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Description
IPFS Cluster enhances data management across a collection of IPFS daemons by managing the allocation, replication, and monitoring of a comprehensive pinset that spans multiple peers. While IPFS empowers users with content-addressed storage capabilities, the concept of a permanent web necessitates a solution for data redundancy and availability that preserves the decentralized essence of the IPFS Network. Serving as a complementary application to IPFS peers, IPFS Cluster maintains a unified cluster pinset and intelligently assigns its components to various IPFS peers. The peers in the Cluster create a distributed network that keeps an organized, replicated, and conflict-free inventory of pins. Users can directly ingest IPFS content to multiple daemons simultaneously, enhancing efficiency. Additionally, each peer in the Cluster offers an IPFS proxy API that executes cluster functions while mimicking the behavior of the IPFS daemon's API seamlessly. Written in Go, the Cluster peers can be launched and managed programmatically, making it easier to integrate into existing workflows. This capability empowers developers to leverage the full potential of decentralized storage solutions effectively.
Description
SWARM Engineering offers an AI-powered Software as a Service (SaaS) platform aimed at assisting organizations in overcoming intricate operational obstacles, including challenges related to supply chain disruptions, workforce management, and production logistics, by employing a unique approach known as “Challenge Engineering” in conjunction with Agentic AI. The process starts when a user in the business environment outlines a specific operational issue through the Challenge Modeler; subsequently, SWARM leverages its Solution Engine, a comprehensive repository of multi-agent systems, optimization techniques, and machine-learning frameworks, to gather data from various sources such as ERPs, spreadsheets, or IoT devices, conduct simulations, and implement a customized solution via the Ops Dashboard. Designed for large-scale enterprise deployment on Microsoft Azure, the platform features a no-code configuration that enables business users to engage without requiring data science expertise, and it boasts impressive outcomes, including the potential for planning cycles to be shortened by as much as 400% and an attractive return on investment ranging from 3 to 10 times in sectors like agriculture, food production, manufacturing, and distribution. Furthermore, this innovative platform ensures that organizations can navigate their operational challenges with greater efficiency and agility, significantly enhancing overall performance.
API Access
Has API
Yes
API Access
Has API
Yes
Integrations
Docker
Yes
Ethereum
Yes
Filecoin
Yes
IPFS
Yes
Microsoft Azure
No
Netdata
Yes
Integrations
Docker
No
Ethereum
No
Filecoin
No
IPFS
No
Microsoft Azure
Yes
Netdata
No
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
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
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)
No
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
No
Live Training (Online)
Yes
In Person
No
Vendor Details
Company Name
IPFS Cluster
Website
cluster.ipfs.io
Vendor Details
Company Name
SWARM
Founded
2016
Country
United States
Website
swarm.engineering/
Product Features
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
