EdgeWorkersAkamai
|
||||||
About
Akamai's EdgeWorkers is a serverless computing platform that enables developers to deploy custom JavaScript code at the edge, optimizing user experiences by executing logic closer to end users. This approach reduces latency by eliminating high-latency calls to origin servers, enhancing performance, and improving security by moving exposed client-side logic to the edge. EdgeWorkers supports various use cases, including AB testing, geolocation-based content delivery, data protection, privacy compliance, dynamic website personalization, traffic management, and device-based personalization. Developers can write JavaScript code and deploy it via API, CLI, or GUI, leveraging Akamai's scalable architecture that automatically manages infrastructure during growth or traffic spikes. The platform integrates with Akamai's EdgeKV, a distributed key-value store, enabling data-driven applications with low-latency data access.
|
About
RunPod offers a cloud-based platform designed for running AI workloads, focusing on providing scalable, on-demand GPU resources to accelerate machine learning (ML) model training and inference. With its diverse selection of powerful GPUs like the NVIDIA A100, RTX 3090, and H100, RunPod supports a wide range of AI applications, from deep learning to data processing. The platform is designed to minimize startup time, providing near-instant access to GPU pods, and ensures scalability with autoscaling capabilities for real-time AI model deployment. RunPod also offers serverless functionality, job queuing, and real-time analytics, making it an ideal solution for businesses needing flexible, cost-effective GPU resources without the hassle of managing infrastructure.
|
|||||
Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
|
Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
|
|||||
Audience
Companies wanting a solution to enhance user experiences through personalized, low-latency content delivery and efficient traffic management
|
Audience
RunPod is designed for AI developers, data scientists, and organizations looking for a scalable, flexible, and cost-effective solution to run machine learning models, offering on-demand GPU resources with minimal setup time
|
|||||
Support
Phone Support
24/7 Live Support
Online
|
Support
Phone Support
24/7 Live Support
Online
|
|||||
API
Offers API
|
API
Offers API
|
|||||
Screenshots and Videos |
Screenshots and Videos |
|||||
Pricing
No information available.
Free Version
Free Trial
|
Pricing
$0.40 per hour
Free Version
Free Trial
|
|||||
Reviews/
|
Reviews/
|
|||||
Training
Documentation
Webinars
Live Online
In Person
|
Training
Documentation
Webinars
Live Online
In Person
|
|||||
Company InformationAkamai
Founded: 1998
United States
www.akamai.com/products/serverless-computing-edgeworkers
|
Company InformationRunPod
Founded: 2022
United States
www.runpod.io
|
|||||
Alternatives |
Alternatives |
|||||
|
|
|
|||||
|
|
||||||
|
|
|
|||||
|
|
|
|||||
Categories |
Categories |
|||||
Integrations
Amazon Web Services (AWS)
Codestral
DeepSeek Coder
DeepSeek R1
Docker
Dropbox
EXAONE
Google Cloud Platform
JavaScript
Llama 3
|
Integrations
Amazon Web Services (AWS)
Codestral
DeepSeek Coder
DeepSeek R1
Docker
Dropbox
EXAONE
Google Cloud Platform
JavaScript
Llama 3
|
|||||
|
|