Nvidia RTX 500 Ada Generation Mobile vs Tesla K80

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Aggregate performance score

We've compared Tesla K80 with RTX 500 Ada Generation Mobile, including specs and performance data.

Tesla K80
2014
12 GB GDDR5, 300 Watt
15.19
Nvidia RTX 500 Ada Generation Mobile
2024
4 GB GDDR6, 35 Watt
27.30
+79.7%

Nvidia RTX 500 Ada Generation Mobile outperforms Tesla K80 by an impressive 80% based on our aggregate benchmark results.

Primary details

GPU architecture, market segment, value for money and other general parameters compared.

Place in the ranking351202
Place by popularitynot in top-100not in top-100
Power efficiency3.4753.47
ArchitectureKepler 2.0 (2013−2015)Ada Lovelace (2022−2024)
GPU code nameGK210AD107
Market segmentWorkstationMobile workstation
Release date17 November 2014 (10 years ago)26 February 2024 (less than a year ago)

Detailed specifications

General parameters such as number of shaders, GPU core base clock and boost clock speeds, manufacturing process, texturing and calculation speed. Note that power consumption of some graphics cards can well exceed their nominal TDP, especially when overclocked.

Pipelines / CUDA cores24962048
Core clock speed562 MHz1485 MHz
Boost clock speed824 MHz2025 MHz
Number of transistors7,100 million18,900 million
Manufacturing process technology28 nm5 nm
Power consumption (TDP)300 Watt35 Watt
Texture fill rate171.4129.6
Floating-point processing power4.113 TFLOPS8.294 TFLOPS
ROPs4832
TMUs20864
Tensor Coresno data64
Ray Tracing Coresno data16

Form factor & compatibility

Information on compatibility with other computer components. Useful when choosing a future computer configuration or upgrading an existing one. For desktop graphics cards it's interface and bus (motherboard compatibility), additional power connectors (power supply compatibility).

Laptop sizeno datamedium sized
InterfacePCIe 3.0 x16PCIe 4.0 x8
Length267 mmno data
Width2-slotno data
Supplementary power connectors1x 8-pinno data

VRAM capacity and type

Parameters of VRAM installed: its type, size, bus, clock and resulting bandwidth. Integrated GPUs have no dedicated video RAM and use a shared part of system RAM.

Memory typeGDDR5GDDR6
Maximum RAM amount12 GB4 GB
Memory bus width384 Bit64 Bit
Memory clock speed1253 MHz2000 MHz
Memory bandwidth240.6 GB/s128.0 GB/s
Shared memory--

Connectivity and outputs

Types and number of video connectors present on the reviewed GPUs. As a rule, data in this section is precise only for desktop reference ones (so-called Founders Edition for NVIDIA chips). OEM manufacturers may change the number and type of output ports, while for notebook cards availability of certain video outputs ports depends on the laptop model rather than on the card itself.

Display ConnectorsNo outputsPortable Device Dependent

API compatibility

List of supported 3D and general-purpose computing APIs, including their specific versions.

DirectX12 (11_1)12 Ultimate (12_2)
Shader Model5.16.8
OpenGL4.64.6
OpenCL1.23.0
Vulkan1.1.1261.3
CUDA3.78.9

Gaming performance

Let's see how good the compared graphics cards are for gaming. Particular gaming benchmark results are measured in FPS.

Pros & cons summary


Performance score 15.19 27.30
Recency 17 November 2014 26 February 2024
Maximum RAM amount 12 GB 4 GB
Chip lithography 28 nm 5 nm
Power consumption (TDP) 300 Watt 35 Watt

Tesla K80 has a 200% higher maximum VRAM amount.

Nvidia RTX 500 Ada Generation Mobile, on the other hand, has a 79.7% higher aggregate performance score, an age advantage of 9 years, a 460% more advanced lithography process, and 757.1% lower power consumption.

The RTX 500 Ada Generation Mobile is our recommended choice as it beats the Tesla K80 in performance tests.

Be aware that Tesla K80 is a workstation card while RTX 500 Ada Generation Mobile is a mobile workstation one.


Should you still have questions concerning choice between the reviewed GPUs, ask them in Comments section, and we shall answer.

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NVIDIA Tesla K80
Tesla K80
Nvidia RTX 500 Ada Generation Mobile
RTX 500 Ada Generation Mobile

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Community ratings

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Questions & comments

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