gptkbp:instance_of
|
gptkb:Tensor_Flow
|
gptkbp:architecture
|
application-specific integrated circuit (ASIC)
|
gptkbp:available_in
|
gptkb:Google_Cloud_Platform
|
gptkbp:available_on
|
virtual machines
bare metal
|
gptkbp:can_be_used_in
|
data centers
edge devices
|
gptkbp:competes_with
|
gptkb:NVIDIA_GPUs
|
gptkbp:designed_for
|
gptkb:AI_technology
|
gptkbp:developed_by
|
gptkb:Google
|
gptkbp:enables
|
faster training of models
inference at scale
|
gptkbp:features
|
matrix multiplication
high bandwidth memory
|
gptkbp:first_generation
|
gptkb:TPU_v4
gptkb:TPU_v3
gptkb:TPU_v1
gptkb:TPU_v2
|
gptkbp:has
|
multiple cores
|
gptkbp:has_performance_advantage_over
|
traditional CPUs
general-purpose GPUs
|
https://www.w3.org/2000/01/rdf-schema#label
|
Google TPU
|
gptkbp:introduced_in
|
gptkb:2016
|
gptkbp:is_a_framework_for
|
gptkb:JAX
gptkb:Py_Torch
|
gptkbp:is_available_in
|
various configurations
|
gptkbp:is_compatible_with
|
gptkb:Kubernetes
gptkb:Docker
|
gptkbp:is_considered_as
|
leading AI accelerator
|
gptkbp:is_designed_to
|
accelerate deep learning
|
gptkbp:is_integrated_with
|
gptkb:Google_services
|
gptkbp:is_known_for
|
energy efficiency
cost-effectiveness
high efficiency
|
gptkbp:is_optimized_for
|
large-scale machine learning
neural network workloads
|
gptkbp:is_part_of
|
Google AI ecosystem
AI hardware accelerators
Google's AI strategy
|
gptkbp:is_scalable
|
thousands of chips
|
gptkbp:is_supported_by
|
Google Cloud AI services
|
gptkbp:is_used_by
|
large enterprises
research institutions
startups
|
gptkbp:is_used_for
|
image recognition
speech recognition
recommendation systems
|
gptkbp:is_used_in
|
computer vision
natural language processing
reinforcement learning
|
gptkbp:provides
|
low latency
high throughput
|
gptkbp:supports
|
gptkb:Tensor_Flow
|
gptkbp:used_for
|
gptkb:machine_learning
|
gptkbp:uses
|
custom hardware
|
gptkbp:bfsParent
|
gptkb:ARM_Ethos_NPUs
gptkb:Cerebras_Wafer_Scale_Engine_2
gptkb:NVIDIA_T4_GPUs
gptkb:AWS_Inferentia
|
gptkbp:bfsLayer
|
6
|