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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
No
API Access
Has API
Yes
Screenshots View All
No images available
Integrations
Anthropic
No
Claude Code
No
Cursor
No
DeepSeek
No
GLM-4.1V
No
Gemma
No
Gemma
No
GitHub
No
Hugging Face
No
JSON
No
Integrations
Anthropic
Yes
Claude Code
Yes
Cursor
Yes
DeepSeek
Yes
GLM-4.1V
Yes
Gemma
Yes
Gemma
Yes
GitHub
Yes
Hugging Face
Yes
JSON
Yes
Pricing Details
$4,900 - One time payment
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
No
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
Yes
Chromebook
No
Deployment
Web-Based
No
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
Yes
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
Lucebox
Founded
2026
Country
United States
Website
www.lucebox.com
Vendor Details
Company Name
oMLX
Country
United States
Website
omlx.ai/
