GeForce RTX 4080 SUPER vs Data Center GPU Flex 140

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Primary details

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

Place in the rankingnot rated5
Place by popularitynot in top-10068
Cost-effectiveness evaluationno data38.16
Power efficiencyno data19.18
ArchitectureGeneration 12.7 (2022−2023)Ada Lovelace (2022−2024)
GPU code nameDG2-128AD103
Market segmentWorkstationDesktop
Release date24 August 2022 (2 years ago)8 January 2024 (less than a year ago)
Launch price (MSRP)no data$999

Cost-effectiveness evaluation

Performance to price ratio. The higher, the better.

no data

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 cores102410240
Core clock speed1600 MHz2295 MHz
Boost clock speed1950 MHz2550 MHz
Number of transistors7,200 million45,900 million
Manufacturing process technology6 nm5 nm
Power consumption (TDP)75 Watt320 Watt
Texture fill rate124.8816.0
Floating-point processing power3.994 TFLOPS52.22 TFLOPS
ROPs32112
TMUs64320
Tensor Coresno data320
Ray Tracing Cores880

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).

InterfacePCIe 4.0 x8PCIe 4.0 x16
Length170 mm310 mm
Width1-slot3-slot
Supplementary power connectors1x 8-pin1x 16-pin

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 typeGDDR6GDDR6X
Maximum RAM amount6 GB16 GB
Memory bus width96 Bit256 Bit
Memory clock speed1937 MHz1438 MHz
Memory bandwidth186.0 GB/s736.3 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 Connectors1x HDMI 2.1, 3x DisplayPort 2.01x HDMI 2.1, 3x DisplayPort 1.4a
HDMI++

API compatibility

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

DirectX12 Ultimate (12_2)12 Ultimate (12_2)
Shader Model6.66.8
OpenGL4.64.6
OpenCL3.03.0
Vulkan1.31.3
CUDA-8.9

Pros & cons summary


Recency 24 August 2022 8 January 2024
Maximum RAM amount 6 GB 16 GB
Chip lithography 6 nm 5 nm
Power consumption (TDP) 75 Watt 320 Watt

Data Center GPU Flex 140 has 326.7% lower power consumption.

RTX 4080 SUPER, on the other hand, has an age advantage of 1 year, a 166.7% higher maximum VRAM amount, and a 20% more advanced lithography process.

We couldn't decide between Data Center GPU Flex 140 and GeForce RTX 4080 SUPER. We've got no test results to judge.

Be aware that Data Center GPU Flex 140 is a workstation graphics card while GeForce RTX 4080 SUPER is a desktop one.


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

Vote for your favorite

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Intel Data Center GPU Flex 140
Data Center GPU Flex 140
NVIDIA GeForce RTX 4080 SUPER
GeForce RTX 4080 SUPER

Comparisons with similar GPUs

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Community ratings

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4.8 4 votes

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4.1 1711 votes

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Questions & comments

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