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DeepLearning
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    • Deep Learning
      • Data Science
        • Maths for Data Science
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      • Boltzmann Machine
        • Digital Twin Phy
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      • PRIST University
      • Amrita Vishwa Vidyapeetham
      • IETEevent
      • Baranovichi
        • Model
          • TF Model
          • DLtrain Model
        • Data-Set
          • IBM Cloud Object Storage
          • MNIST++
        • Train DL Model
          • CoLab
          • TF On Prime CPU
          • Build DLtrain in Power 9
          • Build DLtrain for jetson Nano
          • Build DLtrain in Docker x86
          • DLtrain in Windows M/C
          • DLtrain On Prime CPU
        • Save and Load
        • Inference
          • Flask Micro Service
          • Inference via JavaScript
          • Deploy in Cloud
          • Android Phone
          • Jetson Nano TF Model
          • Jetson Nano DLtrain
          • Near Edge
          • DL Model Update
      • Sambhram
        • Digital Twin
        • Edge Ready
        • BO
        • Startups
        • MBA induction Y22
      • CV Raman Global Univ
        • Thanks
        • Microgrid
        • AI in Monitoring MG
        • IoT sensors
        • Interpret Measurements
        • Edge in Microgrid
        • DLtrain in Jetson Nano
        • AI in Smart phone
        • Deploy AI in Sensors
        • Thank You
      • Dayananda Sagar
      • Nirma University -CPS Y22
        • Thanks to Nirma Univ
        • DL in Microgrid
        • AI in Security
        • Pontryagin Duality
        • Daily Inspection
        • Boltzmann2NN
        • CPS
        • Russell
        • IIOT4pointZero
        • Abstract
        • Test
      • PMU
      • Dancing to Music
      • IIT-Guwahati
        • Device Making
        • Power Modules
        • Testing Device and package
        • 48V cs 12V
        • CPU+GPU in car
        • mmWave Radar
        • Reference-iitg
      • IIT-Guwahati -L2
        • DL Processor Trend
        • Physics and Computing
      • GITEX2022
      • NFSU Goa
    • STEM
      • 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
    • Digital Radio
    • Digital Audio
  • DLtrain
    • Introduction to DLtrain
    • Mathematical Theory
    • Data Set
    • AI Model Design
    • Training AI Model
    • Save AI Model
    • Load AI Model
    • Micro Inference Service
    • Deploy in Edge
      • J7 App
        • Android SDK
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        • J7 Source Code
        • Credential Update
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        • Install APK in Phone
        • Using J7
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      • IoT in 5G
      • Healthcare
        • Ventilator
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    • Silicon Vendors to Device
    • FAQ in DLtrain
  • GPU+FPGA
    • Compute via CUDA
      • Introduction
      • Vector Add in CUDA
      • NV Switch
      • MAT Mul in CUDA
        • tst1.py
        • tst2.py
        • tst3.py
        • tst4.py
      • Reference
    • Setting Up
      • 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
    • Open Power
    • FPGA
  • More
    • Home
      • jkhome
        • Share
      • Deep Learning
        • 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
        • Boltzmann Machine
          • Digital Twin Phy
          • Prof G E Hinton
          • Quantum Mechanics
      • jkEvents
        • PRIST University
        • Amrita Vishwa Vidyapeetham
        • IETEevent
        • Baranovichi
          • Model
            • TF Model
            • DLtrain Model
          • Data-Set
            • IBM Cloud Object Storage
            • MNIST++
          • Train DL Model
            • CoLab
            • TF On Prime CPU
            • Build DLtrain in Power 9
            • Build DLtrain for jetson Nano
            • Build DLtrain in Docker x86
            • DLtrain in Windows M/C
            • DLtrain On Prime CPU
          • Save and Load
          • Inference
            • Flask Micro Service
            • Inference via JavaScript
            • Deploy in Cloud
            • Android Phone
            • Jetson Nano TF Model
            • Jetson Nano DLtrain
            • Near Edge
            • DL Model Update
        • Sambhram
          • Digital Twin
          • Edge Ready
          • BO
          • Startups
          • MBA induction Y22
        • CV Raman Global Univ
          • Thanks
          • Microgrid
          • AI in Monitoring MG
          • IoT sensors
          • Interpret Measurements
          • Edge in Microgrid
          • DLtrain in Jetson Nano
          • AI in Smart phone
          • Deploy AI in Sensors
          • Thank You
        • Dayananda Sagar
        • Nirma University -CPS Y22
          • Thanks to Nirma Univ
          • DL in Microgrid
          • AI in Security
          • Pontryagin Duality
          • Daily Inspection
          • Boltzmann2NN
          • CPS
          • Russell
          • IIOT4pointZero
          • Abstract
          • Test
        • PMU
        • Dancing to Music
        • IIT-Guwahati
          • Device Making
          • Power Modules
          • Testing Device and package
          • 48V cs 12V
          • CPU+GPU in car
          • mmWave Radar
          • Reference-iitg
        • IIT-Guwahati -L2
          • DL Processor Trend
          • Physics and Computing
        • GITEX2022
        • NFSU Goa
      • STEM
        • 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
      • Digital Radio
      • Digital Audio
    • DLtrain
      • Introduction to DLtrain
      • Mathematical Theory
      • Data Set
      • AI Model Design
      • Training AI Model
      • Save AI Model
      • Load AI Model
      • Micro Inference Service
      • Deploy in Edge
        • J7 App
          • Android SDK
          • Android NDK
          • J7 Source Code
          • Credential Update
          • J7Build
          • Generate APK
          • Install APK in Phone
          • Using J7
        • Kanshi
        • IoT in 5G
        • Healthcare
          • Ventilator
        • Agriculture
      • IBM Watson VR
        • Watson AI
        • Watson Studio
        • Watson VR service
        • Custom Model
        • vrTrain
        • vrTest
        • vrDeploy
        • vrClient APP
        • vrRecap
      • Silicon Vendors to Device
      • FAQ in DLtrain
    • GPU+FPGA
      • Compute via CUDA
        • Introduction
        • Vector Add in CUDA
        • NV Switch
        • MAT Mul in CUDA
          • tst1.py
          • tst2.py
          • tst3.py
          • tst4.py
        • Reference
      • Setting Up
        • 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
      • Open Power
      • FPGA
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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