|
gptkbp:instance_of
|
gptkb:Tensor_Flow
|
|
gptkbp:access
|
gptkb:API
|
|
gptkbp:architecture
|
custom ASIC
|
|
gptkbp:availability
|
global
|
|
gptkbp:available_in
|
gptkb:Google_Cloud_Platform
|
|
gptkbp:benefits
|
cost efficiency
|
|
gptkbp:collaboration
|
academic institutions
open source projects
industry partners
|
|
gptkbp:compute
|
floating point operations
|
|
gptkbp:cost_model
|
pay-as-you-go
|
|
gptkbp:designed_by
|
gptkb:Google
|
|
gptkbp:environment
|
cloud computing environment
|
|
gptkbp:equipment
|
integrated circuits
|
|
gptkbp:first_generation
|
second generation
|
|
gptkbp:has_programs
|
TPU software stack
|
|
gptkbp:has_research_center
|
gptkb:Google_data_centers
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
cloud TPUs
|
|
gptkbp:image_processing
|
large datasets
|
|
gptkbp:integration
|
gptkb:Kubernetes
|
|
gptkbp:is_scalable
|
high
|
|
gptkbp:model_inference
|
accelerated
|
|
gptkbp:model_training
|
accelerated
|
|
gptkbp:performance
|
gptkb:MLPerf
low
high throughput
|
|
gptkbp:power_consumption
|
optimized
|
|
gptkbp:provides_training_for
|
large models
|
|
gptkbp:ram
|
high bandwidth memory
|
|
gptkbp:released_in
|
gptkb:2016
|
|
gptkbp:research_focus
|
gptkb:AI_technology
|
|
gptkbp:security
|
cloud security measures
|
|
gptkbp:support
|
gptkb:Tensor_Flow
gptkb:JAX
gptkb:machine_learning
gptkb:Py_Torch
computer vision
natural language processing
real-time analytics
edge computing
reinforcement learning
speech recognition
data augmentation
image classification
recommendation systems
transfer learning
video analysis
time series forecasting
anomaly detection
simulation models
data pipelines
distributed training
multi-modal learning
graph neural networks
mixed precision training
federated learning
cloud functions
Io T applications
large language models
|
|
gptkbp:training_frameworks
|
supports multiple frameworks
|
|
gptkbp:training_speed
|
faster than GPUs
|
|
gptkbp:tuning
|
model optimization
|
|
gptkbp:type
|
gptkb:Accelerator
|
|
gptkbp:usage
|
deep learning
|
|
gptkbp:used_for
|
gptkb:machine_learning
|
|
gptkbp:user_base
|
gptkb:developers
gptkb:researchers
data scientists
|
|
gptkbp:user_interface
|
web interface
command line interface
|
|
gptkbp:bfsParent
|
gptkb:Google_Cloud_AI_Platform_Hyperparameter_Tuning_Jobs
|
|
gptkbp:bfsLayer
|
5
|