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Description
DeepInfer serves as an open-source framework designed for executing DeepSeek language models on Linux platforms that utilize compatible NVIDIA or Huawei Ascend accelerators. It encompasses a variety of features aimed at facilitating offline inference and efficient model execution, including optimized kernels, distributed parallelism, asynchronous batch scheduling, speculative decoding, and the generation of structured outputs in formats like JSON Schema, regular expressions, and EBNF. The project documentation covers support for DeepSeek-V4.1-Flash along with comprehensive guidance on building, configuring, and utilizing examples and evaluation tools. Aimed at developers and infrastructure teams, it assists in constructing or assessing self-managed inference deployments. Additionally, the repository highlights that for production services, there may be a need for supplementary components such as KV-cache, prefill/decode disaggregation, and load-balancing mechanisms that are not part of this particular release, ensuring users are aware of potential additional requirements as they implement the framework. Overall, DeepInfer is designed to optimize the deployment of language models in various contexts, addressing both fundamental and advanced operational needs.
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.
API Access
Has API
Yes
API Access
Has API
No
Screenshots View All
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Integrations
No details available.
Integrations
No details available.
Pricing Details
No price information available.
Free Trial
No
Free Version
Yes
Pricing Details
$4,900 - One time payment
Free Trial
No
Free Version
No
Deployment
Web-Based
No
On-Premises
Yes
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
No
Linux
Yes
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
No
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
DeepSeek
Founded
2023
Country
China
Website
github.com/deepseek-ai/DeepInfer
Vendor Details
Company Name
Lucebox
Founded
2026
Country
United States
Website
www.lucebox.com