GPU comparison

Quadro RTX 4000 vs V100

Specifications and current cloud pricing, side by side.

TuringvsVoltaUpdated 33 days ago

The V100 wins for the most common use case of model training and inference because its 125 TFLOPS dense FP16 and 16-32 GB memory exceed the 57 TFLOPS dense FP16 and 8 GB memory of the Quadro RTX 4000.

Quadro RTX 4000 from $0.56/GPU/hrV100 from $0.83/GPU/hr

Right now, from live stock

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

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  • Most providers in stock: V100 (2)

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  • Best $ per TFLOPS FP16 dense right now: V100 ($0.0066 per TFLOPS-hour at 125 TFLOPS)

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Specifications Compared

SpecQuadro RTX 4000V100
TDP125W300W
VRAM8 GB16-32 GB
CUDA Cores2,3045,120
Memory TypeGDDR6HBM2
ArchitectureTuringVolta
FP16 (dense)57 TFLOPS125 TFLOPS
Form FactorsPCIeSXM2, PCIe
InterconnectPCIe 3.0NVLink, PCIe 3.0
Tensor Cores288640
FP32 Performance7.1 TFLOPS15.7 TFLOPS
FP64 PerformanceNot published7.8 TFLOPS
Memory Bandwidth416 GB/s900 GB/s

Performance Analysis

The dense FP16 performance reaches 57 TFLOPS on the Quadro RTX 4000 and 125 TFLOPS on the V100 while dense FP32 performance reaches 7.1 TFLOPS on the Quadro RTX 4000 and 15.7 TFLOPS on the V100. This dense FP16 to dense FP32 ratio indicates both GPUs accelerate mixed precision operations by similar factors near eight times. The 900 GB/s bandwidth on the V100 compared to 416 GB/s on the Quadro RTX 4000 supports larger batch sizes during training and inference by moving more data per second. The 125W TDP on the Quadro RTX 4000 versus 300W TDP on the V100 limits sustained operation in dense deployments.

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

V100

ProviderRegionGPUsPer GPU / hrInstance / hrDeploy
Oribeauharnois1$0.83—Deploy
Paperspaceca11$2.30—Deploy

2 providers in stock, 72 offers (cheapest per provider shown). All V100 offers, price history and alerts

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When to Choose the Quadro RTX 4000

The Quadro RTX 4000 suits environments where power consumption must stay at 125W and memory needs remain under 8 GB. Workloads that fit within these limits benefit from the 416 GB/s bandwidth without requiring the 300W TDP of the V100.

When to Choose the V100

The V100 suits workloads that require up to 32 GB memory and 900 GB/s bandwidth to handle larger data sets. The 125 TFLOPS dense FP16 and 15.7 TFLOPS dense FP32 enable faster execution when power draw at 300W is acceptable.

Use Cases

LLM Training
V100

The V100 supplies 125 TFLOPS dense FP16 and up to 32 GB memory to support larger training batches than the 57 TFLOPS dense FP16 and 8 GB on the Quadro RTX 4000.

LLM Inference
V100

The V100 delivers 125 TFLOPS dense FP16 and 900 GB/s bandwidth for higher throughput compared to 57 TFLOPS dense FP16 and 416 GB/s on the Quadro RTX 4000.

Fine-tuning
V100

The V100 provides 15.7 TFLOPS dense FP32 and 16-32 GB memory options that exceed the 7.1 TFLOPS dense FP32 and 8 GB on the Quadro RTX 4000 for adjusted model sizes.

Stable Diffusion
Quadro RTX 4000

The Quadro RTX 4000 operates at 125W TDP with 8 GB memory sufficient for many diffusion tasks without the 300W TDP of the V100.

Scientific Computing
V100

The V100 achieves 15.7 TFLOPS dense FP32 and 900 GB/s bandwidth to process larger scientific data sets than the 7.1 TFLOPS dense FP32 and 416 GB/s on the Quadro RTX 4000.

Frequently Asked Questions

What memory configurations distinguish the Quadro RTX 4000 from the V100?▾

The Quadro RTX 4000 provides 8 GB GDDR6 memory while the V100 provides 16-32 GB HBM2 memory. The V100 therefore accommodates models that exceed the 8 GB limit of the Quadro RTX 4000.

Which GPU has higher memory bandwidth for data movement?▾

The V100 provides 900 GB/s memory bandwidth compared to 416 GB/s on the Quadro RTX 4000. Higher bandwidth on the V100 supports increased data throughput during compute operations.

How do the power requirements differ between these GPUs?▾

The Quadro RTX 4000 has a 125W TDP while the V100 has a 300W TDP. Systems using the Quadro RTX 4000 draw less power than those using the V100.

Which is cheaper to rent, the Quadro RTX 4000 or the V100?▾

Cloud rental prices for both the Quadro RTX 4000 and V100 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 V100?▾

The Quadro RTX 4000 has 8 GB of GDDR6 memory. The V100 has 16 to 32 GB of HBM2 memory.

Can I find Quadro RTX 4000 and V100 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 V100?▾

The Quadro RTX 4000 uses the Turing architecture (2018) while the V100 uses Volta (2017). The V100 delivers 2.2x the dense FP16 throughput (125 vs 57 TFLOPS, both without sparsity) and 2.2x the memory bandwidth of the Quadro RTX 4000.

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How this page is made

  • Specifications come from the NVIDIA, AMD and Intel datasheets for the Quadro RTX 4000 and the V100. 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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