Intel Xeon Processors Turbocharge GenAI Workloads, Empowering Aible Solutions

Intel and Aible have teamed up to provide cost-effective and efficient AI solutions to businesses by combining Intel's high-performing hardware with Aible's end-to-end serverless generative AI and augmented analytics enterprise solution, showcasing their collaboration at the AWS Summit in Washington, D.C.

Cost-effective AI capabilities for businesses
Optimized for Intel processors
Efficient and energy-efficient solution

In an exciting collaboration, Intel and Aible are joining forces to bring advanced AI solutions to enterprise customers. By combining Intel’s high-performing hardware with Aible’s end-to-end serverless generative AI (GenAI) and augmented analytics enterprise solution, they aim to deliver cost-effective and efficient AI capabilities to businesses.

So, what exactly does this collaboration entail? Well, it means that shared customers can now run advanced GenAI and retrieval-augmented generation (RAG) use cases on multiple generations of Intel Xeon CPUs. This is made possible through engineering optimizations and a benchmarking program that enhance Aible’s ability to deliver GenAI results at a low cost.

But let’s take a step back and break it down. Aible’s technology is optimized for Intel processors and uses a serverless approach for AI. This means that resources are only consumed when there are active user requests. For example, if a user makes a query, the vector database activates for just a few seconds to retrieve the relevant information, and the language model powers up briefly to process and respond to the request. This on-demand operation helps reduce the total cost of ownership.

Now, here’s where it gets interesting. While RAG is typically implemented using GPUs (graphics processing units) and accelerators for their parallel processing capabilities, Aible’s serverless technique, combined with Intel Xeon Scalable processors, allows RAG use cases to be powered entirely by CPUs. And the performance data shows that multiple generations of Intel Xeon processors can efficiently handle RAG workloads.

The benefits of Aible’s CPU-based services are twofold. First, they enable customers to lower the operational costs of GenAI projects by exclusively utilizing CPUs in a serverless form. This means that the same underlying compute resources can be shared securely across multiple customers, similar to buying electricity when it’s used instead of renting an electricity generator. Second, these CPU-based services offer a cost-effective and energy-efficient solution, which becomes increasingly important as the demand for generative AI grows.

In fact, Aible’s benchmark analysis shows that customers can achieve up to a 55x cost saving when running RAG models on their CPU-based serverless solutions. This cost reduction is a testament to the effectiveness of Aible’s CPU-exclusive approach, which eliminates the need for more expensive GPU-based infrastructures with shared services or dedicated servers.

Intel has been working closely with Aible to optimize AI workloads on Xeon processors. By optimizing Aible’s code for AVX-512, a set of advanced instructions available in Intel processors, Aible has seen significant performance gains and improved throughput on Xeon processors. This highlights the impact of strategic software optimizations on overall efficiency.

So, what can customers do with this powerful combination of RAG models and Intel Xeon processors? The possibilities are vast, ranging from natural language processing (NLP) and recommendation systems to decision support systems and content generation. The collaboration between Intel and Aible opens up new doors for businesses looking to leverage AI in these areas.

To showcase their solutions, Intel and Aible will be demonstrating them at the Amazon Web Services Summit in Washington, D.C. If you’re attending the event, make sure to check out their booth and see firsthand how their collaboration can benefit your business. Aible’s solutions run on AWS Lambda and are available in the AWS Marketplace.

In conclusion, the collaboration between Intel and Aible brings together cutting-edge hardware and innovative AI solutions. By harnessing the power of Intel Xeon processors and Aible’s serverless approach, businesses can now access advanced GenAI capabilities at a low cost. This collaboration is a testament to the ongoing efforts to make AI more accessible and efficient for enterprise customers.

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Background Information

About Intel: Intel Corporation, a global technology leader, is renowned for its semiconductor innovations that power computing and communication devices worldwide. As a pioneer in microprocessor technology, Intel has left an indelible mark on the evolution of computing with its processors that drive everything from PCs to data centers and beyond. With a history of groundbreaking advancements, Intel's relentless pursuit of innovation continues to shape the digital landscape, offering solutions that empower businesses and individuals to achieve new levels of productivity and connectivity.

Technology Explained

AVX-512: AVX-512 is a technology that has been developed to enhance the performance of computer processors. It stands for Advanced Vector Extensions-512 and is a set of instructions that allow processors to perform multiple calculations simultaneously. This means that tasks can be completed faster and more efficiently, resulting in improved overall performance of the computer. AVX-512 is particularly useful for tasks that require a lot of data processing, such as video editing, scientific simulations, and artificial intelligence. It is also used in gaming to improve graphics and gameplay. In simple terms, AVX-512 makes computers faster and more powerful, allowing us to do more complex tasks in less time.

AWS: Amazon Web Services (AWS) is a cloud platform powered by Amazon that enables users to access cloud computing services, such as storage, data analytics, and distributed computing. It offers users the ability to utilize both on-demand and pay-as-you-go computing services, making it a great option for the computer industry. It offers a wide range of services with great flexibility for a variety of uses. It can help companies build powerful web and mobile applications, run large-scale analytics, quickly provision servers and other services, design sophisticated architectures for data storage, and more. AWS provides access to a wide range of services such as virtualization, storage, database, monitoring, analytics, and other services that can help organizations increase agility, manage complexity, and remain on the cutting edge of technology. Many big and famous organizations use AWS services to give them a competitive edge, and more and more companies are turning to this service for their computer needs.

CPU: The Central Processing Unit (CPU) is the brain of a computer, responsible for executing instructions and performing calculations. It is the most important component of a computer system, as it is responsible for controlling all other components. CPUs are used in a wide range of applications, from desktop computers to mobile devices, gaming consoles, and even supercomputers. CPUs are used to process data, execute instructions, and control the flow of information within a computer system. They are also used to control the input and output of data, as well as to store and retrieve data from memory. CPUs are essential for the functioning of any computer system, and their applications in the computer industry are vast.

GPU: GPU stands for Graphics Processing Unit and is a specialized type of processor designed to handle graphics-intensive tasks. It is used in the computer industry to render images, videos, and 3D graphics. GPUs are used in gaming consoles, PCs, and mobile devices to provide a smooth and immersive gaming experience. They are also used in the medical field to create 3D models of organs and tissues, and in the automotive industry to create virtual prototypes of cars. GPUs are also used in the field of artificial intelligence to process large amounts of data and create complex models. GPUs are becoming increasingly important in the computer industry as they are able to process large amounts of data quickly and efficiently.

Xeon: The Intel Xeon processor is a powerful and reliable processor used in many computer systems. It is a multi-core processor that is designed to handle multiple tasks simultaneously. It is used in servers, workstations, and high-end desktop computers. It is also used in many embedded systems, such as routers and switches. The Xeon processor is known for its high performance and scalability, making it a popular choice for many computer applications. It is also used in many cloud computing applications, as it is capable of handling large amounts of data and providing high levels of performance. The Xeon processor is also used in many scientific and engineering applications, as it is capable of handling complex calculations and simulations.