TurinTech & Intel bring offline AI optimisation to Core Ultra PCs
TurinTech has announced a partnership with Intel that will provide a fully on-device, offline version of its Artemis AI code optimisation platform for new Intel Core Ultra-powered PCs.
The collaboration means developers and enterprises using Intel-based systems will be able to build, optimise, and validate AI workloads without requiring a cloud connection. This on-device deployment is designed to improve performance, data security, and operational efficiency by leveraging Intel's combination of CPU, GPU, and NPU technologies, along with its OpenVINO toolkit.
Artemis, TurinTech's AI engineering solution, is now optimised for Intel's latest processors, enabling software tasks to run locally. This approach aims to support businesses that require high performance in environments with limited internet access or where data privacy is a top concern.
Developer focus
Artemis has been designed to take advantage of Intel XPU architecture. The result is a system that uses CPU, GPU, and NPU resources efficiently while keeping the device available for other applications. Local processing also supports compliance with privacy policies and regulations, as no code or data needs to leave the device for optimisation.
Dennis Luo, Senior Director and General Manager, AI PC Developer Relations at Intel, discussed the potential for the collaboration:
"Together with TurinTech, we're expanding what's possible on AI PCs. Through our collaboration, we're making it easier to bring Artemis directly on-device, empowering developers to tap into Intel platform capabilities with greater efficiency and flexibility. For enterprises, this means faster performance, more secure and cost-efficient experiences, building a scalable path to deliver AI-powered value right at the endpoint," said Dennis Luo, Senior Director/GM AI PC Developer Relations at Intel."
The partnership will see Artemis being utilised within Intel's own engineering teams to increase development efficiency and optimise workloads across business units, according to officials from both companies.
Local execution
Björn Taubert, Director of Developer Engineering at Intel, said Intel's involvement will help ensure Artemis is tuned to the company's hardware:
"As a partner to TurinTech, Intel is dedicated to ensuring an optimized local execution of Artemis on Intel-powered AI PCs. Our collaboration goes beyond being a customer and user of Artemis-we work closely with TurinTech to ensure their technology is optimized for Intel hardware, delivering better performance, reliability, and efficiency directly on a local PC."
TurinTech's platform analyses, plans, and optimises code across the development lifecycle. It aims to assist enterprises in delivering measurable outcomes in software performance, cost reduction, and energy usage, all underpinned by its AI-optimisation engine.
Security and sustainability
Leslie Kanthan, Chief Executive Officer and Co-founder of TurinTech, said that the direct integration of Artemis with Intel's hardware delivers a combination of speed, security, and sustainability for software developers and enterprise teams:
"Bringing Artemis on-device with Intel marks an exciting step forward. Together, we're enabling faster, more secure, and more sustainable AI development-directly on the hardware where it matters."
The two companies plan to work closely together to increase visibility for Artemis on Intel platforms, targeting device manufacturers, developers, and their partner ecosystem. They have said there will be an increased focus on demonstrating how AI-driven code optimisation can benefit performance and increase trust in digital environments for both consumer and enterprise markets.
