GPU comparison

A100 vs Quadro P6000

Specifications and current cloud pricing, side by side.

AmperevsPascalUpdated 34 days ago

The A100 emerges as the preferred option for the most common use cases in modern computing due to its 19.5 TFLOPS FP32 rating and superior memory specifications over the Quadro P6000 12.6 TFLOPS FP32 and 432 GB/s bandwidth.

A100 from $0.67/GPU/hrQuadro P6000 from $1.10/GPU/hr

Right now, from live stock

Specifications Compared

SpecA100Quadro P6000
TDP400W250W
VRAM40-80 GB24 GB
CUDA Cores6,9123,840
Memory TypeHBM2eGDDR5X
ArchitectureAmperePascal
FP16 (dense)312 TFLOPSNot published
Form FactorsSXM4, PCIePCIe
INT8 (dense)624 TOPSNot published
InterconnectNVLink, PCIe 4.0, InfiniBandPCIe 3.0
Tensor Cores432Not published
FP32 Performance19.5 TFLOPS12.6 TFLOPS
FP64 Performance9.7 TFLOPSNot published
Memory Bandwidth2,039 GB/s432 GB/s
FP16 (with sparsity)624 TFLOPSNot published
INT8 (with sparsity)1,248 TOPSNot published

Performance Analysis

The FP32 performance difference shows the A100 at 19.5 TFLOPS exceeding the Quadro P6000 at 12.6 TFLOPS. This gap affects applications that rely on single precision calculations for model training and simulations. The A100 also provides dense FP16 performance at 312 TFLOPS which enables accelerated operations in mixed precision settings compared to the FP32 baseline of the older GPU. Memory bandwidth of 2039 GB/s on the A100 allows for larger batch sizes during processing than the 432 GB/s available on the Quadro P6000. Higher bandwidth reduces data movement bottlenecks in memory intensive tasks. The A100 TDP of 400W supports these capabilities while the Quadro P6000 operates at 250W.

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.

A100

ProviderRegionGPUsPer GPU / hrInstance / hrDeploy
Vast.aiSlovenia, SI1$0.67—Deploy
LeaderGPUThe Netherlands8$0.68$5.42Deploy
ThunderComputeUSA2$1.09$2.18Deploy
HyperstackCANADA-12$1.35$2.70Deploy
Massed Computeus-central-31$1.35—Deploy

10 providers in stock, 36 offers (cheapest per provider shown). All A100 offers, price history and alerts

Quadro P6000

ProviderRegionGPUsPer GPU / hrInstance / hrDeploy
Paperspaceams11$1.10—Deploy

1 provider in stock, 6 offers (cheapest per provider shown). All Quadro P6000 offers, price history and alerts

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When to Choose the A100

The A100 serves as the better choice for workloads requiring dense FP16 performance of 312 TFLOPS or INT8 dense performance of 624 TOPS. Scenarios involving large scale data processing benefit from the 2039 GB/s memory bandwidth and up to 80 GB VRAM capacity. The support for NVLink interconnect further aids multi GPU configurations in advanced computing setups.

When to Choose the Quadro P6000

The Quadro P6000 fits scenarios with lower power budgets at 250W TDP and simpler PCIe 3.0 connectivity needs. Tasks that operate within 24 GB VRAM and rely on 12.6 TFLOPS FP32 can utilize this GPU effectively without the higher power draw of newer models.

Use Cases

LLM Training
A100

The A100 provides 19.5 TFLOPS FP32 and 2039 GB/s bandwidth to handle large models efficiently.

LLM Inference
A100

Dense FP16 at 312 TFLOPS on the A100 accelerates inference compared to the Quadro P6000 FP32 limit of 12.6 TFLOPS.

Fine-tuning
A100

Higher VRAM options up to 80 GB and 624 TOPS INT8 dense on the A100 support fine tuning workloads.

Stable Diffusion
A100

The A100 memory bandwidth of 2039 GB/s enables larger batch processing than the 432 GB/s on the Quadro P6000.

Scientific Computing
A100

FP32 performance of 19.5 TFLOPS and NVLink support on the A100 suit complex simulations.

Frequently Asked Questions

What FP32 performance does the A100 deliver?▾

The A100 delivers 19.5 TFLOPS in FP32. This figure exceeds the 12.6 TFLOPS FP32 rating of the Quadro P6000.

How does memory bandwidth compare between these GPUs?▾

The A100 provides 2039 GB/s memory bandwidth. The Quadro P6000 provides 432 GB/s memory bandwidth.

Does the A100 support sparsity in tensor operations?▾

The A100 supports FP16 with sparsity at 624 TFLOPS and INT8 with sparsity at 1248 TOPS. The Quadro P6000 has no published figures for these modes.

What interconnect options exist on each GPU?▾

The A100 supports NVLink, PCIe 4.0 and InfiniBand. The Quadro P6000 supports only PCIe 3.0.

What TDP ratings apply to the A100 and Quadro P6000?▾

The A100 has a 400W TDP. The Quadro P6000 has a 250W TDP.

Which is cheaper to rent, the A100 or the Quadro P6000?▾

Cloud rental prices for both the A100 and Quadro P6000 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 A100 have compared to the Quadro P6000?▾

The A100 has 40 to 80 GB of HBM2e memory. The Quadro P6000 has 24 GB of GDDR5X memory.

Can I find A100 and Quadro P6000 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 A100 and the Quadro P6000?▾

The A100 uses the Ampere architecture (2020) while the Quadro P6000 uses Pascal (2016). The A100 has 40-80 GB of HBM2e at 2,039 GB/s; the Quadro P6000 has 24 GB of GDDR5X at 432 GB/s, so the A100 has 4.7x the memory bandwidth of the Quadro P6000.

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 A100 and the Quadro P6000. 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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