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DeepLearning
  • Home
    • jkhome
      • Epigon Media Technologies
      • K.U. Leuven
      • Share
      • Ph.D Thesis
    • jkEvents
      • PRIST University
      • Amrita Vishwa Vidyapeetham
      • IETEevent
      • Baranovichi
      • Sambhram
        • BO
        • Startups
        • MBA induction Y22
      • CV Raman Global Univ
      • Dayananda Sagar
      • Nirma University -CPS Y22
        • Thanks to Nirma Univ
        • DL in Microgrid
        • AI in Security
        • Pontryagin Duality
        • Daily Inspection
        • Russell
        • IIOT4pointZero
        • Abstract
        • Test
      • PMU
      • IIT-Guwahati
        • Device Making
        • Power Modules
        • Testing Device and package
        • 48V cs 12V
        • CPU+GPU in car
        • mmWave Radar
        • Reference-iitg
      • IIT-Guwahati -L2
        • Physics and Computing
      • GITEX2022
      • NFSU Goa
      • RGUKT
      • IEEEevent
      • Christ University
    • For +2 Students
      • Data Science
        • Maths for Data Science
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      • Physics
        • Modern Physics
        • Optics
        • Electricity and Magnetism
        • Thermal Physics
        • Mechanics
        • General
      • Maths
        • Integral calculus
        • Differential calculus
        • Vectors
        • Trigonometry
        • Probability
        • Matrices and Determinants
        • Binomial Theorem
        • Permutation and Combination
        • Logarithms
        • Sequence and Series
        • Quadratic Equations
        • Complex Numbers
      • Chemistry
        • Physical Chemistry
        • Organic Chemistry
        • Inorganic Chemistry
      • Utils
  • DLtrain
    • Introduction
    • Mathematical Theory
      • Discrete Probability
      • Bayesian Networks
      • Restricted Boltzmann machine
      • NN , CNN, RNN Model
      • Digital Twin
      • Large Model
      • QIS
    • Data Set
      • Data Source
      • Representation
      • TF support
      • PyTorch Support
      • DLtrain Native
      • Local Storage
      • Cloud Storage
    • Tool Set
      • Setup Jetson Nano
        • Resources
        • Installation
        • First Boot
        • JetPack
        • IO
        • Internet Access nano via Wi-Fi
        • RDP / SSH
        • git in nano
        • nvcc
        • cmake 3.14
        • Python
        • Kernel Update
        • Quick Demo
      • Compute via CUDA
        • Thread to Warp
        • NVCC
        • NICKEL
        • Practice CUDA core
      • Docker
      • DLtrain
      • colab
      • DSP
    • Train DL Networks
      • DLtrain for DL
      • TensorFlow for DL
      • Save DL Networks
    • Deploy DL Networks
      • Load DL Networks
      • Cloud Native Service
        • Deploy in Cloud
        • Inference via JavaScript
        • Flask Micro Service
      • Edge Native Service
        • J7 App
        • Kanshi
        • Near Edge
        • Jetson Nano DLtrain
        • Jetson Nano TF Model
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    • Discussion
      • IoT sensors
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      • IoT in 5G
  • More
    • Home
      • jkhome
        • Epigon Media Technologies
        • K.U. Leuven
        • Share
        • Ph.D Thesis
      • jkEvents
        • PRIST University
        • Amrita Vishwa Vidyapeetham
        • IETEevent
        • Baranovichi
        • Sambhram
          • BO
          • Startups
          • MBA induction Y22
        • CV Raman Global Univ
        • Dayananda Sagar
        • Nirma University -CPS Y22
          • Thanks to Nirma Univ
          • DL in Microgrid
          • AI in Security
          • Pontryagin Duality
          • Daily Inspection
          • Russell
          • IIOT4pointZero
          • Abstract
          • Test
        • PMU
        • IIT-Guwahati
          • Device Making
          • Power Modules
          • Testing Device and package
          • 48V cs 12V
          • CPU+GPU in car
          • mmWave Radar
          • Reference-iitg
        • IIT-Guwahati -L2
          • Physics and Computing
        • GITEX2022
        • NFSU Goa
        • RGUKT
        • IEEEevent
        • Christ University
      • For +2 Students
        • Data Science
          • Maths for Data Science
            • Week 1 M
            • Week 2 M
            • Week 3 M
            • Week 4 M
          • Statistics for Data Science
            • Week 1 S
            • Week 2 S
            • Week 3 S
            • Week 4 S
          • Computational Thinking
            • Week 1 C
            • Week 2 C
            • Week 3 C
            • Week 4 C
          • English
            • Week 1 E
            • Week 2 E
            • Week 3 E
            • Week 4 E
        • Physics
          • Modern Physics
          • Optics
          • Electricity and Magnetism
          • Thermal Physics
          • Mechanics
          • General
        • Maths
          • Integral calculus
          • Differential calculus
          • Vectors
          • Trigonometry
          • Probability
          • Matrices and Determinants
          • Binomial Theorem
          • Permutation and Combination
          • Logarithms
          • Sequence and Series
          • Quadratic Equations
          • Complex Numbers
        • Chemistry
          • Physical Chemistry
          • Organic Chemistry
          • Inorganic Chemistry
        • Utils
    • DLtrain
      • Introduction
      • Mathematical Theory
        • Discrete Probability
        • Bayesian Networks
        • Restricted Boltzmann machine
        • NN , CNN, RNN Model
        • Digital Twin
        • Large Model
        • QIS
      • Data Set
        • Data Source
        • Representation
        • TF support
        • PyTorch Support
        • DLtrain Native
        • Local Storage
        • Cloud Storage
      • Tool Set
        • Setup Jetson Nano
          • Resources
          • Installation
          • First Boot
          • JetPack
          • IO
          • Internet Access nano via Wi-Fi
          • RDP / SSH
          • git in nano
          • nvcc
          • cmake 3.14
          • Python
          • Kernel Update
          • Quick Demo
        • Compute via CUDA
          • Thread to Warp
          • NVCC
          • NICKEL
          • Practice CUDA core
        • Docker
        • DLtrain
        • colab
        • DSP
      • Train DL Networks
        • DLtrain for DL
        • TensorFlow for DL
        • Save DL Networks
      • Deploy DL Networks
        • Load DL Networks
        • Cloud Native Service
          • Deploy in Cloud
          • Inference via JavaScript
          • Flask Micro Service
        • Edge Native Service
          • J7 App
          • Kanshi
          • Near Edge
          • Jetson Nano DLtrain
          • Jetson Nano TF Model
      • Tutorial
        • Quick Review on skill
        • Deployment Engineer
        • Development Engineer
        • Design Engineer
        • Researcher
      • Silicon Vendors
        • DL Processor Trend
        • AMD FPGA
        • Nvidia
        • IBM Watson VR
          • Watson AI
          • Watson Studio
          • Watson VR service
          • Custom Model
          • vrTrain
          • vrTest
          • vrDeploy
          • vrClient APP
          • vrRecap
      • Discussion
        • IoT sensors
        • Healthcare
        • Agriculture
        • IoT in 5G
One Teacher able to handle not more than 40 students,  But Power AC922  expected to handle 2000 plus CUDA cores and 100 plus Tensor Cores,  when AI workload assigned to Power AC922. 
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