Statements (113)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:tachymetric_scale
gptkb:computer |
| gptkbp:aims_to |
increase efficiency
reduce latency |
| gptkbp:application |
deep learning
|
| gptkbp:architecture |
massively parallel
|
| gptkbp:can_be_used_to |
monitor progress
set fitness goals |
| gptkbp:can_store_data_for |
multiple users
|
| gptkbp:charging_method |
gptkb:USB
batteries |
| gptkbp:competes_with |
gptkb:NVIDIA_GPUs
|
| gptkbp:connects |
fitness trackers
smartwatches |
| gptkbp:designed_by |
gptkb:Cerebras_Systems
|
| gptkbp:developed_by |
high-performance computing
|
| gptkbp:enables |
large model training
|
| gptkbp:features |
high bandwidth memory
|
| gptkbp:form_factor |
single chip
|
| gptkbp:has |
integrated software stack
|
| gptkbp:has_function |
measures weight
syncs with mobile apps tracks body composition |
| gptkbp:has_impact_on |
gptkb:machine_learning
gptkb:AI_technology data analysis |
| https://www.w3.org/2000/01/rdf-schema#label |
tachymetric scale
|
| gptkbp:is_available_in |
gptkb:cloud_services
various brands different price ranges |
| gptkbp:is_available_on |
gptkb:online_retailers
physical stores |
| gptkbp:is_compared_to |
traditional GPUs
|
| gptkbp:is_compatible_with |
Android devices
various AI frameworks i OS devices |
| gptkbp:is_considered |
a smart home device
a health gadget |
| gptkbp:is_considered_as |
a breakthrough in AI hardware
|
| gptkbp:is_considered_by |
tech enthusiasts
health professionals |
| gptkbp:is_designed_for |
personal use
family use |
| gptkbp:is_discussed_in |
technology conferences
|
| gptkbp:is_evaluated_by |
benchmark tests
|
| gptkbp:is_featured_in |
tech publications
|
| gptkbp:is_influenced_by |
advancements in semiconductor technology
|
| gptkbp:is_integrated_with |
health apps
wellness platforms |
| gptkbp:is_notable_for |
its architecture
its size its performance |
| gptkbp:is_often_featured_in |
fitness magazines
health blogs |
| gptkbp:is_often_gifted |
a wellness gift
a fitness gift |
| gptkbp:is_often_used_in |
diet plans
exercise programs |
| gptkbp:is_optimized_for |
AI workloads
|
| gptkbp:is_part_of |
gptkb:smart_home_devices
AI hardware revolution Cerebras Systems product line Cerebras Systems' strategy personal health management system |
| gptkbp:is_popular_in |
home fitness market
health monitoring market |
| gptkbp:is_promoted_through |
partnerships
|
| gptkbp:is_recognized_by |
industry experts
|
| gptkbp:is_subject_to |
user reviews
product comparisons research and development efforts |
| gptkbp:is_supported_by |
gptkb:investors
Cerebras software tools |
| gptkbp:is_targeted_at |
data scientists
enterprise customers AI researchers |
| gptkbp:is_used_by |
health-conscious individuals
fitness enthusiasts |
| gptkbp:is_used_in |
data centers
research institutions |
| gptkbp:is_utilized_by |
leading tech companies
startups in AI |
| gptkbp:manufacturer |
gptkb:TSMC
|
| gptkbp:market |
AI hardware market
|
| gptkbp:marketed_as |
a fitness tool
the largest chip ever made a health tool |
| gptkbp:monitors |
BMI
trends over time weight history |
| gptkbp:performance |
high throughput
|
| gptkbp:power_consumption |
high power efficiency
|
| gptkbp:provides |
scalable performance
|
| gptkbp:provides_information_on |
muscle mass
body fat percentage bone mass water percentage |
| gptkbp:ram |
large on-chip memory
|
| gptkbp:released_in |
gptkb:2019
|
| gptkbp:size |
Wafer-sized
|
| gptkbp:successor |
gptkb:Wafer_Scale_Engine_2
|
| gptkbp:supports |
gptkb:Tensor_Flow
gptkb:Py_Torch |
| gptkbp:technology |
AI processing
|
| gptkbp:transistor_count |
1.2 trillion
|
| gptkbp:uses |
gptkb:neural_networks
custom silicon |
| gptkbp:uses_technology |
gptkb:Wi-Fi
gptkb:Bluetooth |
| gptkbp:bfsParent |
gptkb:Polygon
gptkb:Atlas gptkb:CSS_Transforms_Level_3 |
| gptkbp:bfsLayer |
4
|