Armur is a Large Language model (LLM) platform that provides developer security tooling. It provides tooling for:
- Code scans.
- Smart contract audits.
- AI pentests.
- LLM security.
The platform offers code-scanning tools that help developers scan programming languages like GO, Rust, Python, and JavaScript. These tools are also available as Vscode extensions. The platform's proprietary LLM scans each line of code during a smart contract audit. Furthermore, it provides test cases where developers can test the smart contract and get written documentation.
Skynet is a decentralized protocol that offers cost-effective graphics processing units (GPU) and compute resources to Armur via its subnets. One of the unique selling points is providing access to GPU computing for different computational needs, including model training for AI tools like Armur.
Armour leverages Skynet's decentralized GPU subnet infrastructure to accelerate the process and efficiency of its LLM tools. Overall, Skynet helps empower Armur to deliver cutting-edge developer security tools to end users and developers.
Using the decentralized GPU subnet infrastructure provided by Skynet, Armur leverages it to optimize its training process for code scans, AI pentests, smart contract audits, LLM security, etc. Skynet serves as a powerhouse for Armur, providing scalability, speed, and reliable computational periods essential for training complex AI models.
At the core, Armur utilizes Skynet distributed computing infrastructure at the DePIN layer, which is the abstraction layer of Skynet that consolidates resources from enterprises, data centers, storage cluster operators, miners, and other sources. Leveraging on Skynets protocol, Armur gets to mitigate the risks of bottlenecks or resource shortages primarily associated with centralized infrastructure.
In addition, Skynet's GPU infrastructure allows Armur to accelerate model training by correlating intensive computations across multiple computing resources simultaneously. This parallel feature significantly reduces the period required to train Armur's AI models, allowing them to automate the auditing process for smart contract tooling.
In addition, Armur, by training its models on Skynet, eliminates the risk of single points of failure and enhances the robustness of its infrastructure and models against unforeseen disruptions.
Armur training their models using Skynet's computing resource allows them to represent a paradigm shift in code scans, smart contract auditing, and AI pen testing. By harnessing this computing resource, Armur empowers developers to increase the security of their smart contracts in a shorter period, scan their codes, conduct pen-testing, and other actions that pave the way for a more robust and resilient developer ecosystem.
There are different advantages or benefits Armur gets from using Skynet's GPU computing resources for the accelerated training of their AI models. They are:
- Speed: Given that Skynet can handle different computational tasks simultaneously due to its decentralized design, this parallelized approach allows Armur to significantly reduce the time it takes to train their models.
- Scalability: Different bottlenecks are associated with training models using traditional GPUs. Companies need help getting access to necessary GPU resources for their expanding needs. Here, Armur enjoys scalability because Skynet repurposes existing underutilized compute resources in a decentralized manner. This allows Armur to access GPU computing according to their increasing need easily.
- Cost-Effectiveness: Decentralized GPUs saves costs over time because it eliminates the need for expensive hardware on the part of Armur, which helps reduce cost. Since it's seamless and allows the deployment of AI models for training within minutes, Skynet helps Armur increase the effectiveness of its developer-based security tooling.
- Choice: Skynets GPU subnet provides access to a full range of GPU hardware via other DePIN protocols that are integrated with it. This means Armur can choose the right hardware for the right tasks and at the most efficient price point.
There are additional benefits that Armur enjoys when building on or training their AI models on Skynet. They are:
- Lack of a single point of failure due to Skynet's fault-tolerant design.
- Continuous availability of GPU resources for Armur's AI model training.
- Depending on required GPU resources demand. Increased computing demand for Armur's AI model training doesn't cause issues because of additional GPU compute resources in the Skynet network.
- From design, Skynet provides security through subnets for Armur. This way, there is a reduced risk of data breaches and the integrity of sensitive training data.
Skynet provides the computing needed for Armur to train its models. Using Skynet and its benefits, Armur delivers robust developer security tooling to its developers that helps them improve the quality and security of their work.
Skynet empowers companies like Armur to provide cutting-edge technology solutions across several sectors.