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ease
features
design
support

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Description

Aikido Altar represents a cutting-edge open-weight security framework designed to empower organizations with advanced defensive security intelligence tailored for their infrastructures. This model is particularly suited for environments requiring sovereign security where sensitive assets like source code, architectural documents, vulnerability assessments, and other confidential information must remain within the organization's confines and not be shared with external inference services. Built on the GLM-5.3 architecture, Altar employs techniques such as quantization and expert pruning to compress the model size from an extensive 1.51 TB in full precision down to a more manageable 328 GB, all while maintaining the majority of the original model's reasoning and security features. The model retains 168 out of the original 256 routed experts in each backbone expert layer and adopts a W4A16 representation, enhancing its practicality for security tasks that require handling extensive and evolving context windows. The calibration of expert selection was conducted using internal pentesting data and multilingual sources, ensuring that no client information was utilized, which upholds the integrity of cybersecurity, programming, and linguistic capabilities. This innovative approach not only streamlines deployment but also fortifies the organization's security posture against emerging threats.

Description

DeepSeek-V2 is a cutting-edge Mixture-of-Experts (MoE) language model developed by DeepSeek-AI, noted for its cost-effective training and high-efficiency inference features. It boasts an impressive total of 236 billion parameters, with only 21 billion active for each token, and is capable of handling a context length of up to 128K tokens. The model utilizes advanced architectures such as Multi-head Latent Attention (MLA) to optimize inference by minimizing the Key-Value (KV) cache and DeepSeekMoE to enable economical training through sparse computations. Compared to its predecessor, DeepSeek 67B, this model shows remarkable improvements, achieving a 42.5% reduction in training expenses, a 93.3% decrease in KV cache size, and a 5.76-fold increase in generation throughput. Trained on an extensive corpus of 8.1 trillion tokens, DeepSeek-V2 demonstrates exceptional capabilities in language comprehension, programming, and reasoning tasks, positioning it as one of the leading open-source models available today. Its innovative approach not only elevates its performance but also sets new benchmarks within the field of artificial intelligence.

API Access

Has API Yes 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

SiliconFlow No 

Integrations

SiliconFlow Yes 

Pricing Details

$350 per month
Free Trial No 
Free Version Yes 

Pricing Details

Free
Open source
Free Trial No 
Free Version Yes 

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 Yes 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
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 No 

Types of Training

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

Types of Training

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

Vendor Details

Company Name

Aikido Security

Founded

2022

Country

Belgium

Website

www.aikido.dev/blog/aikido-altar-open-weight-ai-sovereign-security

Vendor Details

Company Name

DeepSeek

Founded

2023

Country

China

Website

deepseek.com

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