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Find out what IBM AI computer is.

i. IBM has two main AI supercomputers:

* **Summit:** Located at the Oak Ridge Leadership Computing Facility in Tennessee, Summit was the world's fastest supercomputer from 2018 to 2020. It is a high-performance computing (HPC) system with over 9,000 POWER9 CPUs and 27,648 NVIDIA Tesla V100 GPUs, capable of 148.8 exaflops of peak performance.

* **Sierra:** Also located at the Oak Ridge Leadership Computing Facility, Sierra is a specialized system designed for workloads that require both high performance and high memory capacity. It has over 1,500 POWER9 CPUs and 4,320 NVIDIA Tesla V100 GPUs, with a peak performance of 94.6 petaflops.

Both Summit and Sierra are used for a variety of scientific and commercial applications, including:

* **Climate modeling:** Simulating the Earth's climate system to better understand how it is changing and what the potential impacts might be.
* **Materials science:** Designing new materials with desired properties, such as high strength or conductivity.
* **Drug discovery:** Identifying and developing new drugs to treat diseases.
* **Financial modeling:** Analyzing financial data to make better investment decisions.
* **Artificial intelligence:** Training and running large language models and other AI models.

In addition to these two supercomputers, IBM also has a number of other AI capabilities, including:

* **IBM Watson:** A cognitive computing platform that can understand and respond to natural language.
* **IBM Cloud AI:** A suite of AI services that can be used to build and deploy AI applications.
* **IBM Research:** A team of researchers who are working on developing new AI technologies.

Overall, IBM is a leader in the field of AI and is using its supercomputers and other AI capabilities to make a positive impact on the world.

ii. IBM's point of view on AI involves several key principles:

**1. Responsible AI:** This is a central theme for IBM, emphasizing the need for AI that is:

* **Fair:** Mitigating bias and promoting inclusivity in development and deployment.
* **Transparent:** Building trust by allowing explanations of how AI systems reach decisions.
* **Accountable:** Ensuring responsible use and clear ownership of AI systems.
* **Human-centered:** Designing AI with human values and ethics in mind.

**2. Openness and Collaboration:** IBM embraces open-source frameworks and partnerships, fostering collaboration across communities for faster progress and wider accessibility.

**3. Trusted and Explainable AI:** IBM invests heavily in research and development to create explainable models and tools, giving users insights into how AI works.

**4. Democratization of AI:** IBM aims to make AI accessible to businesses of all sizes, providing tools and services tailored to diverse needs.

**5. Focus on Real-World Impact:** IBM drives AI solutions that address crucial challenges in healthcare, environment, finance, and other sectors.

Here are some resources to learn more about IBM's perspective on AI:

* **IBM AI Ethics:** [https://www.ibm.com/impact/ai-ethics]
* **IBM Watson's point of view on generative AI:** [https://community.ibm.com/community/user/integration/events/event-description?CalendarEventKey=62966755-024d-4423-ba44-01863c964cd0&CommunityKey=ab1f8001-8ec9-4c40-84cb-396723d816a1]
* **IBM AI blog:** [https://www.ibm.com/blog/category/artificial-intelligence/]

By focusing on responsible, open, and impactful AI, IBM strives to shape a future where humans and technology work together for the benefit of all.

Learn more@ https://www.youtube.com/c/ITGuides/search?query=ai.