RTX 4000 SFF Ada Generation vs Data Center GPU Flex 170

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Primary details

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

Place in the rankingnot rated46
Place by popularitynot in top-100not in top-100
Power efficiencyno data54.14
ArchitectureGeneration 12.7 (2022−2023)Ada Lovelace (2022−2024)
GPU code nameDG2-512AD104
Market segmentWorkstationWorkstation
Release date24 August 2022 (2 years ago)21 March 2023 (1 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 cores40966144
Core clock speed1950 MHz720 MHz
Boost clock speed2050 MHz1560 MHz
Number of transistors21,700 million35,800 million
Manufacturing process technology6 nm5 nm
Power consumption (TDP)150 Watt70 Watt
Texture fill rate524.8299.5
Floating-point processing power16.79 TFLOPS19.17 TFLOPS
ROPs12880
TMUs256192
Tensor Coresno data192
Ray Tracing Cores3248

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 x16PCIe 4.0 x16
Lengthno data168 mm
Width2-slot2-slot
Supplementary power connectors1x 8-pinNone

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 typeGDDR6GDDR6
Maximum RAM amount16 GB20 GB
Memory bus width256 Bit160 Bit
Memory clock speed2000 MHz1750 MHz
Memory bandwidth512.0 GB/s280.0 GB/s

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 2.04x mini-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 21 March 2023
Maximum RAM amount 16 GB 20 GB
Chip lithography 6 nm 5 nm
Power consumption (TDP) 150 Watt 70 Watt

RTX 4000 SFF Ada Generation has an age advantage of 6 months, a 25% higher maximum VRAM amount, a 20% more advanced lithography process, and 114.3% lower power consumption.

We couldn't decide between Data Center GPU Flex 170 and RTX 4000 SFF Ada Generation. We've got no test results to judge.


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

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Intel Data Center GPU Flex 170
Data Center GPU Flex 170
NVIDIA RTX 4000 SFF Ada Generation
RTX 4000 SFF Ada Generation

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Community ratings

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3.7 3 votes

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4.3 49 votes

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Questions & comments

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