GPU comparison

Quadro RTX 8000 vs Tesla V100 32GB

Specifications and current cloud pricing, side by side.

TuringvsVoltaUpdated 22 days ago

This variant comparison is part of the QUADRO RTX 8000 vs V100 family comparison.

The Tesla V100 32GB variant wins for the most common use case of accelerated computing due to its dense FP16 rating of 125 TFLOPS compared to the lower figure on the Quadro RTX 8000.

Tesla V100 32GB listed from $0.83/GPU/hr

Right now, from live stock

  • Cheapest right now: Tesla V100 32GB at $0.83/hr on Ori

    Deploy
  • Most providers in stock: Tesla V100 32GB (2)

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Specifications Compared

SpecQuadro RTX 8000Tesla V100 32GB
TDP260W300W
VRAM48 GB32 GB
CUDA Cores4,6085,120
Memory TypeGDDR6HBM2
ArchitectureTuringVolta
FP16 (dense)Not published125 TFLOPS
Form FactorsPCIeSXM2, PCIe
InterconnectNVLinkNVLink, PCIe 3.0
Tensor Cores576640
FP32 Performance16.3 TFLOPS15.7 TFLOPS
FP64 PerformanceNot published7.8 TFLOPS
Memory Bandwidth672 GB/s900 GB/s
FP16 (vendor figure, sparsity not specified)16.3 TFLOPSNot published

Performance Analysis

The FP32 performance stands at 16.3 TFLOPS for the Quadro RTX 8000 and 15.7 TFLOPS for the Tesla V100 32GB. This small difference suggests similar throughput in single precision workloads. The FP16 rating of 16.3 TFLOPS without specified sparsity on the Quadro RTX 8000 contrasts with the dense 125 TFLOPS on the Tesla V100 32GB. Training and inference tasks that utilize dense FP16 operations therefore see substantially higher throughput on the Tesla V100 32GB. Memory bandwidth at 672 GB/s for the Quadro RTX 8000 family and 900 GB/s for the Tesla V100 family affects the size of batches that fit within memory constraints during processing. The 48 GB capacity on the Quadro RTX 8000 variant allows larger models compared to the 32 GB on the Tesla V100 32GB variant despite the bandwidth difference.

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 8000

Quadro RTX 8000 is not offered on-demand by any provider we track right now. See the Quadro RTX 8000 rental page for last-seen listed prices and a price alert.

Tesla V100 32GB

ProviderRegionGPUsPer GPU / hrInstance / hrDeploy
Orilille-12$0.83$1.66Deploy
Paperspaceny21$2.30—Deploy

2 providers in stock, 72 offers (cheapest per provider shown). All Tesla V100 32GB offers, price history and alerts

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When to Choose the Quadro RTX 8000

The Quadro RTX 8000 with its 48 GB GDDR6 suits scenarios that require greater memory capacity than the 32 GB HBM2 available on the Tesla V100 32GB. Applications limited to a 260W TDP benefit from this variant over the 300W TDP of the Tesla V100 family.

When to Choose the Tesla V100 32GB

The Tesla V100 32GB variant delivers dense FP16 performance at 125 TFLOPS which exceeds the 16.3 TFLOPS figure without specified sparsity on the Quadro RTX 8000. Higher memory bandwidth of 900 GB/s supports workloads that stress data movement more than the 672 GB/s on the Quadro RTX 8000 family.

Use Cases

LLM Training
Tesla V100 32GB

The Tesla V100 32GB provides dense FP16 performance at 125 TFLOPS versus the 16.3 TFLOPS without specified sparsity on the Quadro RTX 8000.

LLM Inference
Tesla V100 32GB

Dense FP16 throughput reaches 125 TFLOPS on the Tesla V100 32GB while the Quadro RTX 8000 lists 16.3 TFLOPS without specified sparsity.

Fine-tuning
Quadro RTX 8000

The Quadro RTX 8000 variant supplies 48 GB GDDR6 which exceeds the 32 GB HBM2 on the Tesla V100 32GB variant for larger model adjustments.

Stable Diffusion
Quadro RTX 8000

Memory capacity of 48 GB on the Quadro RTX 8000 variant supports bigger diffusion workloads than the 32 GB available on the Tesla V100 32GB variant.

Scientific Computing
Tesla V100 32GB

The Tesla V100 32GB delivers dense FP16 at 125 TFLOPS and 900 GB/s bandwidth compared to 16.3 TFLOPS without specified sparsity and 672 GB/s on the Quadro RTX 8000.

Frequently Asked Questions

What memory configurations distinguish these variants?▾

The Quadro RTX 8000 variant uses 48 GB GDDR6 while the Tesla V100 32GB variant uses 32 GB HBM2. Both families share their listed memory bandwidth figures across all variants.

How do the FP16 figures compare between these GPUs?▾

The Quadro RTX 8000 lists 16.3 TFLOPS without specified sparsity. The Tesla V100 32GB lists dense FP16 at 125 TFLOPS. FP32 figures remain close at 16.3 TFLOPS and 15.7 TFLOPS respectively.

What TDP values apply to each variant?▾

The Quadro RTX 8000 family lists a TDP of 260W. The Tesla V100 family lists a TDP of 300W. These figures apply across variants within each family.

Which interconnect options exist for each model?▾

The Quadro RTX 8000 variant supports NVLink. The Tesla V100 32GB variant supports NVLink along with PCIe 3.0. Form factors include PCIe for the Quadro and both SXM2 and PCIe for the Tesla V100 32GB.

Which is cheaper to rent, the Quadro RTX 8000 or the Tesla V100 32GB?▾

Cloud rental prices for both the Quadro RTX 8000 and Tesla V100 32GB 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 8000 have compared to the Tesla V100 32GB?▾

The Quadro RTX 8000 has 48 GB of GDDR6 memory. The Tesla V100 32GB has 32 GB of HBM2 memory.

Can I find Quadro RTX 8000 and Tesla V100 32GB 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 8000 and the Tesla V100 32GB?▾

The Quadro RTX 8000 uses the Turing architecture (2018) while the Tesla V100 32GB uses Volta (2017). Both deliver the same dense FP16 throughput (130.5 TFLOPS without sparsity), while the Tesla V100 32GB has 1.3x the memory bandwidth of the Quadro RTX 8000.

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 Quadro RTX 8000 and the Tesla V100 32GB. 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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