|
gptkbp:instance_of
|
gptkb:Graphics_Processing_Unit
|
|
gptkbp:ai
|
gptkb:GPT-2
gptkb:BERT
gptkb:Transformer_Models
gptkb:Res_Net
gptkb:Yes
gptkb:YOLO
|
|
gptkbp:architecture
|
gptkb:Turing
|
|
gptkbp:compatibility
|
gptkb:VMware
gptkb:Linux
gptkb:Windows
|
|
gptkbp:deep_learning_frameworks_supported
|
gptkb:Tensor_Flow
gptkb:Caffe
gptkb:Chainer
gptkb:MXNet
gptkb:Py_Torch
|
|
gptkbp:deep_learning_inference
|
gptkb:Yes
|
|
gptkbp:deep_learning_training
|
gptkb:Yes
|
|
gptkbp:form_factor
|
gptkb:PCIe
Low Profile
|
|
gptkbp:has_ability
|
7.5
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
NVIDIA Tesla T4
|
|
gptkbp:manufacturer
|
gptkb:NVIDIA
|
|
gptkbp:market_segment
|
gptkb:enterprise_solutions
gptkb:research
gptkb:Education
Finance
Healthcare
|
|
gptkbp:network
|
No
|
|
gptkbp:number_of_cores
|
320
2560
|
|
gptkbp:pciexpress_version
|
gptkb:3.0
|
|
gptkbp:performance
|
130 TOPS
65 TFLOPS
8.1 TFLOPS
|
|
gptkbp:power_connector
|
6-pin
|
|
gptkbp:powers
|
70 W
|
|
gptkbp:ram
|
16 GB GDDR6
320 GB/s
|
|
gptkbp:release_date
|
gptkb:2018
|
|
gptkbp:released
|
gptkb:Tesla
|
|
gptkbp:resolution
|
4096 x 2160
|
|
gptkbp:targets
|
AI and Deep Learning
|
|
gptkbp:tdp
|
70 W
|
|
gptkbp:use_case
|
gptkb:cloud_computing
gptkb:research_center
gptkb:machine_learning
High-Performance Computing
Graphics Rendering
|
|
gptkbp:virtualization_support
|
gptkb:Yes
|
|
gptkbp:vram_type
|
GDDR6
|
|
gptkbp:bfsParent
|
gptkb:NVIDIA_Tesla
|
|
gptkbp:bfsLayer
|
5
|