GPU comparison

P100 vs RTX A5000

Specifications and current cloud pricing, side by side.

PascalvsAmpereUpdated 31 days ago

The RTX A5000 serves as the stronger choice for the most common use case of LLM Inference because its 27.8 TFLOPS FP32 and 222.2 TFLOPS FP16 with sparsity exceed the corresponding 9.3 TFLOPS FP32 and 18.7 TFLOPS FP16 dense values of the P100 while memory capacity reaches 24 GB versus 16 GB.

P100 from $0.09/GPU/hrRTX A5000 from $0.24/GPU/hr

Right now, from live stock

  • Cheapest right now: P100 at $0.09/hr on Vast.ai

    Deploy
  • Most providers in stock: RTX A5000 (3)

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Specifications Compared

SpecP100RTX A5000
TDP250W230W
VRAM16 GB24 GB
CUDA Cores3,5848,192
Memory TypeHBM2GDDR6
ArchitecturePascalAmpere
FP16 (dense)18.7 TFLOPSNot published
Form FactorsSXM2, PCIePCIe
InterconnectNVLink, PCIe 3.0NVLink, PCIe 4.0
Tensor CoresNot published256
FP32 Performance9.3 TFLOPS27.8 TFLOPS
FP64 Performance4.7 TFLOPSNot published
Memory Bandwidth732 GB/s768 GB/s
FP16 (with sparsity)Not published222.2 TFLOPS

Performance Analysis

FP16 dense performance measures 18.7 TFLOPS on the P100 whereas FP16 with sparsity performance measures 222.2 TFLOPS on the RTX A5000. The FP32 value of 9.3 TFLOPS on the P100 and 27.8 TFLOPS on the RTX A5000 translate to differences in compute capacity that affect training throughput and inference speed for models limited by these exact figures. Memory bandwidth at 732 GB/s for the P100 and 768 GB/s for the RTX A5000 influences achievable batch sizes during data intensive operations as higher bandwidth supports greater data movement per second without introducing unrelated metrics.

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.

P100

ProviderRegionGPUsPer GPU / hrInstance / hrDeploy
Vast.aiTexas, US1$0.09—Deploy

1 provider in stock, 3 offers (cheapest per provider shown). All P100 offers, price history and alerts

RTX A5000

ProviderRegionGPUsPer GPU / hrInstance / hrDeploy
Vast.aiIreland, IE4$0.24$0.96Deploy
RunPodglobal1$0.27—Deploy
Paperspaceams12$1.38$2.76Deploy

3 providers in stock, 8 offers (cheapest per provider shown). All RTX A5000 offers, price history and alerts

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When to Choose the P100

The P100 suits scenarios that utilize its 16 GB HBM2 memory and NVLink interconnect options in SXM2 form factor. Workloads that align with 18.7 TFLOPS FP16 dense and 9.3 TFLOPS FP32 benefit from this configuration when power draw at 250W remains acceptable.

When to Choose the RTX A5000

The RTX A5000 fits cases that require 24 GB GDDR6 memory and PCIe 4.0 interconnect in its form factor. Applications that match 222.2 TFLOPS FP16 with sparsity and 27.8 TFLOPS FP32 gain from the 230W TDP rating in these contexts.

Use Cases

LLM Training
RTX A5000

The RTX A5000 delivers 27.8 TFLOPS FP32 and 222.2 TFLOPS FP16 with sparsity that exceed the P100 figures of 9.3 TFLOPS FP32 and 18.7 TFLOPS FP16 dense.

LLM Inference
RTX A5000

Higher FP16 with sparsity at 222.2 TFLOPS and 24 GB memory on the RTX A5000 support larger inference batches than the P100 specifications allow.

Fine-tuning
RTX A5000

The RTX A5000 768 GB/s bandwidth and 27.8 TFLOPS FP32 enable efficient parameter updates compared to the P100 732 GB/s and 9.3 TFLOPS FP32.

Stable Diffusion
RTX A5000

Memory capacity of 24 GB on the RTX A5000 accommodates diffusion model requirements beyond the 16 GB limit of the P100.

Scientific Computing
P100

The P100 NVLink and SXM2 options align with 18.7 TFLOPS FP16 dense workloads that match established scientific pipelines.

Frequently Asked Questions

What memory types distinguish the P100 from the RTX A5000?▾

The P100 uses 16 GB HBM2 memory while the RTX A5000 uses 24 GB GDDR6 memory. Bandwidth reaches 732 GB/s on the P100 and 768 GB/s on the RTX A5000.

How do FP32 values compare between these GPUs?▾

FP32 performance stands at 9.3 TFLOPS for the P100 and 27.8 TFLOPS for the RTX A5000. These figures determine general purpose compute capacity in each case.

Which GPU offers higher FP16 throughput?▾

The RTX A5000 provides 222.2 TFLOPS FP16 with sparsity while the P100 provides 18.7 TFLOPS FP16 dense. Direct comparison requires attention to the sparsity label on the higher figure.

What power ratings apply to the P100 and RTX A5000?▾

TDP equals 250W for the P100 and 230W for the RTX A5000. Form factor choices further differentiate power delivery options between the models.

Do both GPUs support NVLink?▾

Both the P100 and the RTX A5000 list NVLink as an interconnect. The P100 adds PCIe 3.0 while the RTX A5000 adds PCIe 4.0.

Which is cheaper to rent, the P100 or the RTX A5000?▾

Cloud rental prices for both the P100 and RTX A5000 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 P100 have compared to the RTX A5000?▾

The P100 has 16 GB of HBM2 memory. The RTX A5000 has 24 GB of GDDR6 memory.

Can I find P100 and RTX A5000 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 P100 and the RTX A5000?▾

The P100 uses the Pascal architecture (2016) while the RTX A5000 uses Ampere (2021). The P100 has 16 GB of HBM2 at 732 GB/s; the RTX A5000 has 24 GB of GDDR6 at 768 GB/s, so the RTX A5000 has 1.0x the memory bandwidth of the P100.

Rent these GPUs

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How this page is made

  • Specifications come from the NVIDIA, AMD and Intel datasheets for the P100 and the RTX A5000. 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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