GPU comparison

Quadro RTX 5000 vs RTX 6000 Ada

Specifications and current cloud pricing, side by side.

TuringvsAda LovelaceUpdated 33 days ago

The RTX 6000 Ada wins for the most common use case of LLM inference because its 48 GB memory and 364 TFLOPS FP16 dense rating exceed the 16 GB and 89.2 TFLOPS of the Quadro RTX 5000 by substantial margins.

Quadro RTX 5000 from $0.82/GPU/hrRTX 6000 Ada from $0.78/GPU/hr

Right now, from live stock

  • Cheapest right now: RTX 6000 Ada at $0.78/hr on QuantaCloud

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  • Most providers in stock: RTX 6000 Ada (5)

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  • Best $ per TFLOPS FP16 dense right now: RTX 6000 Ada ($0.0021 per TFLOPS-hour at 364 TFLOPS)

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Specifications Compared

SpecQuadro RTX 5000RTX 6000 Ada
TDP230W300W
VRAM16 GB48 GB
CUDA Cores3,07218,176
FP8 (dense)Not published728.5 TFLOPS
Memory TypeGDDR6GDDR6
ArchitectureTuringAda Lovelace
FP16 (dense)89.2 TFLOPS364 TFLOPS
Form FactorsPCIePCIe
INT8 (dense)178.4 TOPS728.5 TOPS
InterconnectNVLink, PCIe 3.0PCIe 4.0
Tensor Cores384568
FP32 Performance11.2 TFLOPS91.1 TFLOPS
Memory Bandwidth448 GB/s960 GB/s
FP8 (with sparsity)Not published1,457 TFLOPS
FP16 (with sparsity)Not published728 TFLOPS
INT8 (with sparsity)Not published1,457 TOPS

Performance Analysis

The FP16 dense performance reaches 364 TFLOPS on the RTX 6000 Ada compared to 89.2 TFLOPS on the Quadro RTX 5000 which produces a ratio of roughly four times higher throughput for dense operations. This delta supports faster iteration during training and inference when models stay within the 48 GB memory limit rather than the 16 GB limit. Memory bandwidth of 960 GB/s versus 448 GB/s permits larger batch sizes before memory becomes the constraint. FP32 throughput of 91.1 TFLOPS versus 11.2 TFLOPS further widens the gap for precision sensitive tasks that rely on dense computation.

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.

Quadro RTX 5000

ProviderRegionGPUsPer GPU / hrInstance / hrDeploy
Paperspaceny21$0.82—Deploy

1 provider in stock, 2 offers (cheapest per provider shown). All Quadro RTX 5000 offers, price history and alerts

RTX 6000 Ada

ProviderRegionGPUsPer GPU / hrInstance / hrDeploy
QuantaCloudus-midwest-18$0.78$6.21Deploy
Massed Computeus-central-32$0.79$1.58Deploy
LeaderGPUThe Netherlands8$0.91$7.29Deploy
RunPodglobal1$0.99—Deploy
DigitalOceanToronto 11$1.57—Deploy

5 providers in stock, 18 offers (cheapest per provider shown). All RTX 6000 Ada offers, price history and alerts

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When to Choose the Quadro RTX 5000

The Quadro RTX 5000 suits environments where TDP must remain at 230W and workloads operate effectively with 16 GB of memory. Its INT8 dense rating of 178.4 TOPS provides adequate capacity for inference pipelines that do not require the higher FP16 dense rating of 364 TFLOPS.

When to Choose the RTX 6000 Ada

The RTX 6000 Ada fits scenarios that demand 48 GB of memory and FP16 dense performance of 364 TFLOPS to accommodate larger models or higher throughput. Its memory bandwidth of 960 GB/s supports increased batch sizes compared to the 448 GB/s available on the Quadro RTX 5000.

Use Cases

LLM Training
RTX 6000 Ada

LLM Inference
RTX 6000 Ada

The RTX 6000 Ada delivers 364 TFLOPS FP16 dense and 960 GB/s bandwidth versus 89.2 TFLOPS FP16 dense and 448 GB/s on the Quadro RTX 5000.

Fine-tuning
RTX 6000 Ada

The RTX 6000 Ada provides 48 GB memory which accommodates larger fine tuning batches than the 16 GB on the Quadro RTX 5000.

Stable Diffusion
RTX 6000 Ada

The RTX 6000 Ada offers 48 GB memory and 364 TFLOPS FP16 dense compared to 16 GB and 89.2 TFLOPS FP16 dense on the Quadro RTX 5000.

Scientific Computing
RTX 6000 Ada

The RTX 6000 Ada achieves 91.1 TFLOPS FP32 while the Quadro RTX 5000 reaches 11.2 TFLOPS FP32.

Frequently Asked Questions

What FP32 performance do the Quadro RTX 5000 and RTX 6000 Ada provide?▾

The Quadro RTX 5000 provides 11.2 TFLOPS FP32. The RTX 6000 Ada provides 91.1 TFLOPS FP32.

What are the FP16 dense ratings for both GPUs?▾

The Quadro RTX 5000 lists 89.2 TFLOPS FP16 dense. The RTX 6000 Ada lists 364 TFLOPS FP16 dense.

Which GPU has higher TDP?▾

The RTX 6000 Ada has a TDP of 300W. The Quadro RTX 5000 has a TDP of 230W.

How do the INT8 dense ratings compare?▾

The Quadro RTX 5000 lists 178.4 TOPS INT8 dense. The RTX 6000 Ada lists 728.5 TOPS INT8 dense.

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

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

The Quadro RTX 5000 has 16 GB of GDDR6 memory. The RTX 6000 Ada has 48 GB of GDDR6 memory.

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

The Quadro RTX 5000 uses the Turing architecture (2018) while the RTX 6000 Ada uses Ada Lovelace (2022). The RTX 6000 Ada delivers 4.1x the dense FP16 throughput (364 vs 89.2 TFLOPS, both without sparsity) and 2.1x the memory bandwidth of the Quadro RTX 5000.

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How this page is made

  • Specifications come from the NVIDIA, AMD and Intel datasheets for the Quadro RTX 5000 and the RTX 6000 Ada. 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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