|
gptkbp:instance_of
|
gptkb:Graphics_Processing_Unit
|
|
gptkbp:architecture
|
gptkb:Turing
|
|
gptkbp:designed_for
|
gptkb:Artificial_Intelligence
|
|
gptkbp:dlc
|
gptkb:Yes
|
|
gptkbp:form_factor
|
gptkb:PCIe
Single Slot
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
NVIDIA T4
|
|
gptkbp:manufacturer
|
gptkb:NVIDIA_Corporation
gptkb:NVIDIA
|
|
gptkbp:memory_type
|
GDDR6
|
|
gptkbp:number_of_cores
|
320
2560
|
|
gptkbp:performance
|
FP32 Performance
130 TFLOPS
130 TOPS
65 TFLOPS
8.1 TFLOPS
260 TOPS
FP16 Performance
INT8 Performance
|
|
gptkbp:power_consumption
|
70 W
|
|
gptkbp:powers
|
70 W
|
|
gptkbp:ram
|
16 GB GDDR6
320 GB/s
|
|
gptkbp:release_date
|
gptkb:2018
|
|
gptkbp:supports
|
gptkb:Augmented_Reality
gptkb:NVIDIA_RTX
gptkb:Autonomous_Vehicles
gptkb:health_services
gptkb:virtual_reality
gptkb:Computer_Vision
gptkb:Natural_Language_Processing
gptkb:NVIDIA_CUDA
gptkb:NVIDIA_Tensor_RT
gptkb:NVIDIA_cu_DNN
gptkb:cloud_computing
gptkb:NVIDIA_Triton_Inference_Server
gptkb:NVIDIA_NGC
gptkb:NVIDIA_RAPIDS
gptkb:speeches
gptkb:machine_learning
gptkb:simulation
gptkb:Deep_Learning
gptkb:NVIDIA_Deep_Learning_SDK
gptkb:Data_Analytics
gptkb:robotics
High-Performance Computing
Image Recognition
Recommendation Systems
Scientific Computing
Virtualization
Financial Modeling
Video Processing
Big Data Processing
Docker Containers
Smart Cities
Graph Analytics
AI Inference
Multi-GPU configurations
AI Training
Io T Applications
|
|
gptkbp:target_market
|
gptkb:Edge_Computing
gptkb:cloud_computing
Data Centers
Enterprise AI
|
|
gptkbp:thermal_design_power
|
70 W
|
|
gptkbp:use_case
|
gptkb:machine_learning
gptkb:Data_Analytics
High-Performance Computing
Inference
Virtualization
|
|
gptkbp:uses
|
gptkb:NVLink
|
|
gptkbp:bfsParent
|
gptkb:NVIDIA_Corporation
gptkb:CUDA
gptkb:NVIDIA
|
|
gptkbp:bfsLayer
|
4
|