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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
API Access
Has API
Integrations
Amazon Web Services (AWS)
Google Cloud Platform
Kubernetes
MicroK8s
Microsoft Azure
Mojo
NVIDIA DRIVE
Xilinx
Integrations
Amazon Web Services (AWS)
Google Cloud Platform
Kubernetes
MicroK8s
Microsoft Azure
Mojo
NVIDIA DRIVE
Xilinx
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
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
For Healthcare
For Sales
For eCommerce
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)
Product Features
IoT
Application Development
Big Data Analytics
Configuration Management
Connectivity Management
Data Collection
Data Management
Device Management
Performance Management
Prototyping
Visualization
