GPU comparison

Quadro RTX 4000 vs Quadro RTX 5000

Specifications and current cloud pricing, side by side.

TuringvsTuringUpdated 34 days ago

The Quadro RTX 5000 serves as the stronger choice for the most common use cases that involve model training or large batch inference. Its doubled VRAM capacity and higher dense FP16 and dense FP32 ratings deliver measurable gains that outweigh the increased TDP of 230W relative to the Quadro RTX 4000.

Quadro RTX 4000 from $0.56/GPU/hrQuadro RTX 5000 from $0.82/GPU/hr

Right now, from live stock

  • Cheapest right now: Quadro RTX 4000 at $0.56/hr on Paperspace

    Deploy
  • Most providers in stock: Quadro RTX 4000 and Quadro RTX 5000 (1 each)

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  • Best $ per TFLOPS FP16 dense right now: Quadro RTX 5000 ($0.0092 per TFLOPS-hour at 89.2 TFLOPS)

    Deploy

Specifications Compared

SpecQuadro RTX 4000Quadro RTX 5000
TDP125W230W
VRAM8 GB16 GB
CUDA Cores2,3043,072
Memory TypeGDDR6GDDR6
ArchitectureTuringTuring
FP16 (dense)57 TFLOPS89.2 TFLOPS
Form FactorsPCIePCIe
INT8 (dense)Not published178.4 TOPS
InterconnectPCIe 3.0NVLink, PCIe 3.0
Tensor Cores288384
FP32 Performance7.1 TFLOPS11.2 TFLOPS
Memory Bandwidth416 GB/s448 GB/s

Performance Analysis

Dense FP16 throughput measures 57 TFLOPS on the Quadro RTX 4000 and 89.2 TFLOPS on the Quadro RTX 5000. This difference means the Quadro RTX 5000 completes matrix operations in training and inference at a higher rate when dense FP16 precision applies. Dense FP32 figures of 7.1 TFLOPS versus 11.2 TFLOPS produce a similar ratio that favors the Quadro RTX 5000 for single precision workloads. Memory bandwidth of 416 GB/s on the Quadro RTX 4000 versus 448 GB/s on the Quadro RTX 5000 influences achievable batch sizes during data parallel operations. Larger VRAM capacity of 16 GB on the Quadro RTX 5000 permits bigger models or datasets to reside in memory without swapping compared with the 8 GB limit on the Quadro RTX 4000.

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 4000

ProviderRegionGPUsPer GPU / hrInstance / hrDeploy
Paperspaceams11$0.56—Deploy

1 provider in stock, 5 offers (cheapest per provider shown). All Quadro RTX 4000 offers, price history and alerts

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

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When to Choose the Quadro RTX 4000

The Quadro RTX 4000 suits deployments where power constraints limit total system draw to 125W. Its 8 GB VRAM and 416 GB/s bandwidth support moderate scale inference tasks that fit within those limits. Workloads that prioritize lower TDP over peak dense FP16 throughput of 57 TFLOPS benefit from this card in space constrained servers.

When to Choose the Quadro RTX 5000

The Quadro RTX 5000 fits scenarios that demand 16 GB VRAM to hold larger models during fine tuning or scientific computing. Its dense FP16 rating of 89.2 TFLOPS and 11.2 TFLOPS dense FP32 accelerate training iterations when memory capacity is the primary bottleneck. Systems that accommodate 230W TDP gain from the 448 GB/s bandwidth for sustained data movement in inference pipelines.

Use Cases

LLM Training
Quadro RTX 5000

The Quadro RTX 5000 supplies 16 GB VRAM and 89.2 TFLOPS dense FP16 that accommodate larger models and faster iteration than the 8 GB and 57 TFLOPS dense FP16 on the Quadro RTX 4000.

LLM Inference
Quadro RTX 5000

Higher dense FP16 throughput of 89.2 TFLOPS and 448 GB/s bandwidth on the Quadro RTX 5000 support larger batch sizes compared with the Quadro RTX 4000 specifications.

Fine-tuning
Quadro RTX 5000

16 GB VRAM on the Quadro RTX 5000 holds full precision weights during adaptation while the Quadro RTX 4000 is restricted to 8 GB.

Stable Diffusion
Either

Both cards handle image generation workloads yet the Quadro RTX 5000 processes higher resolution batches due to its 11.2 TFLOPS dense FP32 versus 7.1 TFLOPS.

Scientific Computing
Quadro RTX 5000

The Quadro RTX 5000 delivers 11.2 TFLOPS dense FP32 and NVLink interconnect that accelerate simulation codes beyond the capabilities of the Quadro RTX 4000.

Frequently Asked Questions

How do FP32 ratings compare on these Turing GPUs?▾

Dense FP32 performance equals 7.1 TFLOPS on the Quadro RTX 4000 and 11.2 TFLOPS on the Quadro RTX 5000. The higher figure on the Quadro RTX 5000 accelerates single precision scientific workloads.

Which GPU offers higher dense FP16 performance?▾

The Quadro RTX 5000 reaches 89.2 TFLOPS dense FP16 compared with 57 TFLOPS dense FP16 on the Quadro RTX 4000. This difference shortens training times for mixed precision workloads.

What power requirements distinguish the two cards?▾

The Quadro RTX 4000 lists a TDP of 125W while the Quadro RTX 5000 lists a TDP of 230W. System integrators must account for the nearly doubled power draw when selecting the Quadro RTX 5000.

Does the Quadro RTX 5000 include NVLink?▾

The Quadro RTX 5000 supports NVLink interconnect in addition to PCIe 3.0 while the Quadro RTX 4000 supports only PCIe 3.0. Multi GPU scaling therefore requires the Quadro RTX 5000.

Which is cheaper to rent, the Quadro RTX 4000 or the Quadro RTX 5000?▾

Cloud rental prices for both the Quadro RTX 4000 and Quadro RTX 5000 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 4000 have compared to the Quadro RTX 5000?▾

The Quadro RTX 4000 has 8 GB of GDDR6 memory. The Quadro RTX 5000 has 16 GB of GDDR6 memory.

Can I find Quadro RTX 4000 and Quadro RTX 5000 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 4000 and the Quadro RTX 5000?▾

The Quadro RTX 4000 uses the Turing architecture (2018) while the Quadro RTX 5000 uses Turing (2018). The Quadro RTX 5000 delivers 1.6x the dense FP16 throughput (89.2 vs 57 TFLOPS, both without sparsity) and 1.1x the memory bandwidth of the Quadro RTX 4000.

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 4000 and the Quadro RTX 5000. 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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