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NVIDIA P100 SXM2 16GB vs NVIDIA Tesla P4 8GB

The P100 delivers 93% more FP32 throughput than the Tesla P4 (11 vs 5.5 TFLOPS dense). The P100 also carries 8 GB more memory (16 GB vs 8 GB).

P100: Pascal, 2016 Tesla P4: Pascal, 2016
FP32 dense lead
+93%
P100: 11 vs 5.5 TFLOPS
Memory
16 vs 8 GB
8 GB more for the P100
Bandwidth
732 GB/s vs 192 GB/s
P100 moves data faster
TDP
300 W vs 75 W
Tesla P4 draws 225 W less
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NVIDIA P100 SXM2 16GB vs NVIDIA Tesla P4 8GB

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NVIDIA P100 SXM2 16GB

Leads on FP32 Full specs →

What is the NVIDIA P100?

The P100 is a GPU from NVIDIA on the Pascal architecture, an accelerator for AI training, inference and high-performance computing. It is an SXM module, the mezzanine format used in dense multi-GPU servers. P100 full specifications →

Can I rent the P100 in the cloud?

Flopper is not tracking any live rental listings for the P100 yet. The provider directory lists the clouds that rent comparable accelerators on demand. GPU cloud providers →

How does the P100 compare with other accelerators?

This page sets the P100 against the Tesla P4. Both parts launched in the same year. Both are NVIDIA parts; the P100 is an SXM module while the Tesla P4 is a PCIe card. The compare tool builds the same comparison for any two parts in the catalogue. All GPU comparisons →

Where do the P100 figures come from?

Every P100 figure on this page traces to NVIDIA's own datasheet or specification table. How Flopper verifies specifications →

NVIDIA Tesla P4 8GB

Full specs →

What is the NVIDIA Tesla P4?

The Tesla P4 is a GPU from NVIDIA on the Pascal architecture, an accelerator for AI training, inference and high-performance computing. It is a PCIe add-in card, so it fits standard servers and workstations. Tesla P4 full specifications →

Can I rent the Tesla P4 in the cloud?

Flopper is not tracking any live rental listings for the Tesla P4 yet. The provider directory lists the clouds that rent comparable accelerators on demand. GPU cloud providers →

How does the Tesla P4 compare with other accelerators?

This page sets the Tesla P4 against the P100. Both parts launched in the same year. Both are NVIDIA parts; the Tesla P4 is a PCIe card while the P100 is an SXM module. The compare tool builds the same comparison for any two parts in the catalogue. All GPU comparisons →

Where do the Tesla P4 figures come from?

Every Tesla P4 figure on this page traces to NVIDIA's own datasheet or specification table. How Flopper verifies specifications →

Specifications

P100
Tesla P4
Architecture
PascalPascal
Launch Year
20162016
Form Factor
SXMPCIe
Memory
16 GB8 GB
Memory Bandwidth
732 GB/s192 GB/s
TDP
300 W75 W
Process Node
16nm16nm

Performance (TFLOPS)

P100
Tesla P4
5.3 TFLOPS No verified data available
11 TFLOPS 5.5 TFLOPS
No verified data available No verified data available
No verified data available No verified data available
21 TFLOPS No verified data available
No verified data available No verified data available
FP6
No verified data available No verified data available
No verified data available No verified data available
No verified data available22 TOPS

Figures are dense. Where a vendor publishes a figure it sits under the dense one and never decides a winner. Hover any precision for its definition, or read the GPU glossary.

FLOPS by Precision

What actually differs

Both launched in 2016, the P100 on Pascal and the Tesla P4 on Pascal.

The P100 carries 8 GB more memory (16 GB against 8 GB), so larger models fit on one GPU before you shard. Bandwidth is 732 GB/s against 192 GB/s, which sets the ceiling on decode speed.

Power is 300 W against 75 W, and at FP32 the Tesla P4 does more work per watt. Weight the FP8 and FP16 rows for LLM work and the FP64 row for HPC.

New to the terms? The glossary explains FP64, FP32, FP16, INT8, Sparsity and TFLOPS. For how the generations relate, see NVIDIA architectures explained.

Frequently asked questions

Is the P100 faster than the Tesla P4?

At FP32 precision the P100 reaches 11 TFLOPS dense against 5.5 TFLOPS for the Tesla P4. The performance table on this page lists every published precision for both GPUs.

Which should you choose, the P100 or the Tesla P4?

Choose the P100 for training and high-throughput inference: it has 93% more FP32 throughput than the Tesla P4. It also carries 8 GB more memory, so larger models fit on one GPU before you shard. The P100 draws 225 W more power, so budget for cooling and power delivery before you commit. Packaging differs too: the P100 is an SXM module while the Tesla P4 is a PCIe card, so check what your servers accept.

Which has more memory, the P100 or the Tesla P4?

The P100 carries 16 GB of memory versus 8 GB for the Tesla P4. Memory bandwidth is 732 GB/s for the P100 and 192 GB/s for the Tesla P4.

How much power do the P100 and the Tesla P4 draw?

The P100 is rated at 300 W TDP and the Tesla P4 at 75 W. On FP32 throughput per watt, the Tesla P4 is the more efficient part.

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