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Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Description

Locally AI is an innovative application that empowers users to utilize advanced language models directly on their iPhone, iPad, or Mac without needing cloud services or an internet connection. Leveraging Apple’s MLX framework, it provides quick and efficient performance while keeping power consumption low, thus ensuring a fluid experience for chatting, creating, learning, and discovering AI capabilities across various devices. The app supports a range of open models, including Llama, Gemma, Qwen, and DeepSeek, enabling users to easily switch between them and customize outputs for various tasks. Operating entirely offline, it eliminates the need for logins and ensures that no data is collected or transmitted, thereby guaranteeing complete privacy and control over personal information. Users can engage with AI through natural dialogue, assess documents or images, and produce text within a user-friendly interface that prioritizes simplicity and responsiveness. This design fosters greater creativity and exploration, further enhancing the overall user experience.

Description

Kluster.ai is an AI cloud platform tailored for developers, enabling quick deployment, scaling, and fine-tuning of large language models (LLMs) with remarkable efficiency. Crafted by developers with a focus on developer needs, it features Adaptive Inference, a versatile service that dynamically adjusts to varying workload demands, guaranteeing optimal processing performance and reliable turnaround times. This Adaptive Inference service includes three unique processing modes: real-time inference for tasks requiring minimal latency, asynchronous inference for budget-friendly management of tasks with flexible timing, and batch inference for the streamlined processing of large volumes of data. It accommodates an array of innovative multimodal models for various applications such as chat, vision, and coding, featuring models like Meta's Llama 4 Maverick and Scout, Qwen3-235B-A22B, DeepSeek-R1, and Gemma 3. Additionally, Kluster.ai provides an OpenAI-compatible API, simplifying the integration of these advanced models into developers' applications, and thereby enhancing their overall capabilities. This platform ultimately empowers developers to harness the full potential of AI technologies in their projects.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Gemma 4 Yes 
Llama Yes 
Qwen Yes 
Cogito Yes 
DeepSeek Yes 
DeepSeek R1 No 
DeepSeek-V3 No 
Gemma Yes 
Gemma 3 No 
Hugging Face Yes 
IBM Granite Yes 
LLM Gateway No 
Llama 4 Maverick No 
Llama 4 Scout No 
Mistral NeMo No 
OpenAI No 
Qwen2.5-VL No 
Qwen3 No 
SmolLM2 Yes 

Integrations

Gemma 4 Yes 
Llama Yes 
Qwen Yes 
Cogito No 
DeepSeek No 
DeepSeek R1 Yes 
DeepSeek-V3 Yes 
Gemma No 
Gemma 3 Yes 
Hugging Face No 
IBM Granite No 
LLM Gateway Yes 
Llama 4 Maverick Yes 
Llama 4 Scout Yes 
Mistral NeMo Yes 
OpenAI Yes 
Qwen2.5-VL Yes 
Qwen3 Yes 
SmolLM2 No 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Pricing Details

$0.15per input
Free Trial No 
Free Version Yes 

Deployment

Web-Based No 
On-Premises No 
iPhone App Yes 
iPad App Yes 
Android App No 
Windows No 
Mac Yes 
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) No 
In Person No 

Vendor Details

Company Name

Locally AI

Country

United States

Website

locallyai.app/

Vendor Details

Company Name

kluster.ai

Founded

2024

Country

United States

Website

www.kluster.ai/

Product Features

Alternatives

Alternatives