GTX 1070 vs P100

PascalvsPascalUpdated 35 days ago

The P100 emerges as the superior choice for most machine learning use cases. Its 16 GB HBM2 VRAM, 732 GB/s bandwidth, and 9.3 TFLOPS compute surpass the GTX 1070's 8 GB GDDR5, 256 GB/s, and 6.5 TFLOPS, enabling larger models and faster training. Availability from $0.07 per hour in cloud reinforces its practicality.

P100 from $0.60/hr

Specifications Compared

SpecGTX-1070P100
TDP150W250W
VRAM8 GB16 GB
CUDA Cores1,9203,584
Memory TypeGDDR5HBM2
ArchitecturePascalPascal
Form FactorsPCIeSXM2, PCIe
InterconnectNVLink
FP16 Performance6.5 TFLOPS9.3 TFLOPS
FP32 Performance6.5 TFLOPS9.3 TFLOPS
Memory Bandwidth256 GB/s732 GB/s

Performance Analysis

The P100 outperforms the GTX 1070 in compute throughput: 9.3 TFLOPS FP16 and FP32 compared to 6.5 TFLOPS. This delta translates to approximately 43 percent faster training and inference for floating-point operations in deep learning models. Pascal GPUs lack tensor cores, so FP16 benefits mixed-precision training without specialized acceleration.

Memory bandwidth presents the starkest contrast: 732 GB/s on the P100 versus 256 GB/s on the GTX 1070. Higher bandwidth enables larger batch sizes in memory-bound workloads like convolutional neural networks, reducing training time by minimizing data transfer bottlenecks. The P100's 16 GB HBM2 VRAM doubles the GTX 1070's 8 GB GDDR5, accommodating bigger models or datasets without swapping to host memory.

Power draw reflects capability: 250W TDP for the P100 against 150W for the GTX 1070. NVLink on the P100 facilitates multi-GPU scaling for distributed training, absent on the GTX 1070.

Live Cloud Pricing

Real-time prices from 25+ providers. Updated every 60 seconds.

P100

ProviderGPU ModelVRAMHost SpecsRegionPriceStatusAction
LeaderGPU
LeaderGPU
2×NVIDIA Tesla P100
16GB VRAM
$0.60/GPU/hr
$1.20/hr total (2×)
Available

Compare real-time pricing across 25+ providers

When to Choose the GTX 1070

The GTX 1070 suits low-power consumer setups or legacy gaming with inference needs fitting within 8 GB GDDR5 VRAM. Its 150W TDP enables deployment in power-sensitive environments like small-scale desktops. For tasks with batch sizes under memory bandwidth limits of 256 GB/s, it provides adequate 6.5 TFLOPS FP32 performance at potentially lower acquisition costs, though no current cloud offers exist.

When to Choose the P100

The P100 excels in professional machine learning with 16 GB HBM2 VRAM supporting larger models. Its 732 GB/s bandwidth handles high-throughput data movement for training at scale. NVLink enables efficient multi-GPU configurations, and cloud pricing from $0.07 per hour makes it viable for compute-intensive workloads requiring 9.3 TFLOPS FP16/FP32.

Use Cases

LLM Training
P100

The P100's 16 GB VRAM and 732 GB/s bandwidth support larger language models during training. Its 9.3 TFLOPS FP32 exceeds the GTX 1070's 6.5 TFLOPS for faster iterations.

LLM Inference
P100

P100 handles inference on bigger batches with 732 GB/s bandwidth and NVLink for scaling. GTX 1070's 8 GB VRAM limits model sizes.

Fine-tuning
P100

Double VRAM at 16 GB on P100 fits fine-tuning datasets better than 8 GB. Higher 9.3 TFLOPS speeds convergence.

Stable Diffusion
Either

Both Pascal GPUs manage Stable Diffusion within 8 GB VRAM limits at 6.5 or 9.3 TFLOPS. P100 offers bandwidth edge for higher resolutions.

Scientific Computing
P100

P100's NVLink and 732 GB/s bandwidth accelerate parallel simulations. 250W TDP supports sustained high-load computations.

Frequently Asked Questions

Which GPU has more VRAM?

The P100 provides 16 GB HBM2 VRAM. The GTX 1070 offers 8 GB GDDR5. This difference allows the P100 to handle larger models.

What is the memory bandwidth difference?

P100 achieves 732 GB/s with HBM2. GTX 1070 reaches 256 GB/s with GDDR5. Higher bandwidth on P100 improves data-heavy tasks.

How do FP32 performances compare?

Both deliver FP32 at 6.5 TFLOPS for GTX 1070 and 9.3 TFLOPS for P100. P100 processes floating-point operations 43 percent faster.

What are the power requirements?

GTX 1070 uses 150W TDP. P100 requires 250W TDP. Lower power suits GTX 1070 for constrained systems.

Is P100 available in the cloud?

P100 offers start from $0.07 per hour, averaging $0.25 per hour across three providers. GTX 1070 has no live cloud offers.

Does either support NVLink?

P100 includes NVLink for multi-GPU communication. GTX 1070 lacks this interconnect.

Which is cheaper to rent, the GTX 1070 or the P100?

Cloud rental prices for both the GTX 1070 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 1070 have compared to the P100?

The GTX 1070 has 8 GB of GDDR5 memory. The P100 has 16 GB of HBM2 memory.

Can I find GTX 1070 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 1070 and the P100?

The GTX 1070 uses the Pascal architecture (2016) while the P100 uses Pascal (2016). The P100 delivers 1.4x the FP16 throughput and 2.9x the memory bandwidth of the GTX 1070.

GTX 1070 vs P100: 16GB HBM2 vs 8GB GDDR5 | GPUPerHour