBlackwellUpdated 33 days ago

The MI250X wins for the most common use case of LLM training because its 128 GB VRAM and 383 TFLOPS dense FP16 performance accommodate larger models than the 32 GB and 209.5 TFLOPS dense FP16 on the RTX 5090.

MI250X listed from $1.28/GPU/hrRTX 5090 listed from $0.87/GPU/hr

Right now, from live stock

  • Cheapest right now: RTX 5090 at $0.87/hr on Vast.ai

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  • Most providers in stock: RTX 5090 (2)

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Specifications Compared

SpecMI250XRTX 5090
TDP560W575W
VRAM128 GB32 GB
CUDA CoresNot published21,760
FP4 (dense)Not published1,676 TFLOPS
FP8 (dense)Not published419 TFLOPS
Memory TypeHBM2eGDDR7
ArchitectureCDNA 2Blackwell
FP16 (dense)383 TFLOPS209.5 TFLOPS
Form FactorsOAMPCIe
INT8 (dense)383 TOPS838 TOPS
InterconnectInfinity Fabric, PCIe 4.0PCIe 5.0
Tensor CoresNot published680
FP32 Performance47.9 TFLOPS104.8 TFLOPS
FP64 Performance47.9 TFLOPS1.6 TFLOPS
Memory Bandwidth3,277 GB/s1,792 GB/s
FP4 (with sparsity)Not published3,352 TFLOPS
FP8 (with sparsity)Not published838 TFLOPS
FP16 (with sparsity)Not published419 TFLOPS
INT8 (with sparsity)Not published1,676 TOPS

Performance Analysis

The FP16 dense performance of 383 TFLOPS on the MI250X exceeds the 209.5 TFLOPS dense FP16 on the RTX 5090 by a factor of approximately 1.8. This difference implies faster training iterations for models that fit in memory on the MI250X compared to the RTX 5090. The FP32 figure of 104.8 TFLOPS on the RTX 5090 surpasses the 47.9 TFLOPS on the MI250X which benefits inference tasks that rely on single precision calculations. Memory bandwidth of 3277 GB/s on the MI250X supports larger batch sizes than the 1792 GB/s available on the RTX 5090 for memory intensive operations. The 128 GB capacity further enables processing of bigger datasets without partitioning across multiple devices.

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 5090

ProviderRegionGPUsPer GPU / hrInstance / hrDeploy
Vast.aiAlberta, CA8$0.87$6.93Deploy
LeaderGPUThe Netherlands1$2.29—Deploy

2 providers in stock, 7 offers (cheapest per provider shown). All RTX 5090 offers, price history and alerts

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When to Choose the MI250X

The MI250X suits scenarios that require 128 GB memory capacity for training large language models that exceed the 32 GB limit of the RTX 5090. Its 3277 GB/s bandwidth also aids scientific computing workloads that transfer large volumes of data during simulations.

When to Choose the RTX 5090

The RTX 5090 fits consumer oriented tasks where 104.8 TFLOPS FP32 performance accelerates graphics related computations beyond the 47.9 TFLOPS of the MI250X. Its PCIe form factor allows easier integration into standard workstations.

Use Cases

LLM Training
MI250X

The MI250X with 128 GB VRAM supports training of models that require more memory than the 32 GB on the RTX 5090.

LLM Inference
RTX 5090

The RTX 5090 with 104.8 TFLOPS FP32 handles inference workloads that benefit from higher single precision throughput compared to 47.9 TFLOPS on the MI250X.

Fine-tuning
MI250X

The MI250X with 383 TFLOPS dense FP16 and 128 GB memory enables fine tuning of large models beyond the capacity of the 32 GB RTX 5090.

Stable Diffusion
RTX 5090

The RTX 5090 with 104.8 TFLOPS FP32 delivers suitable throughput for image generation tasks that align with its 32 GB GDDR7 configuration.

Scientific Computing
MI250X

The MI250X with 3277 GB/s bandwidth and 128 GB HBM2e handles data intensive simulations that exceed the 1792 GB/s and 32 GB limits of the RTX 5090.

Frequently Asked Questions

How does FP16 dense performance compare between the MI250X and RTX 5090?▾

The MI250X delivers 383 TFLOPS dense FP16 while the RTX 5090 delivers 209.5 TFLOPS dense FP16. The higher figure on the MI250X supports faster matrix operations in supported frameworks.

What FP32 performance do the MI250X and RTX 5090 provide?▾

The MI250X provides 47.9 TFLOPS FP32 while the RTX 5090 provides 104.8 TFLOPS FP32. The higher value on the RTX 5090 benefits workloads that depend on single precision arithmetic.

Which GPU has higher memory bandwidth?▾

The MI250X has 3277 GB/s memory bandwidth while the RTX 5090 has 1792 GB/s memory bandwidth. The higher bandwidth on the MI250X reduces data movement bottlenecks in bandwidth limited kernels.

What TDP ratings apply to the MI250X and RTX 5090?▾

The MI250X has a 560 W TDP while the RTX 5090 has a 575 W TDP. These power figures guide system level cooling and power supply requirements for each card.

What interconnect options exist on each GPU?▾

The MI250X uses Infinity Fabric and PCIe 4.0 while the RTX 5090 uses PCIe 5.0. The choices influence multi GPU scaling strategies in cluster deployments.

Which is cheaper to rent, the MI250X or the RTX 5090?▾

Cloud rental prices for both the MI250X and RTX 5090 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 5090?▾

The MI250X has 128 GB of HBM2e memory. The RTX 5090 has 32 GB of GDDR7 memory.

Can I find MI250X and RTX 5090 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 5090?▾

The MI250X uses the CDNA 2 architecture (2021) while the RTX 5090 uses Blackwell (2025). The MI250X delivers 1.8x the dense FP16 throughput (383 vs 209.5 TFLOPS, both without sparsity) and 1.8x the memory bandwidth of the RTX 5090.

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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 5090. 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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