Properties (53)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:Graphics_Processing_Unit
|
| gptkbp:application |
computer vision
image recognition natural language processing reinforcement learning speech recognition |
| gptkbp:architect |
gptkb:custom_ASIC
|
| gptkbp:availability |
on-demand access
|
| gptkbp:availableIn |
gptkb:Google_Cloud
|
| gptkbp:benefits |
reduced training time
|
| gptkbp:collaborations |
with universities
with research institutions |
| gptkbp:community |
active developer community
|
| gptkbp:designedBy |
gptkb:Google
|
| gptkbp:energyEfficiency |
optimized for AI workloads
|
| gptkbp:environment |
cloud-based
on-premises options available |
| gptkbp:features |
deep learning
matrix multiplication data parallelism model parallelism neural network training |
| gptkbp:firstIntroduced |
2016
|
| gptkbp:futurePlans |
expected to evolve with AI advancements
potential for new architectures |
| gptkbp:generator |
third generation
|
| gptkbp:historicalSignificance |
extensive resources available
|
| https://www.w3.org/2000/01/rdf-schema#label |
TPU Pods
|
| gptkbp:integration |
with Cloud Storage
with_Kubernetes with_BigQuery |
| gptkbp:interagencyCooperation |
high-speed networking
|
| gptkbp:offers |
pay-as-you-go pricing
|
| gptkbp:performance |
high throughput
measured in FLOPS measured in latency measured in throughput multiple pods can be connected |
| gptkbp:RAM |
high bandwidth memory
|
| gptkbp:relatedTo |
faster than GPUs
more efficient than CPUs |
| gptkbp:security |
data encryption
isolation of workloads |
| gptkbp:supports |
TensorFlow
multiple frameworks |
| gptkbp:training |
supports distributed training
supports large batch sizes supports mixed precision training |
| gptkbp:type |
hardware accelerator
|
| gptkbp:usedFor |
machine learning
|
| gptkbp:uses |
AI research
large-scale machine learning production_AI_models |