GPU comparison

RTX 5000 Ada vs RTX PRO 6000

Specifications and current cloud pricing, side by side.

Ada LovelacevsBlackwellUpdated 33 days ago

The RTX PRO 6000 wins for the most common large model inference and training use cases because its 96 GB capacity and 1792 GB/s bandwidth exceed the RTX 5000 Ada limits by factors of three while FP8 with sparsity performance reaches 2015.2 TFLOPS against 1044.4 TFLOPS.

RTX 5000 Ada listed from $0.55/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

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

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Specifications Compared

SpecRTX 5000 AdaRTX PRO 6000
TDP250W600W
VRAM32 GB96 GB
CUDA Cores12,80024,064
FP4 (dense)Not published2,015.2 TFLOPS
FP8 (dense)Not published1,007.6 TFLOPS
Memory TypeGDDR6GDDR7
ArchitectureAda LovelaceBlackwell
FP16 (dense)Not published503.8 TFLOPS
Form FactorsPCIePCIe
INT8 (dense)Not published1,007.6 TOPS
InterconnectPCIe 4.0PCIe 5.0
Tensor Cores400752
FP32 Performance65.3 TFLOPS126 TFLOPS
Memory Bandwidth576 GB/s1,792 GB/s
FP4 (with sparsity)Not published4,030.4 TFLOPS
FP8 (with sparsity)1,044.4 TFLOPS2,015.2 TFLOPS
FP16 (with sparsity)Not published1,007.6 TFLOPS
INT8 (with sparsity)Not published2,015.2 TOPS

Performance Analysis

The FP32 performance ratio stands at 126 TFLOPS for the RTX PRO 6000 against 65.3 TFLOPS for the RTX 5000 Ada. This difference scales arithmetic throughput for single precision workloads in scientific computing. Memory bandwidth of 1792 GB/s on the RTX PRO 6000 versus 576 GB/s on the RTX 5000 Ada permits roughly three times larger batch sizes before memory stalls occur during data movement. FP8 with sparsity reaches 2015.2 TFLOPS on the RTX PRO 6000 compared with 1044.4 TFLOPS on the RTX 5000 Ada so sparsity enabled inference kernels complete in less wall clock time on the newer card. FP16 dense performance of 503.8 TFLOPS on the RTX PRO 6000 has no published counterpart on the RTX 5000 Ada therefore training loops that rely on dense FP16 must be assessed through FP32 scaling instead. The 96 GB capacity on the RTX PRO 6000 versus 32 GB on the RTX 5000 Ada further supports larger model states without host offload.

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 5000 Ada

RTX 5000 Ada is not offered on-demand by any provider we track right now. See the RTX 5000 Ada rental page for last-seen listed prices and a price alert.

RTX PRO 6000

ProviderRegionGPUsPer GPU / hrInstance / hrDeploy
RunPodglobal1$0.69—Deploy
Vast.aiCzechia, CZ2$1.47$2.93Deploy
Massed Computeus-central-92$2.19$4.38Deploy
QuantaCloudus-midwest-44$2.38$9.53Deploy
VERDAFIN-HEL8$2.40$19.16Deploy

6 providers in stock, 23 offers (cheapest per provider shown). All RTX PRO 6000 offers, price history and alerts

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When to Choose the RTX 5000 Ada

The RTX 5000 Ada suits deployments where total system power must stay near 250 W and PCIe 4.0 slots are the only available interconnect. Its 32 GB capacity handles inference batches that fit within that limit while the 576 GB/s bandwidth sustains steady throughput for smaller scientific computing grids.

When to Choose the RTX PRO 6000

The RTX PRO 6000 suits workloads that require 96 GB capacity and 1792 GB/s bandwidth to keep large language model layers resident during fine tuning. Its 126 TFLOPS FP32 and 2015.2 TFLOPS FP8 with sparsity accelerate both dense and sparsity enabled kernels beyond the limits of the prior generation.

Use Cases

LLM Training
RTX PRO 6000

The RTX PRO 6000 supplies 96 GB and 1792 GB/s bandwidth that accommodate larger model states than the 32 GB and 576 GB/s on the RTX 5000 Ada.

LLM Inference
RTX PRO 6000

FP8 with sparsity at 2015.2 TFLOPS on the RTX PRO 6000 exceeds the 1044.4 TFLOPS figure on the RTX 5000 Ada while 96 GB capacity supports longer context lengths.

Fine-tuning
RTX PRO 6000

The 126 TFLOPS FP32 rating and 600 W TDP on the RTX PRO 6000 deliver higher throughput than the 65.3 TFLOPS and 250 W TDP on the RTX 5000 Ada for gradient updates.

Stable Diffusion
Either

Both cards run diffusion workloads yet the RTX PRO 6000 96 GB buffer permits higher resolution batches than the 32 GB buffer on the RTX 5000 Ada.

Scientific Computing
RTX PRO 6000

FP32 performance of 126 TFLOPS on the RTX PRO 6000 doubles the 65.3 TFLOPS on the RTX 5000 Ada while memory bandwidth scales by a factor of three.

Frequently Asked Questions

What is the memory difference between RTX 5000 Ada and RTX PRO 6000?▾

The RTX 5000 Ada contains 32 GB GDDR6 while the RTX PRO 6000 contains 96 GB GDDR7. Memory bandwidth stands at 576 GB/s versus 1792 GB/s respectively.

How does FP32 performance compare on these two GPUs?▾

FP32 throughput measures 65.3 TFLOPS on the RTX 5000 Ada and 126 TFLOPS on the RTX PRO 6000. The ratio favors the Blackwell card by nearly two to one.

Which GPU offers higher FP8 performance with sparsity?▾

The RTX PRO 6000 reaches 2015.2 TFLOPS FP8 with sparsity while the RTX 5000 Ada reaches 1044.4 TFLOPS FP8 with sparsity. Direct comparison uses the sparsity labeled figures only.

What are the power requirements for each card?▾

The RTX 5000 Ada carries a 250 W TDP and the RTX PRO 6000 carries a 600 W TDP. System integrators must account for the 2.4 times increase in power delivery.

Do both GPUs use the same interconnect?▾

The RTX 5000 Ada uses PCIe 4.0 while the RTX PRO 6000 uses PCIe 5.0. Bandwidth per lane therefore doubles on the newer card.

Which architecture generation separates the two products?▾

The RTX 5000 Ada belongs to Ada Lovelace released in 2023 and the RTX PRO 6000 belongs to Blackwell released in 2025.

Which is cheaper to rent, the RTX 5000 Ada or the RTX PRO 6000?▾

Cloud rental prices for both the RTX 5000 Ada 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 5000 Ada have compared to the RTX PRO 6000?▾

The RTX 5000 Ada has 32 GB of GDDR6 memory. The RTX PRO 6000 has 96 GB of GDDR7 memory.

Can I find RTX 5000 Ada 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 5000 Ada and the RTX PRO 6000?▾

The RTX 5000 Ada uses the Ada Lovelace architecture (2023) while the RTX PRO 6000 uses Blackwell (2025). The RTX 5000 Ada has 32 GB of GDDR6 at 576 GB/s; the RTX PRO 6000 has 96 GB of GDDR7 at 1,792 GB/s, so the RTX PRO 6000 has 3.1x the memory bandwidth of the RTX 5000 Ada.

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How this page is made

  • Specifications come from the NVIDIA, AMD and Intel datasheets for the RTX 5000 Ada 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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