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Average Ratings 0 Ratings

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ease
features
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support

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Description

Dapple offers an Enterprise OS Cloud specifically designed for regulated enterprises and AI-driven organizations requiring robust AI infrastructure that maintains strict standards for isolation, data residency, governance, and performance. This innovative solution operates in a space between public cloud services and private data centers, merging dedicated, single-tenant GPU infrastructure with a unified control plane that oversees orchestration, compliance, connectivity, observability, and operational tasks. With features such as topology-aware placement, multi-GPU scheduling, fault-domain isolation, and reserved clusters, Dapple ensures consistent performance devoid of interference from other users. Additionally, private connectivity seamlessly integrates existing cloud environments with dedicated computing resources, while essential functions like identity management, container orchestration, threat protection, and governance policies remain effective throughout the deployment process. At an architectural level, compliance is meticulously enforced prior to workload execution, addressing in-country data residency requirements, audit obligations, and various regulatory frameworks, thereby fostering a secure environment for sensitive operations. Furthermore, Dapple empowers enterprises to innovate freely, all while adhering to strict compliance standards and safeguarding critical data assets.

Description

Kinesis serves as a comprehensive compute platform that integrates disparate infrastructures spanning clouds, on-premises systems, edge locations, and partner data centers into a cohesive grid. Users can easily deploy applications by pushing a GitHub repository, supplying a Dockerfile or container image, linking a registry, selecting a template, or outlining application requirements, after which Kinesis evaluates the workload, identifies appropriate CPU or GPU resources, and facilitates a live deployment. With its intent-driven controls, Kinesis allows teams to optimize various parameters including cost, reliability, latency, and multi-cloud functionality, all while avoiding the complexities of configuring VPCs, IAM hierarchies, and security groups. Standard containers are capable of running seamlessly across different providers without requiring any rewrites or vendor lock-in, and essential features such as networking, autoscaling, monitoring, health checks, failover mechanisms, recovery options, certificates, secrets management, and rollback capabilities are integrated into every deployment. Additionally, Kinesis continuously assesses and makes intelligent decisions regarding placement, scaling, utilization, and failure management within a diverse compute environment, ensuring efficiency and resilience in operations. This means users can focus on their applications without the burden of underlying infrastructure concerns.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

GitHub

Integrations

GitHub

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

Dapple

Founded

2025

Country

United States

Website

dapple.co

Vendor Details

Company Name

Kinesis Network

Founded

2024

Country

United States

Website

kinesis.network/

Product Features

Product Features

Alternatives

Alternatives