GPU comparison

Quadro RTX 5000 vs RTX 2000 Ada

Specifications and current cloud pricing, side by side.

TuringvsAda LovelaceUpdated 34 days ago

The RTX 2000 Ada wins for the most common inference use case because its 12 TFLOPS FP32 rating and 70W TDP deliver comparable dense throughput to the Quadro RTX 5000 at one third the power while adding FP8 with sparsity at 191.9 TFLOPS.

Quadro RTX 5000 from $0.82/GPU/hrRTX 2000 Ada from $0.24/GPU/hr

Right now, from live stock

  • Cheapest right now: RTX 2000 Ada at $0.24/hr on RunPod

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  • Most providers in stock: Quadro RTX 5000 and RTX 2000 Ada (1 each)

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Specifications Compared

SpecQuadro RTX 5000RTX 2000 Ada
TDP230W70W
VRAM16 GB16 GB
CUDA Cores3,0722,816
Memory TypeGDDR6GDDR6
ArchitectureTuringAda Lovelace
FP16 (dense)89.2 TFLOPSNot published
Form FactorsPCIePCIe
INT8 (dense)178.4 TOPSNot published
InterconnectNVLink, PCIe 3.0PCIe 4.0
Tensor Cores38488
FP32 Performance11.2 TFLOPS12 TFLOPS
Memory Bandwidth448 GB/s224 GB/s
FP8 (with sparsity)Not published191.9 TFLOPS

Performance Analysis

The Quadro RTX 5000 delivers dense FP16 performance of 89.2 TFLOPS while the RTX 2000 Ada publishes no FP16 figure, so FP32 remains the only common dense metric at 11.2 TFLOPS versus 12 TFLOPS. Memory bandwidth of 448 GB/s on the Quadro RTX 5000 versus 224 GB/s on the RTX 2000 Ada directly limits sustainable batch sizes in memory bound workloads because twice the bandwidth permits larger simultaneous data movement. The RTX 2000 Ada lists FP8 performance with sparsity at 191.9 TFLOPS whereas the Quadro RTX 5000 lists dense INT8 at 178.4 TOPS, precluding any direct ratio between these mismatched sparsity modes.

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 2000 Ada

ProviderRegionGPUsPer GPU / hrInstance / hrDeploy
RunPodglobal1$0.24—Deploy

1 provider in stock, 1 offer. All RTX 2000 Ada offers, price history and alerts

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When to Choose the Quadro RTX 5000

The Quadro RTX 5000 suits workloads that require dense FP16 at 89.2 TFLOPS or dense INT8 at 178.4 TOPS together with 448 GB/s bandwidth and NVLink connectivity. Such conditions appear in multi GPU scientific computing setups where the 230W TDP budget accommodates the higher throughput figures.

When to Choose the RTX 2000 Ada

The RTX 2000 Ada suits workloads that require FP32 at 12 TFLOPS within a 70W TDP envelope and PCIe 4.0 interconnect. The lower power draw combined with FP8 performance with sparsity at 191.9 TFLOPS favors sustained inference deployments where thermal and electrical constraints dominate.

Use Cases

LLM Training
Quadro RTX 5000

The Quadro RTX 5000 supplies dense FP16 at 89.2 TFLOPS and 448 GB/s bandwidth that support larger batch sizes than the 224 GB/s available on the RTX 2000 Ada.

LLM Inference
RTX 2000 Ada

The RTX 2000 Ada provides FP8 with sparsity at 191.9 TFLOPS inside a 70W TDP that enables denser deployment than the 230W Quadro RTX 5000.

Fine-tuning
Quadro RTX 5000

The Quadro RTX 5000 supplies dense FP16 at 89.2 TFLOPS and NVLink for gradient exchange across multiple cards.

Stable Diffusion
RTX 2000 Ada

The RTX 2000 Ada delivers FP32 at 12 TFLOPS and FP8 with sparsity at 191.9 TFLOPS at only 70W TDP.

Scientific Computing
Quadro RTX 5000

The Quadro RTX 5000 supplies dense FP32 at 11.2 TFLOPS together with NVLink and 448 GB/s bandwidth for multi node scaling.

Frequently Asked Questions

What FP32 performance does the Quadro RTX 5000 deliver?▾

The Quadro RTX 5000 delivers 11.2 TFLOPS FP32. This figure sits below the 12 TFLOPS FP32 of the RTX 2000 Ada.

Does the RTX 2000 Ada publish an FP16 rating?▾

The RTX 2000 Ada does not publish an FP16 rating. The Quadro RTX 5000 lists dense FP16 at 89.2 TFLOPS.

How does memory bandwidth differ between the two GPUs?▾

The Quadro RTX 5000 provides 448 GB/s while the RTX 2000 Ada provides 224 GB/s. This twofold difference affects data movement rates in bandwidth limited kernels.

What interconnect options exist on each card?▾

The Quadro RTX 5000 supports NVLink and PCIe 3.0. The RTX 2000 Ada supports PCIe 4.0 only.

What TDP values are listed for these GPUs?▾

The Quadro RTX 5000 lists 230W TDP. The RTX 2000 Ada lists 70W TDP.

Which GPU lists an INT8 figure?▾

The Quadro RTX 5000 lists dense INT8 at 178.4 TOPS. The RTX 2000 Ada publishes no INT8 figure.

Which is cheaper to rent, the Quadro RTX 5000 or the RTX 2000 Ada?▾

Cloud rental prices for both the Quadro RTX 5000 and RTX 2000 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 2000 Ada?▾

The Quadro RTX 5000 has 16 GB of GDDR6 memory. The RTX 2000 Ada has 16 GB of GDDR6 memory.

Can I find Quadro RTX 5000 and RTX 2000 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 2000 Ada?▾

The Quadro RTX 5000 uses the Turing architecture (2018) while the RTX 2000 Ada uses Ada Lovelace (2024). The Quadro RTX 5000 has 16 GB of GDDR6 at 448 GB/s; the RTX 2000 Ada has 16 GB of GDDR6 at 224 GB/s, so the Quadro RTX 5000 has 2.0x the memory bandwidth of the RTX 2000 Ada.

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Related comparisons

How this page is made

  • Specifications come from the NVIDIA, AMD and Intel datasheets for the Quadro RTX 5000 and the RTX 2000 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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