Intel and Aible drive GenAI innovation with enhanced Xeon processor capabilities

Intel Corporation and Aible have announced a significant enhancement in the performance of generative AI (GenAI) workloads through their collaborative effort, leveraging multiple generations of Intel® Xeon CPUs. This partnership marks a significant step forward in making enterprise-grade, efficient AI solutions accessible to a wider range of customers. Starting with Intel’s advanced Xeon processors, the initiative focuses on optimizing GenAI and retrieval-augmented generation (RAG) applications, crucial for businesses looking to integrate AI into their operations effectively.

The collaboration between Intel and Aible has led to the development of serverless solutions that are not only cost-effective but also enhance the operational efficiency of RAG and fine-tuning AI workloads. Aible’s approach, which focuses on using CPUs for intensive AI tasks traditionally handled by GPUs, allows for on-demand resource utilization—similar to paying for electricity as it’s used rather than maintaining costly infrastructure. This model significantly reduces the total cost of ownership (TCO) and operational expenses, with Aible’s benchmark analysis showing potential cost savings up to 55 times when running RAG models on their serverless platform.

Intel and Aible are revolutionizing GenAI workloads with Xeon processors, offering up to 55x cost savings on serverless platforms.

Mishali Naik, Intel’s Senior Principal Engineer in the Data Center and AI Group, emphasized the joint effort’s impact, stating, “Our collaboration with Aible shows how we’re closely working with the industry to deliver innovation in AI and lowering the barrier to entry for many customers to run the latest GenAI workloads using Intel Xeon processors.” This synergy has enabled Aible to optimize its technology specifically for Intel CPUs, achieving significant performance gains by tailoring their code to utilize AVX-512 instruction sets, a move that has markedly improved throughput.

The use of RAG models powered by Intel Xeon processors opens up a plethora of applications in fields such as natural language processing (NLP), recommendation systems, decision support systems, and content generation. The strategic optimizations and benchmarking programs part of this collaboration not only enhance performance but also ensure scalability and security across shared computing resources.

Looking ahead, Intel and Aible are set to showcase their innovative solutions at the upcoming Amazon Web Services Summit in Washington, D.C., demonstrating the capabilities of their technologies on a large scale. Aible’s solutions, which run on AWS Lambda, are also available in the AWS Marketplace, providing easier access for customers to integrate these advanced AI tools into their existing systems.

The integration of Intel’s hardware prowess with Aible’s specialized AI software represents a paradigm shift in how AI workloads are managed and executed. This collaboration is a benchmark for the industry, setting new standards in both performance efficiency and cost-effectiveness, essential for businesses as they navigate the expanding landscape of generative AI applications.