GPU comparison

RTX 2080 vs V100

Specifications and current cloud pricing, side by side.

TuringvsVoltaUpdated 33 days ago

The V100 wins for the most common training and inference use cases. Its 125 TFLOPS dense FP16 and 900 GB/s bandwidth exceed the RTX 2080 equivalents of 40.3 TFLOPS dense FP16 and 448 GB/s so larger models run with fewer constraints.

RTX 2080 listed from $0.12/GPU/hrV100 listed from $0.83/GPU/hr

Right now, from live stock

Specifications Compared

SpecRTX 2080V100
TDP215W300W
VRAM8-11 GB16-32 GB
CUDA Cores2,9445,120
Memory TypeGDDR6HBM2
ArchitectureTuringVolta
FP16 (dense)40.3 TFLOPS125 TFLOPS
Form FactorsPCIeSXM2, PCIe
INT8 (dense)161.1 TOPSNot published
InterconnectNVLink, PCIe 3.0NVLink, PCIe 3.0
Tensor Cores368640
FP32 Performance10 TFLOPS15.7 TFLOPS
FP64 PerformanceNot published7.8 TFLOPS
Memory Bandwidth448 GB/s900 GB/s

Performance Analysis

Dense FP16 performance reaches 40.3 TFLOPS on the RTX 2080 compared with 125 TFLOPS dense FP16 on the V100. This gap means the V100 completes matrix multiplications in training and inference at a higher rate when operating in dense FP16 mode. The RTX 2080 dense FP32 figure of 10 TFLOPS remains below the V100 dense FP32 figure of 15.7 TFLOPS so similar workloads finish faster on the V100. Memory bandwidth of 448 GB/s on the RTX 2080 versus 900 GB/s on the V100 determines the maximum batch sizes that avoid stalls during data movement. The dense INT8 rating of 161.1 TOPS applies only to the RTX 2080 as no corresponding figure exists for the V100.

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.

RTX 2080

RTX 2080 is not offered on-demand by any provider we track right now. See the RTX 2080 rental page for last-seen listed prices and a price alert.

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 RTX 2080

The RTX 2080 fits scenarios that require lower power draw of 215W and dense INT8 throughput of 161.1 TOPS. Workloads that stay within 8-11 GB memory limits benefit from its GDDR6 configuration and 448 GB/s bandwidth. The card suits inference tasks where dense FP16 at 40.3 TFLOPS meets requirements without exceeding thermal or power budgets.

When to Choose the V100

The V100 matches cases that demand dense FP16 at 125 TFLOPS and memory capacity up to 32 GB. Training sessions gain from the 900 GB/s bandwidth and 15.7 TFLOPS dense FP32 rating when larger batches or higher precision throughput matter. The 300W TDP supports sustained operation in server environments that prioritize these metrics.

Use Cases

LLM Training
V100

The V100 supplies 125 TFLOPS dense FP16 against 40.3 TFLOPS dense FP16 on the RTX 2080 so training completes with higher throughput.

LLM Inference
V100

Dense FP16 at 125 TFLOPS and 900 GB/s bandwidth on the V100 support larger batch sizes than the RTX 2080 figures of 40.3 TFLOPS and 448 GB/s.

Fine-tuning
V100

The V100 16-32 GB HBM2 memory and 15.7 TFLOPS dense FP32 allow fine-tuning runs that exceed RTX 2080 limits of 8-11 GB and 10 TFLOPS.

Stable Diffusion
RTX 2080

The RTX 2080 TDP of 215W and dense INT8 at 161.1 TOPS fit consumer inference workloads within 8-11 GB memory.

Scientific Computing
V100

The V100 900 GB/s bandwidth and 125 TFLOPS dense FP16 handle large scientific datasets more effectively than the RTX 2080 448 GB/s and 40.3 TFLOPS.

Frequently Asked Questions

How does dense FP16 performance differ between the two GPUs?▾

The RTX 2080 reaches 40.3 TFLOPS dense FP16 while the V100 reaches 125 TFLOPS dense FP16. This difference affects matrix operation speed in training and inference.

What memory bandwidth values appear in the specifications?▾

The RTX 2080 lists 448 GB/s bandwidth and the V100 lists 900 GB/s bandwidth. These values influence data transfer rates during compute tasks.

Which GPU has higher FP32 throughput?▾

The V100 provides 15.7 TFLOPS dense FP32 compared with 10 TFLOPS on the RTX 2080. The higher rating supports faster execution of single precision workloads.

What TDP ratings are listed for each card?▾

The RTX 2080 carries a TDP of 215W and the V100 carries a TDP of 300W. These figures determine power and cooling requirements.

Is an INT8 rating published for the V100?▾

No INT8 figure appears for the V100 while the RTX 2080 lists 161.1 TOPS dense INT8. This specification applies only to the RTX 2080 in the provided data.

Which is cheaper to rent, the RTX 2080 or the V100?▾

Cloud rental prices for both the RTX 2080 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 RTX 2080 have compared to the V100?▾

The RTX 2080 has 8 to 11 GB of GDDR6 memory. The V100 has 16 to 32 GB of HBM2 memory.

Can I find RTX 2080 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 RTX 2080 and the V100?▾

The RTX 2080 uses the Turing architecture (2018) while the V100 uses Volta (2017). The V100 delivers 3.1x the dense FP16 throughput (125 vs 40.3 TFLOPS, both without sparsity) and 2.0x the memory bandwidth of the RTX 2080.

Rent these GPUs

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Related comparisons

How this page is made

  • Specifications come from the NVIDIA, AMD and Intel datasheets for the RTX 2080 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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