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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

HCL Link serves as a robust no-code integration solution that streamlines the connection of various applications and diverse data across on-premises, cloud, and hybrid settings. This cloud-native, versatile data platform is tailored for enterprises handling substantial OLTP, edge processing, and analytical workloads. It facilitates the design and execution of expansive, multi-wave marketing campaigns that span all communication channels. With the ability to offer real-time, tailored customer interactions and engagement, it ensures that businesses can connect with their audience effectively. Users enjoy the flexibility to deploy the platform in a manner that suits their preferences—whether on-premises, in the cloud, via hosted solutions, or through containerized installations. Additionally, it provides tools that simplify the creation of new connectors, empowering partners and customers to customize the platform to meet their specific requirements. With a wide array of powerful and modern connectors, accessing valuable data becomes seamless. Organizations can retrieve essential information as needed—whether on demand, through scheduled intervals, or triggered by events—across on-premises, cloud, or hybrid environments. Ultimately, HCL Link enhances operational efficiency and fosters innovation in data integration strategies.

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

Screenshots View All

Screenshots View All

Integrations

Amazon Web Services (AWS)
Google Cloud Platform
Microsoft Azure
Python

Integrations

Amazon Web Services (AWS)
Google Cloud Platform
Microsoft Azure
Python

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

HCL Software

Founded

1976

Country

Italy

Website

www.hcltechsw.com/link

Vendor Details

Company Name

dstack

Founded

2022

Country

Germany

Website

dstack.ai/

Product Features

Integration

Dashboard
ETL - Extract / Transform / Load
Metadata Management
Multiple Data Sources
Web Services

Product Features

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Alternatives

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