Your Code is Making You Lose Money and Increasing CO2 Emissions
In today’s digital landscape, efficiency is more than a luxury—it’s a necessity. Businesses worldwide are striving to streamline operations and reduce costs, yet they often overlook the importance of optimising their code. Inefficient code can be a silent drain on resources, leading to increased compute costs, sluggish runtime, and even a higher carbon footprint.
In 2020 alone, the estimated Cost of Poor Software Quality (CPSQ) in the United States was a whopping $2.08 trillion. This staggering figure includes expenditures on rework, lost productivity, and customer dissatisfaction resulting from subpar code.
These numbers underscore the need for energy-efficient coding, especially as we enter an era of Generative AI. For example, integrating Language Learning Models (LLMs) into search engines could lead to a five-fold increase in computing power and consequently, higher carbon emissions.
In this context, making code more efficient is not just about improving performance or reducing costs; it’s also an environmental imperative.
So, what if you had a cutting-edge code performance assistant at your fingertips, ready to automatically pinpoint slow code and suggest minimum changes for optimal performance?
We are excited to introduce Artemis AI, your code optimiser for peak performance and sustainability. Artemis AI helps developers identify inefficient code across entire codebases and recommend optimal changes for improved performance. It leverages LLMs and proprietary ML-based optimisation techniques to optimise code for faster running speed, reduced compute costs and lower carbon emission.
The name Artemis, inspired by the Greek goddess of hunting, symbolises precision, speed, and mastery. Known for her unerring aim and relentless pursuit of excellence, Artemis embodies the core principles of our automatic code optimisation platform.
In this blog post, we will explore how Artemis AI can simplify the process of performance optimisation for developers, delve into features powered by AI and LLMs, and introduce key use cases across different industry sectors.
Unlock Peak Performance Without Compromising Privacy
In one experiment when we used Artemis AI to optimise Whisper.cpp—a robust automatic speech recognition (ASR) system trained on 680,000 hours of multilingual and multitask supervised data—the outcomes were significant. We achieved a 15.28% improvement in runtime speed and a 3% reduction in memory usage. These enhancements translate to saving 360 hours of developer time per year, cutting £100 in computing costs per server, and reducing carbon emissions by 15%.
Artemis AI Optimisation Results on Whisper.cpp
At TurinTech AI, we democratise performance optimisation to enable companies of all sizes to build high-performance applications for today and tomorrow. That’s why we’ve created Artemis AI, to empower developers.
Maximise Performance without the Complexity
In a rapidly changing field, staying abreast of all optimisation methods and hardware updates can be daunting. With Artemis AI, you can effortlessly optimise code for your specific use case and hardware, without a steep learning curve.
Ship Your Code to Production Faster
Artemis AI is language-agnostic and integrates easily with your favourite IDEs. Artemis automates the iterative and tedious code optimisation process, freeing developers to focus on new features and getting products to market faster.
Secure Your Data and Code Integrity
When deployed on-premise, Artemis AI trains a private LLM for optimisation directly on your codebase without transmitting any data off-site. This ensures that your data and code remain local and never pass through third parties like OpenAI. With Artemis, you can confidently optimise your code while maintaining the privacy and security integral to your operations.
How Artemis AI Works
Artemis AI offers a comprehensive solution for code optimisation by integrating automated code analysis, LLMs for code, and real-time performance evaluations, thereby ensuring significant gains in code efficiency.
Automatic Code Analysis
Artemis AI performs a thorough automated scan of your entire codebase, focusing on custom performance metrics such as runtime, CPU usage, and memory usage. It provides an in-depth report pinpointing inefficiencies and explaining their impact on overall performance. This approach allows developers to gain a nuanced understanding of their codebases through interactive visualisations.
GenAI-Powered Code Optimisation
Leveraging our proprietary ArtemisLLM—specifically trained to enhance code performance—Artemis AI offers an additional layer of flexibility by allowing developers to choose from a selection of top-tier LLMs, such as OpenAI’s GPT-4, Anthropic’s Claude 2, Meta’s Code Llama, and more. The platform generates code improvement candidates using algorithms inspired by natural selection. Artemis AI then tests and refines these candidates based on user-specific criteria, ultimately suggesting the optimal code versions tailored to your needs.
Code Performance Evaluation
Artemis AI streamlines the process of comparing performance trade-offs across different code versions, presenting all the options on a single user-friendly interface. As you make changes, the platform provides real-time performance assessments that cover key metrics like runtime, memory, and CPU usage. Using a genetic algorithm, Artemis AI identifies the most impactful yet least complex changes, reducing the potential for issues and simplifying code reviews for developers. This enables users to easily discern the impact of various modifications, thereby making the code optimisation process both transparent and efficient.
As we discussed in our previous blog, manual performance optimisation is a complex and costly process, fraught with challenges such as the scarcity and high cost of skilled engineers, the time-consuming iterative nature of optimisation, and resource limitations in handling large codebases. In the table below, we compare how traditional manual performance optimisation stacks up against the GenAI-powered Artemis AI in terms of time, expertise, and cost.
Artemis AI Across Industries: Use Cases
Artemis AI is not limited to a single industry; it has practical applications across various sectors. Below, we present specific use cases to better understand how Artemis AI can be integrated into different operational contexts. Whether you’re involved in finance and interested in refining real-time data analysis, or in gaming looking to improve user experience, the platform’s capabilities are versatile and far-reaching.
Artemis AI Use Case Across Industries
As we navigate an era that urgently calls for digital efficiency and environmental responsibility, Artemis AI is your indispensable ally. It has the potential to revolutionise your code for peak performance, offering opportunities to save on computing costs and reduce carbon emissions.
