GPU comparison

MI300X vs RTX 2060

Specifications and current cloud pricing, side by side.

CDNA 3vsTuringUpdated 33 days ago

The MI300X provides the stronger option for the most common AI related use cases because its 192 GB HBM3 memory and FP32 performance of 163.4 TFLOPS exceed the corresponding 6 to 12 GB GDDR6 memory and 6.5 TFLOPS on the RTX 2060 by wide margins.

MI300X listed from $0.95/GPU/hr

Specifications Compared

SpecMI300XRTX 2060
TDP750W160W
VRAM192 GB6-12 GB
CUDA CoresNot published1,920
FP8 (dense)2,614.9 TFLOPSNot published
Memory TypeHBM3GDDR6
ArchitectureCDNA 3Turing
FP16 (dense)1,307.4 TFLOPSNot published
Form FactorsOAMPCIe
INT8 (dense)2,614.9 TOPSNot published
InterconnectInfinity Fabric, PCIe 5.0PCIe 3.0
Tensor CoresNot published240
FP32 Performance163.4 TFLOPS6.5 TFLOPS
FP64 Performance81.7 TFLOPSNot published
Memory Bandwidth5,300 GB/s336 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 FP32 performance reaches 163.4 TFLOPS on the MI300X against 6.5 TFLOPS on the RTX 2060 which indicates substantially higher throughput for general compute workloads on the newer card. FP16 dense performance stands at 1307.4 TFLOPS on the MI300X with no corresponding figure published for the RTX 2060 so training and inference tasks that rely on FP16 dense operations gain from this specification alone. Memory bandwidth of 5300 GB/s on the MI300X versus 336 GB/s on the RTX 2060 permits larger batch sizes during model execution because data movement occurs at a higher rate. FP16 with sparsity reaches 2614.9 TFLOPS on the MI300X while FP16 dense remains at 1307.4 TFLOPS allowing direct comparison of like figures when sparsity is applied consistently.

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.

RTX 2060

RTX 2060 is not offered on-demand by any provider we track right now. See the RTX 2060 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 and inference workloads that require 192 GB of HBM3 memory and FP16 dense performance of 1307.4 TFLOPS. Its 5300 GB/s memory bandwidth supports large batch processing that exceeds the capacity of 6 to 12 GB GDDR6 memory on alternative cards.

When to Choose the RTX 2060

The RTX 2060 fits scenarios that operate within a 160W TDP limit and PCIe form factor where FP32 performance of 6.5 TFLOPS meets basic requirements. Its lower power draw and PCIe 3.0 interconnect align with systems that cannot accommodate 750W TDP or OAM form factors.

Use Cases

LLM Training
MI300X

The MI300X supplies 192 GB HBM3 memory and FP16 dense performance of 1307.4 TFLOPS that enable large model training.

LLM Inference
MI300X

FP16 dense performance of 1307.4 TFLOPS and 5300 GB/s bandwidth on the MI300X support high throughput inference.

Fine-tuning
MI300X

Memory capacity of 192 GB on the MI300X accommodates fine tuning of models beyond the 6 to 12 GB limit of the RTX 2060.

Stable Diffusion
MI300X

The MI300X delivers FP16 dense performance of 1307.4 TFLOPS and sufficient memory for diffusion workloads.

Scientific Computing
MI300X

FP32 performance of 163.4 TFLOPS on the MI300X surpasses 6.5 TFLOPS on the RTX 2060 for compute intensive tasks.

Frequently Asked Questions

What is the memory difference between MI300X and RTX 2060?▾

The MI300X contains 192 GB of HBM3 memory while the RTX 2060 contains 6 to 12 GB of GDDR6 memory. This difference affects maximum model sizes that fit in memory.

How does FP32 performance compare on these GPUs?▾

The MI300X reaches 163.4 TFLOPS in FP32 while the RTX 2060 reaches 6.5 TFLOPS in FP32. The higher figure supports greater throughput in scientific computing.

What interconnect options exist on each GPU?▾

The MI300X supports Infinity Fabric and PCIe 5.0 while the RTX 2060 supports PCIe 3.0. These specifications determine multi GPU scaling possibilities.

Which GPU handles larger batch sizes during inference?▾

The MI300X with 5300 GB/s memory bandwidth handles larger batch sizes than the RTX 2060 with 336 GB/s bandwidth. Bandwidth directly influences data transfer rates.

What TDP values apply to the MI300X and RTX 2060?▾

The MI300X lists a TDP of 750W and the RTX 2060 lists a TDP of 160W. Power requirements influence system design and cooling needs.

Does the MI300X publish FP16 performance figures?▾

The MI300X publishes FP16 dense performance at 1307.4 TFLOPS and FP16 with sparsity at 2614.9 TFLOPS. No FP16 figures appear for the RTX 2060.

Which is cheaper to rent, the MI300X or the RTX 2060?▾

Cloud rental prices for both the MI300X and RTX 2060 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 2060?▾

The MI300X has 192 GB of HBM3 memory. The RTX 2060 has 6 to 12 GB of GDDR6 memory.

Can I find MI300X and RTX 2060 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 2060?▾

The MI300X uses the CDNA 3 architecture (2023) while the RTX 2060 uses Turing (2019). The MI300X has 192 GB of HBM3 at 5,300 GB/s; the RTX 2060 has 6-12 GB of GDDR6 at 336 GB/s, so the MI300X has 15.8x the memory bandwidth of the RTX 2060.

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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 RTX 2060. 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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