GPU comparison

RTX 5060 vs RTX PRO 6000

Specifications and current cloud pricing, side by side.

BlackwellvsBlackwellUpdated 33 days ago

The RTX PRO 6000 wins for the most common use case of LLM inference because its 96 GB memory capacity and 126 TFLOPS FP32 rating accommodate larger models than the 8 to 16 GB and 19.2 TFLOPS available on the RTX 5060.

RTX 5060 listed from $0.16/GPU/hrRTX PRO 6000 listed from $0.69/GPU/hr

Right now, from live stock

  • Cheapest right now: RTX PRO 6000 at $0.69/hr on RunPod

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

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Specifications Compared

SpecRTX 5060RTX PRO 6000
TDP145W600W
VRAM8-16 GB96 GB
CUDA Cores3,84024,064
FP4 (dense)Not published2,015.2 TFLOPS
FP8 (dense)Not published1,007.6 TFLOPS
Memory TypeGDDR7GDDR7
ArchitectureBlackwellBlackwell
FP16 (dense)Not published503.8 TFLOPS
Form FactorsPCIePCIe
INT8 (dense)Not published1,007.6 TOPS
InterconnectPCIe 5.0PCIe 5.0
Tensor Cores120752
FP32 Performance19.2 TFLOPS126 TFLOPS
Memory Bandwidth448 GB/s1,792 GB/s
FP4 (with sparsity)614 TFLOPS4,030.4 TFLOPS
FP8 (with sparsity)Not published2,015.2 TFLOPS
FP16 (with sparsity)Not published1,007.6 TFLOPS
INT8 (with sparsity)Not published2,015.2 TOPS

Performance Analysis

The FP32 rating of 19.2 TFLOPS on the RTX 5060 stands at roughly one sixth the 126 TFLOPS FP32 rating on the RTX PRO 6000 and this ratio directly scales arithmetic throughput for general workloads. Memory bandwidth of 448 GB/s on the RTX 5060 versus 1792 GB/s on the RTX PRO 6000 limits sustainable batch sizes because data movement cannot keep pace with the sixfold increase available on the larger card. FP4 performance with sparsity reaches 614 TFLOPS on the RTX 5060 while the RTX PRO 6000 reaches 4030.4 TFLOPS with sparsity and 2015.2 TFLOPS dense so like for like sparse comparisons favor the RTX PRO 6000 by a factor of approximately six and a half.

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.

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.

RTX PRO 6000

ProviderRegionGPUsPer GPU / hrInstance / hrDeploy
RunPodglobal1$0.69—Deploy
Vast.aiCzechia, CZ1$1.76—Deploy
Massed Computeus-east-11$2.19—Deploy
VERDAFIN-HEL4$2.37$9.48Deploy
QuantaCloudus-midwest-44$2.38$9.53Deploy

6 providers in stock, 22 offers (cheapest per provider shown). All RTX PRO 6000 offers, price history and alerts

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When to Choose the RTX 5060

The RTX 5060 suits compact inference tasks that fit within 8 to 16 GB of GDDR7 memory and operate under a 145W TDP limit. Workloads that require only the published 19.2 TFLOPS FP32 rating and 448 GB/s bandwidth avoid the higher power draw of 600W while still delivering the 614 TFLOPS FP4 figure with sparsity.

When to Choose the RTX PRO 6000

The RTX PRO 6000 suits large model training or inference that demands the full 96 GB of GDDR7 memory and the 1792 GB/s bandwidth to maintain high utilization. FP16 dense performance of 503.8 TFLOPS and FP32 performance of 126 TFLOPS enable scaling beyond the limits imposed by the RTX 5060 specifications.

Use Cases

LLM Training
RTX PRO 6000

The 96 GB VRAM and 1792 GB/s bandwidth support larger batch sizes than the 8 to 16 GB and 448 GB/s on the RTX 5060.

LLM Inference
RTX PRO 6000

FP16 dense performance of 503.8 TFLOPS combined with 96 GB memory handles bigger models than the RTX 5060 can accommodate.

Fine-tuning
RTX PRO 6000

The 126 TFLOPS FP32 rating and 1792 GB/s bandwidth allow efficient parameter updates within the 96 GB capacity.

Stable Diffusion
Either

Scientific Computing
RTX PRO 6000

INT8 dense performance of 1007.6 TOPS and 96 GB memory exceed the published specifications of the RTX 5060.

Frequently Asked Questions

What are the FP32 ratings for both cards?▾

The RTX 5060 lists 19.2 TFLOPS FP32 and the RTX PRO 6000 lists 126 TFLOPS FP32.

Which GPU has higher memory bandwidth?▾

The RTX PRO 6000 reaches 1792 GB/s while the RTX 5060 reaches 448 GB/s.

What TDP values are listed for each model?▾

The RTX 5060 carries a 145W TDP and the RTX PRO 6000 carries a 600W TDP.

Are FP16 figures published for the RTX 5060?▾

No FP16 figure appears for the RTX 5060 while the RTX PRO 6000 lists 503.8 TFLOPS dense and 1007.6 TFLOPS with sparsity.

Which is cheaper to rent, the RTX 5060 or the RTX PRO 6000?▾

Cloud rental prices for both the RTX 5060 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 RTX 5060 have compared to the RTX PRO 6000?▾

The RTX 5060 has 8 to 16 GB of GDDR7 memory. The RTX PRO 6000 has 96 GB of GDDR7 memory.

Can I find RTX 5060 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 RTX 5060 and the RTX PRO 6000?▾

The RTX 5060 uses the Blackwell architecture (2025) while the RTX PRO 6000 uses Blackwell (2025). The RTX 5060 has 8-16 GB of GDDR7 at 448 GB/s; the RTX PRO 6000 has 96 GB of GDDR7 at 1,792 GB/s, so the RTX PRO 6000 has 4.0x the memory bandwidth of the RTX 5060.

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 RTX 5060 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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