• About
  • Privacy Policy
  • Disclaimer
  • Contact
Soft Bliss Academy
No Result
View All Result
  • Home
  • Artificial Intelligence
  • Software Development
  • Machine Learning
  • Research & Academia
  • Startups
  • Home
  • Artificial Intelligence
  • Software Development
  • Machine Learning
  • Research & Academia
  • Startups
Soft Bliss Academy
No Result
View All Result
Home Software Development

Akamai launches new platform for AI inference at the edge

softbliss by softbliss
March 27, 2025
in Software Development
0
Akamai launches new platform for AI inference at the edge
0
SHARES
1
VIEWS
Share on FacebookShare on Twitter


Akamai has announced the launch of Akamai Cloud Inference, a new solution that provides tools for developers to build and run AI applications at the edge.

According to Akamai, bringing data workloads closer to end users with this tool can result in 3x better throughput and reduce latency up to 2.5x.

“Training an LLM is like creating a map, requiring you to gather data, analyze terrain, and plot routes,” said Adam Karon, chief operating officer and general manager of the Cloud Technology Group at Akamai. “It’s slow and resource-intensive, but once built, it’s highly useful. AI inference is like using a GPS, instantly applying that knowledge, recalculating in real time, and adapting to changes to get you where you need to go. Inference is the next frontier for AI.”

Akamai Cloud Inference offers a variety of compute types, from classic CPUs to GPUs to tailored ASIC VPUs. It offers integrations with Nvidia’s AI ecosystem, leveraging technologies such as Triton, TAO Toolkit, TensorRT, and NVFlare. 

Due to a partnership with VAST Data, the solution also provides access to real-time data so that developers can accelerate inference-related tasks. The solution also offers highly scalable object storage and integration with vector database vendors like Aiven and Milvus. 

“With this data management stack, Akamai securely stores fine-tuned model data and training artifacts to deliver low-latency AI inference at global scale,” the company wrote in its announcement. 

It also offers capabilities for containerizing AI workloads, which is important for enabling demand-based autoscaling, improved application resilience, and hybrid/multicloud portability. 

And finally, the platform also includes WebAssembly capabilities to simplify how developers build AI applications.

“While the heavy lifting of training LLMs will continue to happen in big hyperscale data centers, the actionable work of inferencing will take place at the edge where the platform Akamai has built over the past two and a half decades becomes vital for the future of AI and sets us apart from every other cloud provider in the market,” said Karon.

Tags: Akamaiedgeinferencelaunchesplatform
Previous Post

After-Sales Marketing: Key Strategies to Develop Strong Customer Loyalty

Next Post

COVID’s impact on schools–and what’s next for education

softbliss

softbliss

Related Posts

On-Demand Alcohol Delivery App Development: Complete Guide
Software Development

On-Demand Alcohol Delivery App Development: Complete Guide

by softbliss
June 6, 2025
Stuck with AI App Builders Like Replit? Get Expert Help to Finish Your App
Software Development

Stuck with AI App Builders Like Replit? Get Expert Help to Finish Your App

by softbliss
June 5, 2025
Exploring the Magic Mirror: an interactive experience powered by the Gemini models
Software Development

Exploring the Magic Mirror: an interactive experience powered by the Gemini models

by softbliss
June 5, 2025
Applications of Artificial Intelligence in Business
Software Development

Applications of Artificial Intelligence in Business

by softbliss
June 4, 2025
5 subtle indicators your development environment is under siege
Software Development

5 subtle indicators your development environment is under siege

by softbliss
June 4, 2025
Next Post
COVID’s impact on schools–and what’s next for education

COVID's impact on schools--and what’s next for education

Premium Content

Taking the “training wheels” off clean energy | MIT News

Taking the “training wheels” off clean energy | MIT News

April 8, 2025
Dynatrace Live Debugger, Mistral Agents API, and more – SD Times Daily Digest

Dynatrace Live Debugger, Mistral Agents API, and more – SD Times Daily Digest

May 30, 2025
Can “Safe AI” Companies Survive in an Unrestrained AI Landscape? • AI Blog

Can “Safe AI” Companies Survive in an Unrestrained AI Landscape? • AI Blog

April 3, 2025

Browse by Category

  • Artificial Intelligence
  • Machine Learning
  • Research & Academia
  • Software Development
  • Startups

Browse by Tags

Amazon API App Artificial Blog Build Building Business Data Development Digital Framework Future Gemini Generative Google Guide Impact Innovation Intelligence Interview Key Language Large Learning LLM LLMs Machine Microsoft MIT model Models News NVIDIA opinion OReilly Research Science Series Startup Startups students Tech Tools Video

Soft Bliss Academy

Welcome to SoftBliss Academy, your go-to source for the latest news, insights, and resources on Artificial Intelligence (AI), Software Development, Machine Learning, Startups, and Research & Academia. We are passionate about exploring the ever-evolving world of technology and providing valuable content for developers, AI enthusiasts, entrepreneurs, and anyone interested in the future of innovation.

Categories

  • Artificial Intelligence
  • Machine Learning
  • Research & Academia
  • Software Development
  • Startups

Recent Posts

  • Developing an Inquiry- and Asset-Based Approach to Grammar
  • On-Demand Alcohol Delivery App Development: Complete Guide
  • Soham Mazumdar, Co-Founder & CEO of WisdomAI – Interview Series

© 2025 https://softblissacademy.online/- All Rights Reserved

No Result
View All Result
  • Home
  • Artificial Intelligence
  • Software Development
  • Machine Learning
  • Research & Academia
  • Startups

© 2025 https://softblissacademy.online/- All Rights Reserved

Are you sure want to unlock this post?
Unlock left : 0
Are you sure want to cancel subscription?