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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

DTS PlatinumCache C4, created by Data Transmission System Incorporation, is an advanced caching solution designed to address storage bottleneck issues effectively. This caching system incorporates various policies including Write-Back, Write-Through, Write-Only, and Pre-fetching to optimize performance. Utilizing RAMDISK as its caching medium, the system targets SD cards in Android devices for improved data management. By reading and writing data between the cache and the SD card, DTS PlatinumCache C4 significantly boosts throughput. Its architecture is tailored to meet the diverse requirements of clients, whether they are small businesses or large enterprises. The performance improvements are substantial since data transfers occur directly from RAM, leading to faster access times. Notably, the MCell-II SSD represents a pioneering advancement in the industry as the first SSD version of a hybrid memory disk, boasting impressive specifications such as 30,000 IOPS for random reads and 26,000 IOPS for ultra-fast random writes. The DTS chip plays a crucial role in managing write operations effectively, ensuring longevity and durability. Additionally, DTS PlatinumCache optimizes the chunk size for writing to the SSD, further enhancing its efficiency and performance in data handling.

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

Screenshots View All

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 
LM Studio No 
Llama No 
MiniMax No 
Mistral AI No 
Model Context Protocol (MCP) No 
OpenAI No 
OpenClaw No 
Python No 
Qwen 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 
LM Studio Yes 
Llama Yes 
MiniMax Yes 
Mistral AI Yes 
Model Context Protocol (MCP) Yes 
OpenAI Yes 
OpenClaw Yes 
Python Yes 
Qwen Yes 

Pricing Details

$6 one-time payment
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version 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 

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) Yes 
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 Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

DTS

Founded

1996

Website

www.dts-1.com

Vendor Details

Company Name

oMLX

Country

United States

Website

omlx.ai/

Product Features

Computer Security

Anti Spam Yes 
Antivirus Yes 
Audit Trail No 
Compliance Management No 
Database Security Audit No 
File Access Control Yes 
Financial Data Protection Yes 
Maintenance Scheduling No 
Real Time Monitoring No 
Security Event Log Yes 
Virus Definition Update Yes 
Vulnerability Protection Yes 

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