GPU comparison

A16 vs Quadro P6000

Specifications and current cloud pricing, side by side.

AmperevsPascalUpdated 33 days ago

The Quadro P6000 serves as the stronger choice for the most common use case of scientific computing due to its 12.6 TFLOPS FP32 performance and 432 GB/s memory bandwidth compared to the A16 values of 4.5 TFLOPS and 200 GB/s.

A16 listed from $0.06/GPU/hrQuadro P6000 listed from $1.10/GPU/hr

Right now, from live stock

  • Cheapest right now: Quadro P6000 at $1.10/hr on Paperspace

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  • Most providers in stock: Quadro P6000 (1)

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Specifications Compared

SpecA16Quadro P6000
TDP250W250W
VRAM16 GB24 GB
CUDA Cores1,2803,840
Memory TypeGDDR6GDDR5X
ArchitectureAmperePascal
FP16 (dense)17.9 TFLOPSNot published
Form FactorsPCIePCIe
INT8 (dense)35.9 TOPSNot published
InterconnectPCIe 4.0PCIe 3.0
Tensor Cores40Not published
FP32 Performance4.5 TFLOPS12.6 TFLOPS
Memory Bandwidth200 GB/s432 GB/s
FP16 (with sparsity)35.9 TFLOPSNot published
INT8 (with sparsity)71.8 TOPSNot published

Performance Analysis

The FP32 rating of 4.5 TFLOPS on the A16 versus 12.6 TFLOPS on the Quadro P6000 indicates that the Quadro P6000 processes single precision computations at nearly three times the rate. Memory bandwidth at 200 GB/s for the A16 versus 432 GB/s for the Quadro P6000 allows the Quadro P6000 to handle larger data transfers per second which supports bigger batch sizes in memory intensive tasks. The A16 provides FP16 dense performance at 17.9 TFLOPS which exceeds its FP32 dense performance of 4.5 TFLOPS by a factor of four. This delta enables faster half precision operations for inference workloads on the A16 while the Quadro P6000 lacks published FP16 figures. Sparsity on the A16 doubles the FP16 rate to 35.9 TFLOPS and the INT8 rate to 71.8 TOPS allowing accelerated sparse computations where applicable.

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.

A16

A16 is not offered on-demand by any provider we track right now. See the A16 rental page for last-seen listed prices and a price alert.

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 A16

The A16 suits scenarios that require modern interconnect and lower precision acceleration. Its PCIe 4.0 support and FP16 dense rating of 17.9 TFLOPS make it preferable for inference tasks that utilize half precision formats.

When to Choose the Quadro P6000

The Quadro P6000 fits applications that demand greater memory capacity and bandwidth. Its 24 GB GDDR5X memory and 432 GB/s bandwidth exceed the A16 specifications of 16 GB and 200 GB/s which benefits workloads with large datasets.

Use Cases

LLM Training
Quadro P6000

The Quadro P6000 provides 24 GB memory and 12.6 TFLOPS FP32 which support larger models than the A16 with 16 GB and 4.5 TFLOPS FP32.

LLM Inference
A16

The A16 delivers FP16 dense performance at 17.9 TFLOPS which accelerates inference compared to the Quadro P6000 without published FP16 data.

Fine-tuning
Either

Both GPUs share a 250W TDP and PCIe form factor allowing fine-tuning tasks to run on either the A16 with its INT8 dense rating of 35.9 TOPS or the Quadro P6000 with 12.6 TFLOPS FP32.

Stable Diffusion
Quadro P6000

The Quadro P6000 offers 432 GB/s memory bandwidth and 24 GB capacity which handle diffusion model requirements better than the A16 at 200 GB/s and 16 GB.

Scientific Computing
Quadro P6000

The Quadro P6000 achieves 12.6 TFLOPS in FP32 exceeding the A16 at 4.5 TFLOPS for scientific workloads.

Frequently Asked Questions

How does FP32 performance compare between the A16 and Quadro P6000?▾

The A16 achieves 4.5 TFLOPS in FP32. The Quadro P6000 achieves 12.6 TFLOPS in FP32. This difference means the Quadro P6000 handles single precision tasks at a higher rate.

What memory specifications distinguish the A16 from the Quadro P6000?▾

The A16 contains 16 GB GDDR6 memory with 200 GB/s bandwidth. The Quadro P6000 contains 24 GB GDDR5X memory with 432 GB/s bandwidth. These figures determine capacity for large datasets.

Does the A16 support sparsity in its tensor operations?▾

The A16 lists FP16 performance with sparsity at 35.9 TFLOPS. It also lists INT8 performance with sparsity at 71.8 TOPS. The Quadro P6000 provides no sparsity figures.

Which GPU offers newer interconnect technology?▾

The A16 supports PCIe 4.0 interconnect. The Quadro P6000 supports PCIe 3.0 interconnect. Both maintain the same 250W TDP rating.

How does the A16 FP16 dense figure relate to its FP32 figure?▾

The A16 FP16 dense performance reaches 17.9 TFLOPS. Its FP32 performance reaches 4.5 TFLOPS. The FP16 dense value exceeds the FP32 value by a factor of four.

Which is cheaper to rent, the A16 or the Quadro P6000?▾

Cloud rental prices for both the A16 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 A16 have compared to the Quadro P6000?▾

The A16 has 16 GB of GDDR6 memory. The Quadro P6000 has 24 GB of GDDR5X memory.

Can I find A16 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 A16 and the Quadro P6000?▾

The A16 uses the Ampere architecture (2021) while the Quadro P6000 uses Pascal (2016). The A16 has 16 GB of GDDR6 at 200 GB/s; the Quadro P6000 has 24 GB of GDDR5X at 432 GB/s, so the Quadro P6000 has 2.2x the memory bandwidth of the A16.

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How this page is made

  • Specifications come from the NVIDIA, AMD and Intel datasheets for the A16 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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