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What is Liquid Apollo?

Liquid Apollo is an innovative mobile app that enables AI interactions entirely on-device, independent of cloud services, which allows users to engage with advanced language and vision models in a secure and private way with minimal latency. This application boasts a diverse array of compact foundation models drawn from the company's LEAP platform, empowering users to draft messages, send emails, interact with a personal AI assistant, create digital characters, and leverage image-to-text capabilities, all while functioning offline and ensuring that no data leaves the device. With a strong emphasis on instant responsiveness and offline operation, Apollo ensures that all processing occurs locally, removing the necessity for API calls, external servers, or the recording of user information. Serving as both a personal AI exploration tool and a development platform for those working with LEAP models, Apollo allows users to thoroughly evaluate a model's efficiency on their individual mobile devices before considering broader deployment. Furthermore, the application's design promotes user control and privacy, creating a smooth experience devoid of external disruptions and safeguarding personal data at every level. By prioritizing these aspects, Apollo not only enhances user trust but also encourages a more engaging interaction with AI technology.

What is HPE Apollo?

The exascale era marks a significant shift in exploration, driven by the rapid expansion of data, integrated workloads, and continuous digital transformation, necessitating advanced capabilities for analysis and processing. To effectively handle a wide range of processor technologies and data-intensive operations, it is crucial to develop new infrastructures that seamlessly merge analytics, artificial intelligence, and high-performance computing (HPC), which can ultimately unlock the complete potential of data and stimulate innovation. Utilizing HPE Apollo systems empowers you to address your most demanding challenges while providing budget-friendly access to supercomputing capabilities. These systems are meticulously designed for optimal rack-scale efficiency, ensuring a perfect blend of performance and adaptability, particularly tailored for both HPC and AI applications. As you progress along your growth path, HPE Apollo solutions facilitate smooth adjustments to varying workloads. Notably, the HPE Apollo 2000 Gen10 Plus system distinguishes itself with its compact design, accommodating as many as four hot-plug servers within a 2U chassis, offering the flexibility to tailor the system to specific HPC requirements while also ensuring future scalability. This strategic approach enables organizations to maintain a competitive edge in the fast-paced evolution of technology and data, ultimately fostering a more innovative environment. Furthermore, embracing such technologies can lead to improved operational efficiency and enhanced decision-making capabilities.

Media

Media

Integrations Supported

CapametriX
Liquid AI
OpenRouter
Qualcomm Cloud AI SDK

Integrations Supported

CapametriX
Liquid AI
OpenRouter
Qualcomm Cloud AI SDK

API Availability

Has API

API Availability

Has API

Pricing Information

Free
Free Version
Free Trial Offered?

Pricing Information

Pricing not provided
Free Version
Free Trial Offered?

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Liquid AI

Date Founded

2023

Company Location

United States

Company Website

www.liquid.ai/apollo

Company Facts

Organization Name

HPE

Company Location

United States

Company Website

www.hpe.com/us/en/compute/hpc/apollo-systems.html

Categories and Features

Categories and Features

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