IBM and Intel Launch Gaudi 3 AI Accelerators on IBM Cloud Platform

Intel Gaudi 3 AI Accelerators Now on IBM Cloud

Exciting news from the tech world! At yesterday’s Intel Vision 2025 event, IBM launched a game-changer: the availability of Intel Gaudi 3 AI accelerators on IBM Cloud. This collaboration is all about making it easier and more cost-effective for businesses to scale and deploy enterprise-level AI solutions. If you’re wondering how this affects you, let’s break it down.

Currently, you can access these powerful AI accelerators in IBM Cloud regions located in Frankfurt (eu-de) and Washington, D.C. (us-east), with plans to roll them out in Dallas (us-south) by Q2 2025. This is a significant step in IBM’s mission to help companies harness the full potential of AI without breaking the bank.

The AI Revenue Boost

According to IBM’s AI in Action 2024 report, a whopping 67% of business leaders reported revenue increases of 25% or more after integrating AI into their operations. That’s not just a minor bump; it’s a substantial leap! But here’s the catch: while AI is proving to be a revenue powerhouse, companies are also grappling with the costs tied to the infrastructure needed to support these advanced systems.

By leveraging Intel’s Gaudi 3 on IBM Cloud, businesses can not only innovate but also keep costs in check as they deploy generative AI solutions. Saurabh Kulkarni, Intel’s Vice President of Datacenter AI Strategy and Product Management, put it succinctly: “By bringing Intel Gaudi 3 AI accelerators to IBM Cloud, we’re enabling businesses to scale generative AI workloads with optimized performance for inferencing and fine-tuning.” This partnership is all about making AI accessible and affordable for enterprises around the globe.

Flexible Deployment Options

IBM Cloud and Intel have a rich history of delivering flexible solutions, allowing clients to adjust their computing resources as needed. So, how can you take advantage of the Intel Gaudi 3 on IBM Cloud? Here are a few options:

1.

Provision a stand-alone server

: You can deploy Intel Gaudi 3 through IBM Cloud Virtual Servers for VPC instances. The IBM Cloud VPC is designed with high resiliency and security, enabling clients to create isolated private clouds while still enjoying the benefits of the public cloud. This is perfect for those who need specialized software stacks or want more control over their server environment.

2.

Provision a container worker node

: If you’re looking to tap into managed containerized infrastructure, good news! IBM Cloud plans to offer Intel Gaudi 3 as a worker node for Red Hat OpenShift AI clusters and Red Hat OpenShift on IBM Cloud in Q2 2025.

3.

Bring-your-own watsonx software license

: For those who want complete control over their AI stack—from infrastructure to workload—you can deploy IBM watsonx.ai software on your Intel Gaudi 3-based virtual server on IBM Cloud VPC starting in Q2 2025. This integrated AI development studio features a robust toolkit for developing and managing AI services.

4.

Accelerate adoption through Deployable Architectures (DAs)

: Developers and operations teams can quickly deploy new features with IBM Cloud’s deployable architectures. These design modules will help clients adopt Intel Gaudi 3 capabilities swiftly, including options for watsonx software and Red Hat OpenShift.

A Collaborative Future

Bringing together the power of Red Hat AI and Intel Gaudi 3 on IBM Cloud creates a clear pathway for organizations to fast-track their AI initiatives. Steven Huels, Vice President of AI Engineering at Red Hat, emphasized the importance of this collaboration, stating, “Red Hat is pleased to build upon our long-standing collaborations with IBM and Intel to deliver end-to-end open source AI solutions.”

And it’s not just industry giants taking notice. Vikas Gupta from Wipro expressed excitement about this partnership, saying, “It aligns well with our GenAI Center of Excellence and IBM TechHub at Wipro. We look forward to bringing the value of this solution to our clients together.”

The Road Ahead

IBM and Intel’s partnership continues to empower organizations to adopt high-performance workloads while optimizing IBM Cloud VPC instances for secure deployment. Recently, they introduced Intel Trust Domain Extensions (TDX) on IBM Cloud Virtual Servers, enhancing data isolation and confidentiality.

If you’re eager to dive deeper into the world of Intel Gaudi 3 AI accelerators on IBM Cloud, check out [IBM’s official page](https://www.ibm.com/cloud/GPU-ai-accelerator/intel-gaudi3). And for more insights into AI solutions offered by IBM, visit [IBM’s AI page](https://www.ibm.com/artificial-intelligence) and [AI infrastructure](https://www.ibm.com/ai-infrastructure). The future of AI is here, and it’s looking bright!

Background Information

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About IBM:

IBM, or International Business Machines Corporation, is a globally American multinational technology company with a storied history dating back to its founding in 1911. Over the decades, IBM has consistently been at the forefront of innovation in the field of information technology. The company is known for its pioneering work in computer hardware, software, and services, with breakthroughs like the IBM System/360 and the invention of the relational database.

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About Intel:

Intel Corporation, a global technology leader, is 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 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.

  

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Technology Explained

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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.

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