GPU comparison

GTX 1080 vs P100

Specifications and current cloud pricing, side by side.

PascalvsPascalUpdated 33 days ago

The P100 represents the stronger choice for the most common accelerated computing workloads. Its dense FP16 rating of 18.7 TFLOPS combined with 16 GB HBM2 memory and 732 GB/s bandwidth provide clear advantages over the GTX 1080 specifications in training and inference scenarios.

GTX 1080 from $0.45/GPU/hrP100 from $0.09/GPU/hr

Right now, from live stock

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

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  • Most providers in stock: GTX 1080 and P100 (1 each)

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Specifications Compared

SpecGTX 1080P100
TDP180W250W
VRAM8-11 GB16 GB
CUDA Cores2,5603,584
Memory TypeGDDR5XHBM2
ArchitecturePascalPascal
FP16 (dense)Not published18.7 TFLOPS
Form FactorsPCIeSXM2, PCIe
InterconnectPCIe 3.0NVLink, PCIe 3.0
FP32 Performance8.9 TFLOPS9.3 TFLOPS
FP64 PerformanceNot published4.7 TFLOPS
Memory Bandwidth320 GB/s732 GB/s

Performance Analysis

The P100 provides dense FP16 performance rated at 18.7 TFLOPS while the GTX 1080 carries no published FP16 figure. This specification gap indicates that the P100 executes half precision operations during training and inference where the GTX 1080 cannot rely on vendor published dense FP16 capability. Memory bandwidth of 732 GB/s on the P100 versus 320 GB/s on the GTX 1080 directly influences batch sizes because higher bandwidth accommodates larger data transfers per cycle in memory bound workloads. FP32 figures remain close at 8.9 TFLOPS for the GTX 1080 and 9.3 TFLOPS for the P100 so single precision tasks show limited differentiation from the raw compute numbers alone.

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.

GTX 1080

ProviderRegionGPUsPer GPU / hrInstance / hrDeploy
LeaderGPUThe Netherlands4$0.45$1.80Deploy

1 provider in stock, 2 offers (cheapest per provider shown). All GTX 1080 offers, price history and alerts

P100

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

1 provider in stock, 2 offers (cheapest per provider shown). All P100 offers, price history and alerts

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When to Choose the GTX 1080

The GTX 1080 fits workloads constrained by power limits because its TDP of 180W stays below the 250W TDP of the P100. FP32 centric applications can use the GTX 1080 given its 8.9 TFLOPS FP32 rating that sits near the P100 9.3 TFLOPS FP32 rating. PCIe only environments also align with the GTX 1080 interconnect specification.

When to Choose the P100

The P100 serves tasks that require dense FP16 throughput at the published 18.7 TFLOPS level or memory capacity of 16 GB HBM2. Bandwidth at 732 GB/s further supports the P100 when batch sizes exceed what 320 GB/s on the GTX 1080 can sustain. NVLink availability on the P100 also enables multi GPU scaling beyond PCIe 3.0 limits.

Use Cases

LLM Training
P100

The P100 supplies dense FP16 at 18.7 TFLOPS together with 16 GB memory which exceeds GTX 1080 published capabilities.

LLM Inference
P100

Dense FP16 performance of 18.7 TFLOPS on the P100 enables higher throughput than the GTX 1080 with no published FP16 figure.

Fine-tuning
P100

The P100 732 GB/s bandwidth and 16 GB HBM2 memory allow larger batch sizes than the GTX 1080 320 GB/s and 8 GB GDDR5X.

Stable Diffusion
Either

FP32 ratings of 8.9 TFLOPS on the GTX 1080 and 9.3 TFLOPS on the P100 remain comparable for this workload.

Scientific Computing
P100

The P100 provides 9.3 TFLOPS FP32 along with NVLink support absent from the GTX 1080 PCIe only design.

Frequently Asked Questions

What FP32 performance do the GTX 1080 and P100 deliver?▾

The GTX 1080 reaches 8.9 TFLOPS FP32. The P100 reaches 9.3 TFLOPS FP32. These figures come directly from the published specifications for each GPU.

Does the P100 support dense FP16?▾

The P100 lists dense FP16 performance at 18.7 TFLOPS. The GTX 1080 carries no published FP16 value. This difference affects half precision training and inference workloads.

How does memory bandwidth compare between these GPUs?▾

The GTX 1080 provides 320 GB/s bandwidth. The P100 provides 732 GB/s bandwidth. Higher bandwidth on the P100 supports larger batch sizes in bandwidth limited applications.

What are the TDP values for the GTX 1080 and P100?▾

The GTX 1080 TDP equals 180W. The P100 TDP equals 250W. Power consumption therefore differs by 70W between the two models.

Which interconnects does each GPU support?▾

The GTX 1080 supports only PCIe 3.0. The P100 supports both NVLink and PCIe 3.0. Multi GPU scaling options therefore expand on the P100.

Which is cheaper to rent, the GTX 1080 or the P100?▾

Cloud rental prices for both the GTX 1080 and P100 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 GTX 1080 have compared to the P100?▾

The GTX 1080 has 8 to 11 GB of GDDR5X memory. The P100 has 16 GB of HBM2 memory.

Can I find GTX 1080 and P100 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 GTX 1080 and the P100?▾

The GTX 1080 uses the Pascal architecture (2016) while the P100 uses Pascal (2016). The GTX 1080 has 8-11 GB of GDDR5X at 320 GB/s; the P100 has 16 GB of HBM2 at 732 GB/s, so the P100 has 2.3x the memory bandwidth of the GTX 1080.

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How this page is made

  • Specifications come from the NVIDIA, AMD and Intel datasheets for the GTX 1080 and the P100. 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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