GPU comparison

P100 vs RTX 3070

Specifications and current cloud pricing, side by side.

PascalvsAmpereUpdated 32 days ago

The RTX 3070 wins for the most common use case of LLM inference because its 40.6 TFLOPS dense FP16 more than doubles the P100 dense FP16 value of 18.7 TFLOPS at a lower TDP of 220W versus 250W.

P100 listed from $0.09/GPU/hrRTX 3070 listed from $0.13/GPU/hr

Right now, from live stock

Specifications Compared

SpecP100RTX 3070
TDP250W220W
VRAM16 GB8 GB
CUDA Cores3,5845,888
Memory TypeHBM2GDDR6
ArchitecturePascalAmpere
FP16 (dense)18.7 TFLOPS40.6 TFLOPS
Form FactorsSXM2, PCIePCIe
INT8 (dense)Not published162.6 TOPS
InterconnectNVLink, PCIe 3.0PCIe 4.0
Tensor CoresNot published184
FP32 Performance9.3 TFLOPS20.3 TFLOPS
FP64 Performance4.7 TFLOPSNot published
Memory Bandwidth732 GB/s448 GB/s
FP16 (with sparsity)Not published81.3 TFLOPS
INT8 (with sparsity)Not published325.2 TOPS

Performance Analysis

The RTX 3070 dense FP16 figure of 40.6 TFLOPS exceeds the P100 dense FP16 figure of 18.7 TFLOPS and therefore supports faster training iterations when model size fits in 8 GB. The P100 bandwidth of 732 GB/s surpasses the RTX 3070 bandwidth of 448 GB/s and permits larger batch sizes during memory intensive operations even though FP32 performance remains lower at 9.3 TFLOPS versus 20.3 TFLOPS. The RTX 3070 also lists 81.3 TFLOPS FP16 with sparsity which has no direct counterpart on the P100 and therefore offers an additional path for accelerated inference when sparsity can be applied.

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

RTX 3070

RTX 3070 is not offered on-demand by any provider we track right now. See the RTX 3070 rental page for last-seen listed prices and a price alert.

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When to Choose the P100

The P100 becomes the better choice for scientific computing tasks that require the full 16 GB HBM2 capacity and 732 GB/s bandwidth to handle large datasets. Its NVLink interconnect further supports scaling across multiple cards in environments where PCIe 3.0 limits would constrain the RTX 3070.

When to Choose the RTX 3070

The RTX 3070 becomes the better choice for fine tuning workloads that exploit 40.6 TFLOPS dense FP16 together with 220W TDP and PCIe 4.0 connectivity on contemporary host platforms.

Use Cases

LLM Training
RTX 3070

The RTX 3070 reaches 40.6 TFLOPS dense FP16 compared with 18.7 TFLOPS dense FP16 on the P100.

LLM Inference
RTX 3070

The RTX 3070 reaches 40.6 TFLOPS dense FP16 compared with 18.7 TFLOPS dense FP16 on the P100.

Fine-tuning
RTX 3070

The RTX 3070 reaches 40.6 TFLOPS dense FP16 compared with 18.7 TFLOPS dense FP16 on the P100.

Stable Diffusion
RTX 3070

The RTX 3070 reaches 40.6 TFLOPS dense FP16 compared with 18.7 TFLOPS dense FP16 on the P100.

Scientific Computing
P100

The P100 supplies 16 GB HBM2 memory and 732 GB/s bandwidth which exceed the RTX 3070 values.

Frequently Asked Questions

How does FP32 performance compare between the P100 and RTX 3070?▾

The P100 delivers 9.3 TFLOPS FP32 while the RTX 3070 delivers 20.3 TFLOPS FP32.

What memory configurations distinguish the P100 from the RTX 3070?▾

The P100 provides 16 GB HBM2 with 732 GB/s bandwidth whereas the RTX 3070 provides 8 GB GDDR6 with 448 GB/s bandwidth.

Does the RTX 3070 support sparse FP16 operations?▾

The RTX 3070 lists 81.3 TFLOPS FP16 with sparsity while the P100 lists only 18.7 TFLOPS dense FP16.

Which GPU has higher dense FP16 throughput?▾

The RTX 3070 supplies 40.6 TFLOPS dense FP16 while the P100 supplies 18.7 TFLOPS dense FP16.

What power limits apply to each card?▾

The P100 carries a 250W TDP and the RTX 3070 carries a 220W TDP.

Which is cheaper to rent, the P100 or the RTX 3070?▾

Cloud rental prices for both the P100 and RTX 3070 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 3070?▾

The P100 has 16 GB of HBM2 memory. The RTX 3070 has 8 GB of GDDR6 memory.

Can I find P100 and RTX 3070 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 3070?▾

The P100 uses the Pascal architecture (2016) while the RTX 3070 uses Ampere (2020). The RTX 3070 delivers 2.2x the dense FP16 throughput (40.6 vs 18.7 TFLOPS, both without sparsity) while the P100 has 1.6x the memory bandwidth of the RTX 3070.

Rent these GPUs

Each GPU page lists every current on-demand offer by provider, per GPU-hour, updated every minute.

Related comparisons

How this page is made

  • Specifications come from the NVIDIA, AMD and Intel datasheets for the P100 and the RTX 3070. 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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