IBM to make Intel's Gaudi 3 AI chip available in its public cloud

What is the IBM Gaudi 3 AI chip?

The IBM Gaudi 3 AI chip is a third-generation artificial intelligence (AI) chip designed by IBM. It is designed for use in a variety of AI applications, including natural language processing, machine learning, and deep learning. The Gaudi 3 AI chip is also designed to be used in a variety of cloud computing environments.

Key features of the IBM Gaudi 3 AI chip

• 8-core design with a clock speed of 2.6 GHz
• 16 GB of HBM2 memory
• 400 GB/s of memory bandwidth
• 128-bit vector processing unit
• Support for a variety of AI frameworks, including TensorFlow, PyTorch, and MXNet

Why is IBM making the Intel's Gaudi 3 AI chip available in its public cloud?

IBM is making the Intel's Gaudi 3 AI chip available in its public cloud to meet the growing demand for AI computing. AI is increasingly being used in a variety of applications, including customer service, fraud detection, and medical diagnosis. Making the Gaudi 3 AI chip available in its public cloud will allow IBM to offer a more comprehensive AI computing solution to its customers.

Benefits of using the IBM Gaudi 3 AI chip in the public cloud

• Scalability: The public cloud offers a scalable platform for AI computing. This means that businesses can scale up or down their AI workloads as needed.
• Cost-effectiveness: The public cloud offers a cost-effective way to access AI computing. Businesses only pay for the resources they use, which can lead to significant savings over time.
• Flexibility: The public cloud offers a flexible platform for AI computing. Businesses can choose from a variety of cloud providers and services to find the best solution for their needs.

Conclusion

IBM's decision to make the Intel's Gaudi 3 AI chip available in its public cloud is a significant development for the AI industry. It will make AI computing more accessible and affordable for businesses of all sizes. As AI continues to grow in importance, IBM is well-positioned to play a leading role in the development and deployment of AI technologies.