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Description
Lucebox is a ready-to-use computer specifically designed for executing local AI models and agents at peak performance. Within its specially designed casing, it houses a Ryzen AI MAX+ 395 processor combined with 128GB of unified LPDDR5X memory and an RTX 3090 graphics card, both working in harmony through an open-source inference engine meticulously optimized for this configuration.
The design of the architecture is key to its exceptional speed. The 128GB of unified memory allows large models to reside effectively, while the high-bandwidth VRAM of the 3090 serves as a rapid access tier. Techniques like speculative decoding (DFlash) and speculative prefill (PFlash) link these two memory systems, achieving inference speeds that can be up to 10 times faster than llama.cpp running on the same hardware, outperforming systems such as the Mac Studio and DGX Spark while being significantly more cost-effective. Moreover, this combination of hardware and software optimizations positions Lucebox as a formidable player in the local AI computing landscape.
Description
oMLX is an MLX server specifically designed for macOS, enhancing the efficiency and speed of local AI operations on Apple Silicon. It caters to the functional dynamics of coding agents by implementing paged SSD KV caching, which enables the persistence of cache blocks on disk; this means that previously accessed prefixes can be retrieved quickly across different requests and even after server restarts, thereby eliminating the need to recompute them from scratch. As a result, the time taken to generate the first token in lengthy contexts can be significantly reduced, dropping from a range of 30 to 90 seconds down to less than five seconds after the initial interaction. The server adeptly manages simultaneous requests through a continuous batching mechanism via mlx-lm’s BatchGenerator, which enhances overall generation throughput without requiring requests to queue up behind a single task. oMLX is capable of simultaneously serving a variety of models, including LLMs, vision-language models, embedding models, and rerankers, utilizing LRU eviction to manage memory constraints effectively. Furthermore, it is compatible with any MLX-format model sourced from Hugging Face, such as Qwen, LLaMA, Mistral, Gemma, DeepSeek, MiniMax, and GLM, and can also utilize models that are already present in the standard Hugging Face cache, directories associated with LM Studio, or any custom storage locations, ensuring a versatile user experience. This flexibility in model integration enhances the overall usability and practicality of oMLX for developers and researchers alike.
API Access
Has API
API Access
Has API
Screenshots View All
No images available
Integrations
Anthropic
Claude Code
Cursor
DeepSeek
GLM-4.1V
Gemma
Gemma
GitHub
Hugging Face
JSON
Integrations
Anthropic
Claude Code
Cursor
DeepSeek
GLM-4.1V
Gemma
Gemma
GitHub
Hugging Face
JSON
Pricing Details
$4,900 - One time payment
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
Lucebox
Founded
2026
Country
United States
Website
www.lucebox.com
Vendor Details
Company Name
oMLX
Country
United States
Website
omlx.ai/
