Intel and IBM Partner to Launch Gaudi 3 AI Accelerators on IBM Cloud

Intel and IBM have announced a groundbreaking global partnership to deploy Intel Gaudi 3 AI accelerators as a service on IBM Cloud, targeting an early 2025 launch. This initiative will make IBM Cloud the first provider to integrate Gaudi 3 AI accelerators, aiming to enhance the compute power required for generative AI alongside improvements in availability, performance, cost-efficiency, energy efficiency, and security. The collaboration focuses on lowering the total cost of ownership for enterprise AI, boosting performance, and offering scalable solutions. Justin Hotard, Intel’s EVP and GM of the Data Center and AI Group, emphasized the importance of an open ecosystem for unlocking AI’s full potential. Alan Peacock, GM of IBM Cloud, highlighted IBM’s commitment to helping clients innovate in AI and hybrid cloud environments by providing flexible and cost-effective AI solutions.

Enhancing Compute Power in AI

Lowering the Total Cost of Ownership

The new partnership seeks to make AI more accessible and affordable for enterprises by integrating Gaudi 3 AI accelerators into IBM Cloud. These accelerators are designed to significantly reduce the total cost of ownership for enterprise AI applications, enabling organizations to achieve unprecedented levels of performance without breaking the bank. With enhanced compute power, improved availability, and better performance metrics, this partnership is expected to set a new standard in the industry.

Another key focal point of this collaboration is cost-efficiency. By leveraging the advanced capabilities of Gaudi 3 AI accelerators, IBM aims to deliver high-performance AI solutions at a lower cost. This is particularly crucial for companies operating in industries with stringent budget constraints. The integration of these accelerators with IBM’s robust cloud infrastructure allows for scalable solutions that can dynamically adjust to the client’s specific needs, optimizing both performance and cost.

Enhancing Security and Compliance

Security and compliance remain paramount concerns for enterprises, and this partnership aims to address these issues comprehensively. The new Gaudi 3 AI accelerators will be integrated with IBM’s well-regarded cloud security measures to offer a secure environment for AI workloads. This ensures that sensitive data is protected and complies with industry-specific regulations. The collaboration aims to provide peace of mind to companies concerned about data breaches and compliance issues while achieving high operational efficiency.

The Gaudi 3 integration will also offer advanced security features, such as encryption, secure boot, and runtime protection, making it ideal for industries requiring stringent security and compliance protocols. These features are expected to significantly reduce the risks associated with AI deployment, providing a secure and compliant platform for enterprises to leverage AI’s full potential. This move highlights the importance of security in modern AI applications, making it a foundational element of their cloud offerings.

Enhancing IBM’s AI Capabilities

Integrating with watsonx AI and Data Platform

The collaboration plans to integrate Gaudi 3 within IBM’s watsonx AI and data platform, aiming to provide additional infrastructure resources for scaling AI workloads across hybrid cloud environments. This integration is crucial for industries requiring robust and scalable AI solutions to manage vast amounts of data and complex computations. By incorporating Gaudi 3 into watsonx, IBM aims to streamline the process of managing AI workloads, resulting in enhanced performance and efficiency.

Moreover, the integration of Gaudi 3 with IBM’s watsonx AI and data platform will simplify the management of software stacks and enhance workload performance. This is especially relevant for industries that require scalable and adaptable solutions to meet their unique demands. With the added benefits of simplified software stack management, enterprises can focus on innovation and growth while leveraging the advanced capabilities of Gaudi 3 AI accelerators.

Extending the Intel-IBM Relationship

Security and compliance are top concerns for enterprises, and this partnership aims to thoroughly address these issues. The newly introduced Gaudi 3 AI accelerators will be integrated with IBM’s robust cloud security measures to create a secure environment for AI workloads. This ensures the protection of sensitive data while complying with industry-specific regulations, offering peace of mind to companies worried about data breaches and compliance issues. Moreover, this collaboration aims to achieve high operational efficiency.

The integration of Gaudi 3 will bring advanced security features like encryption, secure boot, and runtime protection, making it an ideal solution for industries with rigorous security and compliance requirements. These features are expected to significantly reduce risks associated with AI deployment, ensuring a secure and compliant platform for enterprises to harness AI’s full potential. This strategic move underscores the critical importance of security in modern AI applications, establishing it as a fundamental aspect of their cloud offerings. As businesses increasingly rely on AI, ensuring data security and compliance remains a foundational priority.

Explore more

Can an AI Finally Remember Your Project’s Context?

The universal experience of briefing an artificial intelligence assistant on the same project details for the tenth time highlights a fundamental limitation that has long hampered its potential as a true creative partner. This repetitive “context tax” not only stalls momentum but also transforms a powerful tool into a tedious administrative chore. The central challenge has been clear: What if

Will AI Drive Another Automotive Chip Shortage?

The unsettling quiet of near-empty dealership lots from the recent pandemic-era semiconductor crisis may soon return, but this time the driving force is not a global health emergency but the insatiable appetite of the artificial intelligence industry. A looming supply chain disruption, centered on a critical component—the memory chip—is threatening to once again stall vehicle production lines across the globe,

Trend Analysis: Next-Gen Loyalty Programs

In a retail environment defined by persistent tariffs and elevated prices, the conventional wisdom of competing on cost alone has become a precarious strategy for long-term survival and growth. Today’s consumers, particularly those from younger generations, have fundamentally altered the equation for what constitutes real value. For them, a purchase is no longer a simple transaction but an affirmation of

How Can AI Content Pass Detection and Still Rank?

The content marketing landscape experienced a fundamental transformation when search engines and major publishers began widely deploying sophisticated AI detection systems, creating a new and complex challenge for businesses relying on artificial intelligence for their content creation. Suddenly, blog posts, articles, and marketing copy that were once efficiently produced faced the risk of being flagged, demoted, or outright rejected. In

No-Code Blockchain Analytics – Review

The increasing sophistication of illicit activities on the blockchain has created an urgent demand for analytical tools that can keep pace without requiring a team of dedicated data scientists for every investigation. The emergence of no-code blockchain analytics represents a significant advancement in the digital asset investigation and compliance sector. This review will explore the evolution of this technology, its