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Description
Modular is an advanced AI infrastructure platform that unifies the entire inference stack, from hardware-level optimization to cloud deployment. It allows developers to run AI models seamlessly across multiple hardware types, including NVIDIA, AMD, and other architectures. The platform eliminates the need for fragmented tools by providing a single system for serving, optimization, and scaling. Modular delivers high-performance inference with improved efficiency and reduced costs through better hardware utilization. It supports flexible deployment options, including managed cloud services, private VPC environments, and self-hosted setups. Developers can deploy both open-source and custom models with ease while maintaining full control over performance. The platform’s compiler technology automatically optimizes workloads for different hardware targets. Modular also enables real-time scaling and efficient resource allocation for demanding AI applications. Its unified approach simplifies infrastructure management while improving reliability and performance. Overall, Modular empowers teams to build, deploy, and scale AI systems more effectively.
Description
ZEDEDA offers a straightforward and scalable cloud-based orchestration platform that enhances visibility, control, and security for distributed edge environments, allowing users to deploy and manage any application on any hardware seamlessly while connecting to various cloud or on-premises systems. By utilizing ZEDEDA, customers can effortlessly deploy and oversee any edge compute node, enabling them to extract the value from IoT data and make timely decisions. With the flexibility to run any application on any hardware without vendor lock-in, users can operate both legacy and cloud-native applications concurrently. The platform also facilitates bulk deployment of applications with just one click, significantly simplifying the management process. Additionally, ZEDEDA ensures robust security measures by eliminating hardware spoofing, identifying software stack anomalies, and maintaining device integrity. Users can monitor and control data flow across applications and nodes, making it easy to spot any suspicious activities. Furthermore, the platform supports compliance with regulatory requirements and helps mitigate risks associated with data breaches and leaks. Ultimately, ZEDEDA automates the deployment and management of applications and system software directly from the cloud, streamlining the entire edge computing experience. This comprehensive solution empowers organizations to fully leverage their edge infrastructure while maintaining the highest standards of security and compliance.
API Access
Has API
No
API Access
Has API
Yes
Integrations
Amazon Web Services (AWS)
No
Google Cloud Platform
No
Kubernetes
No
MicroK8s
No
Microsoft Azure
No
Mojo
Yes
NVIDIA DRIVE
No
Xilinx
No
Integrations
Amazon Web Services (AWS)
Yes
Google Cloud Platform
Yes
Kubernetes
Yes
MicroK8s
Yes
Microsoft Azure
Yes
Mojo
No
NVIDIA DRIVE
Yes
Xilinx
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
Yes
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
Yes
iPhone App
Yes
iPad App
Yes
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
Yes
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
Yes
Vendor Details
Company Name
Modular
Founded
2022
Country
United States
Website
www.modular.com
Vendor Details
Company Name
ZEDEDA
Founded
2016
Country
United States
Website
zededa.com/product/
Product Features
Artificial Intelligence
Chatbot
No
For Healthcare
No
For Sales
No
For eCommerce
No
Image Recognition
No
Machine Learning
No
Multi-Language
No
Natural Language Processing
No
Predictive Analytics
No
Process/Workflow Automation
No
Rules-Based Automation
No
Virtual Personal Assistant (VPA)
No
Product Features
IoT
Application Development
No
Big Data Analytics
No
Configuration Management
No
Connectivity Management
No
Data Collection
No
Data Management
No
Device Management
No
Performance Management
No
Prototyping
No
Visualization
No
