|
gptkbp:instance_of
|
gptkb:Graphics_Processing_Unit
|
|
gptkbp:ai
|
up to 130 TOPS
up to 320 Tensor Cores
up to 65 TFLOPS FP16
up to 8.1 TFLOPS FP32
|
|
gptkbp:application
|
gptkb:AI_Research
gptkb:Computer_Vision
gptkb:cloud_computing
gptkb:Data_Analytics
High-Performance Computing
|
|
gptkbp:architecture
|
gptkb:Turing
|
|
gptkbp:average_temperature
|
85 ° C
|
|
gptkbp:compatibility
|
gptkb:NVIDIA_NVLink
|
|
gptkbp:form_factor
|
gptkb:PCIe
Low-profile
Single-slot
|
|
gptkbp:has_ability
|
7.5
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
NVIDIA T4 GPU
|
|
gptkbp:manufacturer
|
gptkb:NVIDIA
|
|
gptkbp:market_launch
|
gptkb:2018
|
|
gptkbp:market_segment
|
AI and ML
|
|
gptkbp:memory_type
|
GDDR6
|
|
gptkbp:number_of_cores
|
320
2560
|
|
gptkbp:pciexpress_version
|
PCIe 4.0
|
|
gptkbp:performance
|
130 TOPS
65 TFLOPS
8.1 TFLOPS
|
|
gptkbp:power_consumption
|
70 W
|
|
gptkbp:powers
|
70 W
|
|
gptkbp:ram
|
16 GB GDDR6
320 GB/s
|
|
gptkbp:release_date
|
September 2018
|
|
gptkbp:release_year
|
gptkb:2018
|
|
gptkbp:resolution
|
7680 x 4320
|
|
gptkbp:successor
|
gptkb:NVIDIA_A10
gptkb:NVIDIA_A100
|
|
gptkbp:support
|
gptkb:Tensor_RT
gptkb:CUDA
gptkb:NVIDIA_Deep_Learning_SDK
|
|
gptkbp:target_market
|
Data centers
|
|
gptkbp:thermal_design_power
|
70 W
|
|
gptkbp:use_case
|
gptkb:machine_learning
gptkb:Deep_Learning
Inference
Virtualization
|
|
gptkbp:video_output
|
gptkb:Display_Port_1.4
HDMI 2.0b
|
|
gptkbp:bfsParent
|
gptkb:NVIDIA
|
|
gptkbp:bfsLayer
|
4
|