Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Alternatives to Consider

  • Runpod Reviews & Ratings
    230 Ratings
    Company Website
  • Gemini Enterprise Agent Platform Reviews & Ratings
    999 Ratings
    Company Website
  • Google AI Studio Reviews & Ratings
    30 Ratings
    Company Website
  • KrakenD Reviews & Ratings
    71 Ratings
    Company Website
  • LM-Kit.NET Reviews & Ratings
    29 Ratings
    Company Website
  • Convesio Reviews & Ratings
    63 Ratings
    Company Website
  • TurboTenant Reviews & Ratings
    836 Ratings
    Company Website
  • ONLYOFFICE Docs Reviews & Ratings
    715 Ratings
    Company Website
  • Admin By Request Endpoint Privilege Management Reviews & Ratings
    99 Ratings
    Company Website
  • TelemetryOS Reviews & Ratings
    280 Ratings
    Company Website

What is oMLX?

oMLX is a dedicated MLX server optimized for macOS, which significantly boosts the speed and efficiency of local AI tasks on Apple Silicon hardware. It specifically addresses the needs of coding agents by employing paged SSD KV caching, allowing cache blocks to be retained on disk; thus, previously accessed prefixes can be swiftly retrieved across various requests and even after server restarts, negating the need for recalculation from the ground up. Consequently, the duration required to produce the first token in extensive contexts can drop dramatically, from a span of 30 to 90 seconds down to under five seconds following the initial interaction. The server skillfully handles multiple requests simultaneously through a constant batching approach using mlx-lm’s BatchGenerator, which improves overall generation throughput by preventing requests from queuing behind a single task. oMLX can serve a diverse array of models concurrently, including LLMs, vision-language models, embedding models, and rerankers, while efficiently managing memory limitations through LRU eviction. Additionally, it supports any MLX-format model available from Hugging Face, including Qwen, LLaMA, Mistral, Gemma, DeepSeek, MiniMax, and GLM, and has the capability to work with models stored in the regular Hugging Face cache, directories linked to LM Studio, or any custom storage solutions, thus providing a seamless experience for users. This adaptability in model integration not only enhances the functionality of oMLX but also significantly benefits developers and researchers, making it a practical tool in various AI applications. Overall, oMLX stands out as a robust solution for maximizing the potential of AI on macOS systems.

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.

Media

Media

Integrations Supported

Llama
OpenAI
Qwen
Anthropic
Claude Code
DeepSeek
DeepSeek R1
GLM-4.1V
Gemma
Gemma 3
Gemma 4
GitHub
Hugging Face
JSON
Llama 4 Maverick
MiniMax
Mistral AI
Mistral NeMo
Model Context Protocol (MCP)
Qwen2.5-VL

Integrations Supported

Llama
OpenAI
Qwen
Anthropic
Claude Code
DeepSeek
DeepSeek R1
GLM-4.1V
Gemma
Gemma 3
Gemma 4
GitHub
Hugging Face
JSON
Llama 4 Maverick
MiniMax
Mistral AI
Mistral NeMo
Model Context Protocol (MCP)
Qwen2.5-VL

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided
Free Version
Free Trial Offered?

Pricing Information

$0.15per input
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

oMLX

Company Location

United States

Company Website

omlx.ai/

Company Facts

Organization Name

kluster.ai

Date Founded

2024

Company Location

United States

Company Website

www.kluster.ai/

Categories and Features

Categories and Features

Popular Alternatives

Photon Reviews & Ratings

Photon

Moondream

Popular Alternatives

Run BiOS Reviews & Ratings

Run BiOS

UltraSafe AI Inc.
BaseRT Reviews & Ratings

BaseRT

Base Compute
Macyou Reviews & Ratings

Macyou

Macyou LLC