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Average Ratings 0 Ratings
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.
Description
dstack simplifies GPU infrastructure management for machine learning teams by offering a single orchestration layer across multiple environments. Its declarative, container-native interface allows teams to manage clusters, development environments, and distributed tasks without deep DevOps expertise. The platform integrates natively with leading GPU cloud providers to provision and manage VM clusters while also supporting on-prem clusters through Kubernetes or SSH fleets. Developers can connect their desktop IDEs to powerful GPUs, enabling faster experimentation, debugging, and iteration. dstack ensures that scaling from single-instance workloads to multi-node distributed training is seamless, with efficient scheduling to maximize GPU utilization. For deployment, it supports secure, auto-scaling endpoints using custom code and Docker images, making model serving simple and flexible. Customers like Electronic Arts, Mobius Labs, and Argilla praise dstack for accelerating research while lowering costs and reducing infrastructure overhead. Whether for rapid prototyping or production workloads, dstack provides a unified, cost-efficient solution for AI development and deployment.
API Access
Has API
API Access
Has API
Integrations
Amazon Web Services (AWS)
Google Cloud Platform
Microsoft Azure
Kubernetes
MicroK8s
NVIDIA DRIVE
Python
Xilinx
Integrations
Amazon Web Services (AWS)
Google Cloud Platform
Microsoft Azure
Kubernetes
MicroK8s
NVIDIA DRIVE
Python
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
ZEDEDA
Founded
2016
Country
United States
Website
zededa.com/product/
Vendor Details
Company Name
dstack
Founded
2022
Country
Germany
Website
dstack.ai/
Product Features
IoT
Application Development
Big Data Analytics
Configuration Management
Connectivity Management
Data Collection
Data Management
Device Management
Performance Management
Prototyping
Visualization