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NVIDIA Quadro P2000 5GB vs NVIDIA Tesla K80 24GB

The Tesla K80 delivers 87% more FP32 throughput than the Quadro P2000 (5.6 vs 3 TFLOPS dense). The Tesla K80 also carries 19 GB more memory (24 GB vs 5 GB).

Quadro P2000: Pascal, 2017 Tesla K80: Kepler, 2014
FP32 dense lead
+87%
Tesla K80: 5.6 vs 3 TFLOPS
Memory
5 vs 24 GB
19 GB more for the Tesla K80
Bandwidth
140 GB/s vs 480 GB/s
Tesla K80 moves data faster
TDP
75 W vs 300 W
Quadro P2000 draws 225 W less
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NVIDIA Quadro P2000 5GB vs NVIDIA Tesla K80 24GB

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NVIDIA Quadro P2000 5GB

Full specs →

What is the NVIDIA Quadro P2000?

The Quadro P2000 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. Quadro P2000 full specifications →

Can I rent the Quadro P2000 in the cloud?

Flopper is not tracking any live rental listings for the Quadro P2000 yet. The provider directory lists the clouds that rent comparable accelerators on demand. GPU cloud providers →

How does the Quadro P2000 compare with other accelerators?

This page sets the Quadro P2000 against the Tesla K80. The Quadro P2000 is the newer generation of the two. Both are NVIDIA parts, and both ship as a PCIe card, so they fit the same class of system. The compare tool builds the same comparison for any two parts in the catalogue. All GPU comparisons →

Where do the Quadro P2000 figures come from?

Every Quadro P2000 figure on this page traces to NVIDIA's own datasheet or specification table. How Flopper verifies specifications →

NVIDIA Tesla K80 24GB

Leads on FP32 Full specs →

What is the NVIDIA Tesla K80?

The Tesla K80 is a GPU from NVIDIA on the Kepler 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 K80 full specifications →

Can I rent the Tesla K80 in the cloud?

Flopper is not tracking any live rental listings for the Tesla K80 yet. The provider directory lists the clouds that rent comparable accelerators on demand. GPU cloud providers →

How does the Tesla K80 compare with other accelerators?

This page sets the Tesla K80 against the Quadro P2000. The Tesla K80 is the older generation of the two. Both are NVIDIA parts, and both ship as a PCIe card, so they fit the same class of system. The compare tool builds the same comparison for any two parts in the catalogue. All GPU comparisons →

Where do the Tesla K80 figures come from?

Every Tesla K80 figure on this page traces to NVIDIA's own datasheet or specification table. How Flopper verifies specifications →

Specifications

Quadro P2000
Tesla K80
Architecture
PascalKepler
Launch Year
20172014
Form Factor
PCIePCIe
Memory
5 GB24 GB
Memory Bandwidth
140 GB/s480 GB/s
TDP
75 W300 W
Process Node
16nm28nm

Performance (TFLOPS)

Quadro P2000
Tesla K80
No verified data available1.9 TFLOPS
3 TFLOPS 5.6 TFLOPS
No verified data available No verified data available
No verified data available No verified data available
No verified data available 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 available No verified data available

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

The Quadro P2000 is the newer part: Pascal (2017) against the Tesla K80's Kepler (2014).

The Tesla K80 carries 19 GB more memory (24 GB against 5 GB), so larger models fit on one GPU before you shard. Bandwidth is 140 GB/s against 480 GB/s, which sets the ceiling on decode speed.

Power is 75 W against 300 W, and at FP32 the Quadro P2000 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, Sparsity and TFLOPS. For how the generations relate, see NVIDIA architectures explained.

Frequently asked questions

What is better, the Quadro P2000 or the Tesla K80?

The Tesla K80, on throughput. At FP32 precision the Tesla K80 reaches 5.6 TFLOPS dense against 3 TFLOPS for the Quadro P2000. The performance table on this page lists every published precision for both GPUs.

Which should you choose, the Quadro P2000 or the Tesla K80?

Choose the Tesla K80 for training and high-throughput inference: it has 87% more FP32 throughput than the Quadro P2000. It also carries 19 GB more memory, so larger models fit on one GPU before you shard. The Tesla K80 draws 225 W more power, so budget for cooling and power delivery before you commit.

Which has more memory, the Quadro P2000 or the Tesla K80?

The Tesla K80 carries 24 GB of memory versus 5 GB for the Quadro P2000. Memory bandwidth is 140 GB/s for the Quadro P2000 and 480 GB/s for the Tesla K80.

How much power do the Quadro P2000 and the Tesla K80 draw?

The Quadro P2000 is rated at 75 W TDP and the Tesla K80 at 300 W. On FP32 throughput per watt, the Quadro P2000 is the more efficient part.

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