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What is kluster.ai?

Kluster.ai serves as an AI cloud platform specifically designed for developers, facilitating the rapid deployment, scalability, and fine-tuning of large language models (LLMs) with exceptional effectiveness. Developed by a team of developers who understand the intricacies of their needs, it incorporates Adaptive Inference, a flexible service that adjusts in real-time to fluctuating workload demands, ensuring optimal performance and dependable response times. This Adaptive Inference feature offers three distinct processing modes: real-time inference for scenarios that demand minimal latency, asynchronous inference for economical task management with flexible timing, and batch inference for efficiently handling extensive data sets. The platform supports a diverse range of innovative multimodal models suitable for various applications, including chat, vision, and coding, highlighting models such as Meta's Llama 4 Maverick and Scout, Qwen3-235B-A22B, DeepSeek-R1, and Gemma 3. Furthermore, Kluster.ai includes an OpenAI-compatible API, which streamlines the integration of these sophisticated models into developers' applications, thereby augmenting their overall functionality. By doing so, Kluster.ai ultimately equips developers to fully leverage the capabilities of AI technologies in their projects, fostering innovation and efficiency in a rapidly evolving tech landscape.

What is LFM2.5?

Liquid AI's LFM2.5 marks a significant evolution in on-device AI foundation models, designed to optimize efficiency and performance for AI inference across edge devices, including smartphones, laptops, vehicles, IoT systems, and various embedded hardware, all while eliminating reliance on cloud computing. This upgraded version builds on the previous LFM2 framework by significantly increasing the scale of pretraining and enhancing the stages of reinforcement learning, leading to a collection of hybrid models that feature approximately 1.2 billion parameters and successfully balance adherence to instructions, reasoning capabilities, and multimodal functions for real-world applications. The LFM2.5 lineup includes various models, such as Base (for fine-tuning and personalization), Instruct (tailored for general-purpose instruction), Japanese-optimized, Vision-Language, and Audio-Language editions, all carefully designed for swift on-device inference, even under strict memory constraints. Additionally, these models are offered as open-weight alternatives, enabling easy deployment through platforms like llama.cpp, MLX, vLLM, and ONNX, which enhances flexibility for developers. With these advancements, LFM2.5 not only solidifies its position as a powerful solution for a wide range of AI-driven tasks but also demonstrates Liquid AI's commitment to pushing the boundaries of what is possible with on-device technology. The combination of scalability and versatility ensures that developers can harness the full potential of AI in practical, everyday scenarios.

Media

Media

Integrations Supported

Gemma 3
Gemma 4
Llama
Qwen3
Amazon Bedrock
DeepSeek R1
DeepSeek-V3
ElevenLabs
Hugging Face
LEAP
LLM Gateway
Llama 3.2
Llama 4 Maverick
Llama 4 Scout
Mistral NeMo
OpenAI
Qwen
Qwen2.5-VL

Integrations Supported

Gemma 3
Gemma 4
Llama
Qwen3
Amazon Bedrock
DeepSeek R1
DeepSeek-V3
ElevenLabs
Hugging Face
LEAP
LLM Gateway
Llama 3.2
Llama 4 Maverick
Llama 4 Scout
Mistral NeMo
OpenAI
Qwen
Qwen2.5-VL

API Availability

Has API

API Availability

Has API

Pricing Information

$0.15per input
Free Version
Free Trial Offered?

Pricing Information

Free
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

kluster.ai

Date Founded

2024

Company Location

United States

Company Website

www.kluster.ai/

Company Facts

Organization Name

Liquid AI

Date Founded

2023

Company Location

United States

Company Website

www.liquid.ai/blog/introducing-lfm2-5-the-next-generation-of-on-device-ai

Categories and Features

Categories and Features

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