GPU comparison

MI300X vs RTX 5060

Specifications and current cloud pricing, side by side.

CDNA 3vsBlackwellUpdated 33 days ago

The MI300X wins for the most common large scale training use case because its 192 GB HBM3 capacity and 1307.4 TFLOPS FP16 dense rating exceed the RTX 5060 limits by wide margins on every published high precision metric.

MI300X listed from $2.99/GPU/hrRTX 5060 listed from $0.16/GPU/hr

Right now, from live stock

  • Cheapest right now: MI300X at $2.99/hr on Hot Aisle

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  • Most providers in stock: MI300X (1)

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Specifications Compared

SpecMI300XRTX 5060
TDP750W145W
VRAM192 GB8-16 GB
CUDA CoresNot published3,840
FP8 (dense)2,614.9 TFLOPSNot published
Memory TypeHBM3GDDR7
ArchitectureCDNA 3Blackwell
FP16 (dense)1,307.4 TFLOPSNot published
Form FactorsOAMPCIe
INT8 (dense)2,614.9 TOPSNot published
InterconnectInfinity Fabric, PCIe 5.0PCIe 5.0
Tensor CoresNot published120
FP32 Performance163.4 TFLOPS19.2 TFLOPS
FP64 Performance81.7 TFLOPSNot published
Memory Bandwidth5,300 GB/s448 GB/s
FP4 (with sparsity)Not published614 TFLOPS
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 FP16 dense figure of 1307.4 TFLOPS stands 8 times its FP32 value of 163.4 TFLOPS and supports larger batch sizes during training through the 5300 GB/s bandwidth. The MI300X FP16 with sparsity figure of 2614.9 TFLOPS doubles the dense value and further accelerates inference steps that tolerate sparsity. The RTX 5060 supplies no FP16 figure and therefore cannot be compared on that metric. Its FP4 with sparsity figure of 614 TFLOPS remains isolated to low precision paths. Memory bandwidth differences of 5300 GB/s versus 448 GB/s directly limit batch sizes on the RTX 5060 for any precision where data movement dominates.

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

ProviderRegionGPUsPer GPU / hrInstance / hrDeploy
Hot AisleMichigan1$2.99—Deploy

1 provider in stock, 1 offer. All MI300X offers, price history and alerts

RTX 5060

RTX 5060 is not offered on-demand by any provider we track right now. See the RTX 5060 rental page for last-seen listed prices and a price alert.

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When to Choose the MI300X

The MI300X suits LLM training runs that require 192 GB HBM3 capacity to hold full models without partitioning. Its 5300 GB/s bandwidth sustains large batch sizes during FP16 dense operations at 1307.4 TFLOPS. The 750 W TDP fits installations that already accommodate high power draw.

When to Choose the RTX 5060

The RTX 5060 suits inference tasks that fit within 8 GB to 16 GB GDDR7 and operate at the 145 W TDP limit. Its FP4 with sparsity performance of 614 TFLOPS handles lighter workloads where the 448 GB/s bandwidth suffices. The PCIe form factor integrates into standard consumer systems without OAM infrastructure.

Use Cases

LLM Training
MI300X

The MI300X 192 GB HBM3 memory holds models that exceed the RTX 5060 16 GB ceiling while its 1307.4 TFLOPS FP16 dense rating accelerates matrix operations.

LLM Inference
MI300X

The MI300X 2614.9 TFLOPS FP16 with sparsity rating and 5300 GB/s bandwidth support higher throughput than the RTX 5060 FP4 with sparsity rating of 614 TFLOPS.

Fine-tuning
MI300X

The MI300X 192 GB capacity accommodates full parameter updates at 163.4 TFLOPS FP32 without the memory constraints of the RTX 5060 8-16 GB range.

Stable Diffusion
RTX 5060

The RTX 5060 145 W TDP and PCIe form factor fit consumer hardware while its FP4 with sparsity rating of 614 TFLOPS handles image generation workloads.

Scientific Computing
MI300X

The MI300X 163.4 TFLOPS FP32 rating combined with 5300 GB/s bandwidth processes large scientific datasets that exceed RTX 5060 memory limits.

Frequently Asked Questions

What is the FP32 performance of each GPU?▾

The MI300X reaches 163.4 TFLOPS in FP32. The RTX 5060 reaches 19.2 TFLOPS in FP32. The ratio shows the MI300X delivers higher throughput on double precision workloads.

Which GPU offers higher memory bandwidth?▾

The MI300X lists 5300 GB/s while the RTX 5060 lists 448 GB/s. Bandwidth directly affects achievable batch sizes during training and inference.

What power draw does each card require?▾

The MI300X requires 750 W TDP. The RTX 5060 requires 145 W TDP. Installations must match available power and cooling to these values.

Can the RTX 5060 run FP16 workloads at the same scale as the MI300X?▾

The RTX 5060 publishes no FP16 figure. The MI300X publishes 1307.4 TFLOPS FP16 dense and 2614.9 TFLOPS FP16 with sparsity so direct comparison remains limited to published metrics.

What interconnect options exist for each GPU?▾

The MI300X supports Infinity Fabric and PCIe 5.0. The RTX 5060 supports PCIe 5.0 only. Multi GPU scaling therefore differs by fabric availability.

Which is cheaper to rent, the MI300X or the RTX 5060?▾

Cloud rental prices for both the MI300X and RTX 5060 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 RTX 5060?▾

The MI300X has 192 GB of HBM3 memory. The RTX 5060 has 8 to 16 GB of GDDR7 memory.

Can I find MI300X and RTX 5060 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 RTX 5060?▾

The MI300X uses the CDNA 3 architecture (2023) while the RTX 5060 uses Blackwell (2025). The MI300X has 192 GB of HBM3 at 5,300 GB/s; the RTX 5060 has 8-16 GB of GDDR7 at 448 GB/s, so the MI300X has 11.8x the memory bandwidth of the RTX 5060.

Rent these GPUs

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How this page is made

  • Specifications come from the NVIDIA, AMD and Intel datasheets for the MI300X and the RTX 5060. 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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