Advanced artificial intelligence from Deloitte and Intel
Realize your AI ambitions with leading technology and experience
Our artificial intelligence (AI) solutions and accelerators combine Deloitte’s strategic, industry-focused AI experience and Intel’s open source tools. For an example of how our approach helps clients enhance AI performance, realize ambitions, and reduce cost and complexity, read: Advancing GenAI with CPU Optimization: Practical approaches for government and industry.
Unlocking AI potential: Experience meets innovation
Cost, latency, and security concerns have many business leaders reevaluating their AI and Generative AI (GenAI) strategies. Together, Deloitte and Intel’s AI solutions help organizations achieve their AI goals—both simple and complex—more quickly, securely, and cost-effectively.
By combining Deloitte’s industry and AI experience with Intel’s open source tools, optimized software, and advanced hardware, our offerings help clients streamline their machine learning pipelines and enhance the value of AI.
Advanced, market-ready AI solutions
Deloitte and Intel’s AI solutions and accelerators help clients address the full spectrum of AI requirements, from edge to cloud, for a range of use cases.
Bridging AI solutions across devices and cloud
Deloitte and Intel are ushering in a new era of hybrid AI with flexible solutions across devices and the cloud, including:
- Next-generation PCs, powered by Intel Core Ultra processors, which offer dedicated AI acceleration across GPUs, CPUs, and matrix processing units (MPUs)—enabling faster, more responsive on-device AI and unlocking new business possibilities.
- Intel Core Ultra processors, which enable advanced AI capabilities for productivity, collaboration, content creation, and accessibility.
- Intel’s Gaudi® AI accelerators, which provide cost-effective, high-performance hardware for GenAI, supporting both on-device and cloud workloads for flexible, scalable solutions.
Related content
Deloitte and Intel are making GenAI more accessible and cost-effective by running advanced LMs on CPUs instead of expensive GPUs.
