
NEWSROOM . ARM . COM {
}
Detected CMS Systems:
- Wordpress (159 occurrences)
Title:
Small Language Models, Big Impact: Exploring AI Inference on CPUs - Arm Newsroom
Description:
Julien Simon, Chief Evangelist at Arcee.ai, discusses explore how small language models and inference on CPUs are delivering impressive AI performance at a fraction of the cost, revolutionizing enterprise AI adoption.
Website Age:
30 years and 4 months (reg. 1995-02-07).
Matching Content Categories {π}
- Education
- Technology & Computing
- Business & Finance
Content Management System {π}
What CMS is newsroom.arm.com built with?
Newsroom.arm.com operates using WORDPRESS.
Traffic Estimate {π}
What is the average monthly size of newsroom.arm.com audience?
βοΈ Decent Traffic: 20k - 50k visitors per month
Based on our best estimate, this website will receive around 35,288 visitors per month in the current month.
check SE Ranking
check Ahrefs
check Similarweb
check Ubersuggest
check Semrush
How Does Newsroom.arm.com Make Money? {πΈ}
We see no obvious way the site makes money.
Earning money isn't the goal of every website; some are designed to offer support or promote social causes. People have different reasons for creating websites. This might be one such reason. Newsroom.arm.com might be cashing in, but we can't detect the method they're using.
Wordpress Themes and Plugins {π¨}
What WordPress theme does this site use?
What WordPress plugins does this website use?
Keywords {π}
models, arm, simon, language, small, cpus, arcee, billion, big, enterprise, powerful, efficient, share, podcast, viewpoints, listen, latest, episode, conversation, julien, implementation, deliver, performance, smaller, openai, run, expensive, gpus, theyre, technology, blogs, podcasts, impact, exploring, inference, revolutionizing, making, accessible, ambitions, summary, dive, fascinating, chief, evangelist, slms, running, gamechanger, brings, extensive, experience,
Topics {βοΈ}
arm viewpoints podcast arm neoverse processors brings extensive experience amazon web services achieved remarkable results small-scale scenarios business applications don cost-effective solutions exploring ai inference revolutionizing enterprise ai small language models larger language models enterprise ai implementation making powerful models big ambitions listen cpus arcee ai latest episode ai performance arm cpus arm related ai implementation powerful models deliver roi technology leaders models ranging sized models big impact arcee ai standard cpus efficient models smaller models accessible share chief evangelist game-changer hugging face industry obsession simon challenges conventional wisdom outperforms gpt-4 simon reveals οΏ½ simon explains require thousands simon draws interesting parallel software development dramatically improve reducing costs share subscribe fascinating conversation julien simon
Schema {πΊοΈ}
WebPage:
id:https://newsroom.arm.com/podcasts/small-language-models-cpu-inference
url:https://newsroom.arm.com/podcasts/small-language-models-cpu-inference
name:Small Language Models, Big Impact: Exploring AI Inference on CPUs - Arm Newsroom
isPartOf:
id:https://newsroom.arm.com/#website
primaryImageOfPage:
id:https://newsroom.arm.com/podcasts/small-language-models-cpu-inference#primaryimage
image:
id:https://newsroom.arm.com/podcasts/small-language-models-cpu-inference#primaryimage
thumbnailUrl:https://newsroom.arm.com/wp-content/uploads/2023/09/GettyImages-1283240410.jpg
datePublished:2025-04-23T14:47:40+00:00
dateModified:2025-04-30T13:47:12+00:00
description:Julien Simon, Chief Evangelist at Arcee.ai, discusses explore how small language models and inference on CPUs are delivering impressive AI performance at a fraction of the cost, revolutionizing enterprise AI adoption.
breadcrumb:
id:https://newsroom.arm.com/podcasts/small-language-models-cpu-inference#breadcrumb
inLanguage:en-US
potentialAction:
type:ReadAction
target:
https://newsroom.arm.com/podcasts/small-language-models-cpu-inference
ReadAction:
target:
https://newsroom.arm.com/podcasts/small-language-models-cpu-inference
ImageObject:
inLanguage:en-US
id:https://newsroom.arm.com/podcasts/small-language-models-cpu-inference#primaryimage
url:https://newsroom.arm.com/wp-content/uploads/2023/09/GettyImages-1283240410.jpg
contentUrl:https://newsroom.arm.com/wp-content/uploads/2023/09/GettyImages-1283240410.jpg
width:1600
height:900
caption:Artificial Intelligence digital concept illustrate of modern internet technology and innovative processes 3D rendering
inLanguage:en-US
id:https://newsroom.arm.com/#/schema/logo/image/
url:https://newsroom.arm.com/wp-content/uploads/2019/02/favicon.png
contentUrl:https://newsroom.arm.com/wp-content/uploads/2019/02/favicon.png
width:256
height:256
caption:Arm Limited
BreadcrumbList:
id:https://newsroom.arm.com/podcasts/small-language-models-cpu-inference#breadcrumb
itemListElement:
type:ListItem
position:1
name:Home
item:https://newsroom.arm.com/
type:ListItem
position:2
name:Podcasts
item:https://newsroom.arm.com/podcasts
type:ListItem
position:3
name:Small Language Models, Big Impact: Exploring AI Inference on CPUs
ListItem:
position:1
name:Home
item:https://newsroom.arm.com/
position:2
name:Podcasts
item:https://newsroom.arm.com/podcasts
position:3
name:Small Language Models, Big Impact: Exploring AI Inference on CPUs
WebSite:
id:https://newsroom.arm.com/#website
url:https://newsroom.arm.com/
name:Arm Newsroom
description:Sparking The World's Potential
publisher:
id:https://newsroom.arm.com/#organization
potentialAction:
type:SearchAction
target:
type:EntryPoint
urlTemplate:https://newsroom.arm.com/?s={search_term_string}
query-input:
type:PropertyValueSpecification
valueRequired:1
valueName:search_term_string
inLanguage:en-US
SearchAction:
target:
type:EntryPoint
urlTemplate:https://newsroom.arm.com/?s={search_term_string}
query-input:
type:PropertyValueSpecification
valueRequired:1
valueName:search_term_string
EntryPoint:
urlTemplate:https://newsroom.arm.com/?s={search_term_string}
PropertyValueSpecification:
valueRequired:1
valueName:search_term_string
Organization:
id:https://newsroom.arm.com/#organization
name:Arm Limited
url:https://newsroom.arm.com/
logo:
type:ImageObject
inLanguage:en-US
id:https://newsroom.arm.com/#/schema/logo/image/
url:https://newsroom.arm.com/wp-content/uploads/2019/02/favicon.png
contentUrl:https://newsroom.arm.com/wp-content/uploads/2019/02/favicon.png
width:256
height:256
caption:Arm Limited
image:
id:https://newsroom.arm.com/#/schema/logo/image/
sameAs:
https://x.com/Arm
External Links {π}(4)
- How much does https://soundcloud.com/armtechnology gross monthly?
- What's the monthly income of https://soundcloud.com/armtechnology/arm-viewpoints-small-models-big-ambitions?
- How profitable is https://podcasts.apple.com/gb/podcast/the-arm-podcast/id1528983070?
- How profitable is https://open.spotify.com/show/0gVGrKpAN8SmUKajnEY8hg?
Libraries {π}
- Boomerang
- jQuery
- jQuery module (jquery)
- jQuery module (jquery-migrate)
- LazySizes
- Video.js
- Vue.js
- WOW
CDN Services {π¦}
- Cookielaw