Tesla T4G: specs and benchmarks

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Summary

NVIDIA started Tesla T4G sales 13 September 2018. This is a Turing architecture desktop card based on 12 nm manufacturing process and primarily aimed at designers. 16 GB of GDDR6 memory clocked at 1.25 GHz are supplied, and together with 256 Bit memory interface this creates a bandwidth of 320.0 GB/s.

Compatibility-wise, this is a single-slot graphics card attached via PCIe 3.0 x16 interface. Its manufacturer default version has a length of 168 mm. No additional power connector is required, and power consumption is at 70 Watt.

Primary details

Some basic facts about Tesla T4G: architecture, market segment, release date etc.

Place in the rankingnot rated
Place by popularitynot in top-100
ArchitectureTuring (2018−2022)
GPU code nameTU104
Market segmentWorkstation
Release date13 September 2018 (6 years ago)

Detailed specifications

Tesla T4G's specs such as number of shaders, GPU base clock, manufacturing process, texturing and calculation speed. These parameters indirectly speak of Tesla T4G's performance, but for precise assessment you have to consider its benchmark and gaming test results.

Pipelines / CUDA cores2560of 21760 (GeForce RTX 5090)
Core clock speed585 MHzof 2800 MHz (Playstation 5 Pro GPU)
Boost clock speed1590 MHzof 3599 MHz (Radeon RX 7990 XTX)
Number of transistors13,600 millionof 208,000 million (B200 SXM 192 GB)
Manufacturing process technology12 nmof 3 nm (Arc Graphics 140V)
Power consumption (TDP)70 Wattof 2400 Watt (Data Center GPU Max Subsystem)
Texture fill rate254.4of 2,554 (Radeon Instinct MI300X)
Floating-point processing power8.141 TFLOPSof 109.7 (GeForce RTX 5090)
ROPs64of 192 (Radeon RX 7900 XTX)
TMUs160of 1280 (Data Center GPU Max NEXT)
Tensor Cores320of 1216 (Radeon Instinct MI300X)
Ray Tracing Cores40of 170 (GeForce RTX 5090)

Form factor & compatibility

This section provides details about the physical dimensions of Tesla T4G and its compatibility with other computer components. This information is useful when selecting a computer configuration or upgrading an existing one. For desktop graphics cards, it includes details about the interface and bus (for motherboard compatibility) and additional power connectors (for power supply compatibility).

InterfacePCIe 3.0 x16
Length168 mm
Width1-slot
Supplementary power connectorsNone

VRAM capacity and type

Parameters of memory installed on Tesla T4G: its type, size, bus, clock and resulting bandwidth. Note that GPUs integrated into processors have no dedicated memory and use a shared part of system RAM instead.

Memory typeGDDR6
Maximum RAM amount16 GBof 294912 (Radeon Instinct MI325X)
Memory bus width256 Bitof 8192 Bit (Radeon Instinct MI250X)
Memory clock speed1250 MHzof 20000 (RTX 5000 Ada Generation Mobile)
Memory bandwidth320.0 GB/sof 5,171 GB/s (Radeon Instinct MI300X)

Connectivity and outputs

Types and number of video connectors present on Tesla T4G. As a rule, this section is relevant only for desktop reference graphics cards, since for notebook ones the availability of certain video outputs depends on the laptop model, while non-reference desktop models can (though not necessarily will) bear a different set of video ports.

Display ConnectorsNo outputs

API compatibility

APIs supported by Tesla T4G, sometimes including their particular versions.

DirectX12 Ultimate (12_2)
Shader Model6.7
OpenGL4.6
OpenCL3.0
Vulkan1.3
CUDA7.5

Benchmark performance

Synthetic benchmark performance of Tesla T4G. The combined score is measured on a 0-100 point scale.



We have no data on Tesla T4G benchmark results.


AMD equivalent

According to our data, the closest AMD alternative to Tesla T4G is Radeon Pro Duo.

Similar GPUs

Here is our recommendation of several graphics cards that are more or less close in performance to the one reviewed.

Recommended processors

These processors are most commonly used with Tesla T4G according to our statistics.

All comparisons with Tesla T4G

Community ratings

Here you can see the user rating of the graphics card, as well as rate it yourself.


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Questions & comments

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