GPU comparison

MI300X vs RTX PRO 6000

Specifications and current cloud pricing, side by side.

CDNA 3vsBlackwellUpdated 17 days ago

The MI300X wins for the most common use case of LLM training because its 192 GB VRAM, 5300 GB/s bandwidth, and 1307.4 TFLOPS dense FP16 exceed the corresponding RTX PRO 6000 specifications by substantial margins.

MI300X from $2.99/GPU/hrRTX PRO 6000 from $0.59/GPU/hr

Right now, from live stock

  • Cheapest right now: RTX PRO 6000 at $0.59/hr on RunPod

    Deploy
  • Most providers in stock: RTX PRO 6000 (6)

    See all offers
  • Best $ per TFLOPS FP16 dense right now: RTX PRO 6000 ($0.0012 per TFLOPS-hour at 503.8 TFLOPS)

    Deploy

Specifications Compared

SpecMI300XRTX PRO 6000
TDP750W600W
VRAM192 GB96 GB
CUDA CoresNot published24,064
FP4 (dense)Not published2,015.2 TFLOPS
FP8 (dense)2,614.9 TFLOPS1,007.6 TFLOPS
Memory TypeHBM3GDDR7
ArchitectureCDNA 3Blackwell
FP16 (dense)1,307.4 TFLOPS503.8 TFLOPS
Form FactorsOAMPCIe
INT8 (dense)2,614.9 TOPS1,007.6 TOPS
InterconnectInfinity Fabric, PCIe 5.0PCIe 5.0
Tensor CoresNot published752
FP32 Performance163.4 TFLOPS126 TFLOPS
FP64 Performance81.7 TFLOPSNot published
Memory Bandwidth5,300 GB/s1,792 GB/s
FP4 (with sparsity)Not published4,030.4 TFLOPS
FP8 (with sparsity)5,229.8 TFLOPS2,015.2 TFLOPS
FP16 (with sparsity)2,614.9 TFLOPS1,007.6 TFLOPS
INT8 (with sparsity)5,229.8 TOPS2,015.2 TOPS

Performance Analysis

Dense FP16 performance of 1307.4 TFLOPS on the MI300X exceeds the 503.8 TFLOPS dense FP16 figure on the RTX PRO 6000 by a factor of 2.6. This gap means the MI300X supports larger batch sizes during training and inference when memory bandwidth of 5300 GB/s is available versus 1792 GB/s. FP32 throughput of 163.4 TFLOPS on the MI300X surpasses 126 TFLOPS on the RTX PRO 6000. Sparse FP16 ratings of 2614.9 TFLOPS versus 1007.6 TFLOPS follow the same proportion. Higher memory capacity of 192 GB enables models that exceed the 96 GB limit without partitioning.

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 AisleMichigan2$2.99$5.98Deploy

1 provider in stock, 2 offers (cheapest per provider shown). All MI300X offers, price history and alerts

RTX PRO 6000

ProviderRegionGPUsPer GPU / hrInstance / hrDeploy
RunPodglobal1$0.59—Deploy
Vast.aiCzechia, CZ1$1.81—Deploy
LeaderGPUThe Netherlands1$2.04—Deploy
VERDAFIN-HEL8$2.04$16.35Deploy
Massed Computeus-central-91$2.19—Deploy

6 providers in stock, 19 offers (cheapest per provider shown). All RTX PRO 6000 offers, price history and alerts

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When to Choose the MI300X

The MI300X suits workloads that require maximum memory capacity of 192 GB HBM3 and bandwidth of 5300 GB/s. Its dense FP16 rating of 1307.4 TFLOPS combined with Infinity Fabric interconnect supports large scale training sessions on single devices. The 750W TDP is acceptable when raw capacity takes priority over power draw.

When to Choose the RTX PRO 6000

The RTX PRO 6000 fits deployments that value the 600W TDP and PCIe form factor for easier integration. Its FP4 dense performance of 2015.2 TFLOPS provides options for lower precision inference that the MI300X does not list. The 96 GB GDDR7 configuration remains adequate for medium scale tasks where 1792 GB/s bandwidth suffices.

Use Cases

LLM Training
MI300X

The MI300X provides 192 GB VRAM and 1307.4 TFLOPS dense FP16 that exceed the RTX PRO 6000 limits.

LLM Inference
MI300X

Higher memory bandwidth of 5300 GB/s on the MI300X supports larger batch sizes than 1792 GB/s.

Fine-tuning
MI300X

192 GB capacity on the MI300X accommodates full parameter updates without the 96 GB constraint.

Stable Diffusion
RTX PRO 6000

The RTX PRO 6000 delivers FP4 dense performance of 2015.2 TFLOPS at 600W TDP.

Scientific Computing
Either

FP32 ratings of 163.4 TFLOPS and 126 TFLOPS meet requirements depending on scale.

Frequently Asked Questions

How does memory bandwidth compare on these GPUs?▾

The MI300X reaches 5300 GB/s and the RTX PRO 6000 reaches 1792 GB/s.

What are the dense FP16 ratings for each accelerator?▾

Dense FP16 stands at 1307.4 TFLOPS on the MI300X and 503.8 TFLOPS on the RTX PRO 6000.

Which GPU has the higher TDP rating?▾

The MI300X lists a TDP of 750W compared with 600W on the RTX PRO 6000.

Do the GPUs share the same interconnect options?▾

The MI300X includes Infinity Fabric while the RTX PRO 6000 uses PCIe 5.0.

Which is cheaper to rent, the MI300X or the RTX PRO 6000?▾

Cloud rental prices for both the MI300X and RTX PRO 6000 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 PRO 6000?▾

The MI300X has 192 GB of HBM3 memory. The RTX PRO 6000 has 96 GB of GDDR7 memory.

Can I find MI300X and RTX PRO 6000 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 PRO 6000?▾

The MI300X uses the CDNA 3 architecture (2023) while the RTX PRO 6000 uses Blackwell (2025). The MI300X delivers 2.6x the dense FP16 throughput (1,307.4 vs 503.8 TFLOPS, both without sparsity) and 3.0x the memory bandwidth of the RTX PRO 6000.

Rent these GPUs

Each GPU page lists every current on-demand offer by provider, per GPU-hour, updated every minute.

Related comparisons

How this page is made

  • Specifications come from the NVIDIA, AMD and Intel datasheets for the MI300X and the RTX PRO 6000. 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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