GPU comparison

Quadro RTX 5000 vs RTX 5090

Specifications and current cloud pricing, side by side.

TuringvsBlackwellUpdated 34 days ago

The RTX 5090 wins for the most common use case of LLM inference because its 209.5 TFLOPS dense FP16 rating and 32 GB memory exceed the Quadro RTX 5000 specifications by substantial margins in throughput and capacity.

Quadro RTX 5000 from $0.82/GPU/hrRTX 5090 from $0.89/GPU/hr

Right now, from live stock

  • Cheapest right now: Quadro RTX 5000 at $0.82/hr on Paperspace

    Deploy
  • Most providers in stock: RTX 5090 (3)

    See all offers
  • Best $ per TFLOPS FP16 dense right now: RTX 5090 ($0.0042 per TFLOPS-hour at 209.5 TFLOPS)

    Deploy

Specifications Compared

SpecQuadro RTX 5000RTX 5090
TDP230W575W
VRAM16 GB32 GB
CUDA Cores3,07221,760
FP4 (dense)Not published1,676 TFLOPS
FP8 (dense)Not published419 TFLOPS
Memory TypeGDDR6GDDR7
ArchitectureTuringBlackwell
FP16 (dense)89.2 TFLOPS209.5 TFLOPS
Form FactorsPCIePCIe
INT8 (dense)178.4 TOPS838 TOPS
InterconnectNVLink, PCIe 3.0PCIe 5.0
Tensor Cores384680
FP32 Performance11.2 TFLOPS104.8 TFLOPS
FP64 PerformanceNot published1.6 TFLOPS
Memory Bandwidth448 GB/s1,792 GB/s
FP4 (with sparsity)Not published3,352 TFLOPS
FP8 (with sparsity)Not published838 TFLOPS
FP16 (with sparsity)Not published419 TFLOPS
INT8 (with sparsity)Not published1,676 TOPS

Performance Analysis

The same dense FP16 comparison shows the RTX 5090 completing forward and backward passes faster when batch sizes remain constant. Memory bandwidth of 1792 GB/s on the RTX 5090 versus 448 GB/s on the Quadro RTX 5000 permits larger batch sizes during training without swapping data to host memory. Dense INT8 throughput stands at 178.4 TOPS on the Quadro RTX 5000 versus 838 TOPS on the RTX 5090 indicating faster quantized inference on the newer card when sparsity remains unused.

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 5090

ProviderRegionGPUsPer GPU / hrInstance / hrDeploy
Vast.aiCzechia, CZ1$0.89—Deploy
RunPodglobal1$1.19—Deploy
LeaderGPUThe Netherlands1$2.29—Deploy

3 providers in stock, 8 offers (cheapest per provider shown). All RTX 5090 offers, price history and alerts

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When to Choose the Quadro RTX 5000

The Quadro RTX 5000 suits environments limited to 230W power envelopes where NVLink connectivity is required for multi GPU scaling. Its 16 GB GDDR6 configuration and 448 GB/s bandwidth remain adequate for smaller scientific computing workloads that fit within those memory limits. PCIe 3.0 compatibility also favors legacy server deployments that lack PCIe 5.0 support.

When to Choose the RTX 5090

The RTX 5090 fits workloads that demand 32 GB GDDR7 capacity and 1792 GB/s bandwidth to accommodate large models during fine tuning or inference. Its 104.8 TFLOPS FP32 rating and 209.5 TFLOPS dense FP16 rating accelerate training iterations compared with older cards. PCIe 5.0 interconnect further benefits systems that transfer data at higher rates between host and device.

Use Cases

LLM Training
RTX 5090

The RTX 5090 delivers 209.5 TFLOPS dense FP16 and 32 GB memory against 89.2 TFLOPS and 16 GB on the Quadro RTX 5000 allowing larger models and batches.

LLM Inference
RTX 5090

Dense FP16 at 209.5 TFLOPS and 838 TOPS dense INT8 on the RTX 5090 exceed the Quadro RTX 5000 figures enabling faster token generation.

Fine-tuning
RTX 5090

32 GB GDDR7 and 1792 GB/s bandwidth on the RTX 5090 support larger context windows than the 16 GB and 448 GB/s on the Quadro RTX 5000.

Stable Diffusion
RTX 5090

Higher dense FP16 throughput of 209.5 TFLOPS and doubled memory capacity favor the RTX 5090 for image generation workloads.

Scientific Computing
Either

The Quadro RTX 5000 at 11.2 TFLOPS FP32 and 230W TDP suits power constrained nodes while the RTX 5090 at 104.8 TFLOPS FP32 suits throughput focused nodes.

Frequently Asked Questions

What are the FP32 ratings for these GPUs?▾

FP32 performance equals 11.2 TFLOPS on the Quadro RTX 5000 and 104.8 TFLOPS on the RTX 5090. The ninefold increase reflects generational advances in the Blackwell architecture.

How does memory bandwidth compare?▾

Memory bandwidth measures 448 GB/s on the Quadro RTX 5000 and 1792 GB/s on the RTX 5090. The fourfold increase on the RTX 5090 supports larger batch sizes without memory stalls.

What TDP values are listed for each card?▾

TDP is 230W for the Quadro RTX 5000 and 575W for the RTX 5090. Power delivery requirements therefore differ markedly between the two GPUs.

Which is cheaper to rent, the Quadro RTX 5000 or the RTX 5090?▾

Cloud rental prices for both the Quadro RTX 5000 and RTX 5090 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 5090?▾

The Quadro RTX 5000 has 16 GB of GDDR6 memory. The RTX 5090 has 32 GB of GDDR7 memory.

Can I find Quadro RTX 5000 and RTX 5090 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 5090?▾

The Quadro RTX 5000 uses the Turing architecture (2018) while the RTX 5090 uses Blackwell (2025). The RTX 5090 delivers 2.3x the dense FP16 throughput (209.5 vs 89.2 TFLOPS, both without sparsity) and 4.0x the memory bandwidth of the Quadro RTX 5000.

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 Quadro RTX 5000 and the RTX 5090. 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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