Red Hat Global Summit: Generative AI is exciting, and the open source field is ushering in a good time

As the annual industry feast in the global open source field, the 2023 Red Hat Global Summit has just come as scheduled.

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Red Hat Brings a Global Open Source Feast

At this summit, Red Hat released a series of new products such as the latest version of OpenShift AI and Ansible Lightspeed equipped with IBM Watson Code Assistant, and shared Red Hat's views and opinions on hot topics that media reporters are most concerned about.

Red Hat President and CEO Matt Hicks said: "We are full of excitement and expectations for the future, especially in artificial intelligence and new technologies. We have released some exciting new products, including OpenShift AI. However, to achieve this Vision, we also need to focus on efficiency, freeing up time and resources for ourselves to invest in. So balancing developer operations and security efforts is critical.”

“People cannot avoid discussing artificial intelligence in meetings or communication these days because it is everywhere. I totally agree with that. However, I want to emphasize automation. We hear from customers about the importance of automation in this day and age. role. We’ve made a huge investment in Ansible, the most popular open source automation community. We’re responding to customer demand with the highly anticipated release of Ansible 8. I’m really excited about this, and we’re committed to delivering Automation, leveraging upstream and open source technologies, brings more value to users and customers,” said Ashesh Badami, chief product officer at Red Hat.

"I'm particularly excited that I can see the summit resonate with our audience," said Chris Wright, Red Hat CTO. More. In this context, developer productivity is paramount. We've done a lot of work in the backend community to build a development platform that helps enterprise developers plug into their development model, and we're committed to simplifying The connection process for distributed applications. Re-emphasis on developer efficiency. As someone with an engineering background, I really enjoyed the feedback I received today."

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5G popularization promotes multi-cloud development

With the increasing popularity of 5G around the world, the Internet of Things, cloud computing, and edge computing have also ushered in opportunities for large-scale development.

Matt Hicks pointed out that Red Hat is placing the highest priority on the development of 5G, especially the impact on the radio access network. "We've seen RHEL on embedded devices, and OpenShift being able to run efficiently on a single node. These efforts are based on the needs of telecom topologies, and we work closely with strong partners and equipment suppliers, A series of core network infrastructures have been built. We are full of expectations for the global popularization of 5G, and believe that it will become the next important trend in the telecom industry."

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【Red Hat President and CEO Matt Hicks】

Chris Wright pointed out that the birth of 5G is a major change in the network field. By providing higher bandwidth, lower latency, and more connection density, 5G will bring a lot of innovation to enterprise application scenarios. "Future 5G revenue growth is expected to come primarily from enterprise applications, not the consumer market. Enterprise applications need to focus on applications that meet enterprise needs, and Red Hat has a large partner ecosystem that can provide applications designed for enterprises. Applications. Through multi-access edge computing and the OpenShift container platform, Red Hat can run network applications and enterprise-oriented applications, and even provide consumers with innovative application experiences in scenarios such as stadiums. This helps operators Get a return on the huge investment required to build out 5G networks. We see this as a manifestation of hybridization, building a smarter, more connected world by connecting data centers, edges and public clouds, and leveraging IoT devices, Including smart cities and smart agriculture, which means huge changes and opportunities for Red Hat and enterprises in many industries."

Onboard OS and Containers

As we all know, Red Hat and General Motors have been working together to develop an in-vehicle operating system. What progress has the two sides made so far? What role will containers play in the smart car industry in the future?

Chris Wright pointed out that a smart car can be connected to the network, but it is also a very complex device. Some people describe it as a "mobile data center". Red Hat's partnership with GM is focused on bringing Red Hat's flagship enterprise Linux product into cars, which requires some technical work to ensure it's paired with the right hardware. Under this hardware architecture, many vehicles use ARM architecture-based processors and need to accommodate the size and space constraints of the vehicle. So far, Red Hat has made a lot of progress in this area.

In addition, considering that the application of RHEL in vehicles can provide the underlying platform for entertainment systems, advertising systems, assisted driving and automatic driving systems, and these systems have different levels of requirements for functional safety. Therefore, introducing functional safety into traditional Linux distributions such as RHEL is a very important work. To that end, Red Hat is making a big push into technologies that provide functional safety, a fundamental requirement for any in-vehicle solution.

Talking about how to run containers in vehicles or natively support containerization technology, Chris Wright revealed that Red Hat directly adopted Podman in the vehicle operating system (ROW) and also made two important improvements in OpenShift. One is to start with the wireless access network use case in the telecommunications space and strip OpenShift down to a version that can run on a single node, a single server (Red Hat calls it single-node OpenShift), which are usually of standard scale, and more Core and memory; Second, Red Hat also launched MicroShift at the same time, which further reduces the footprint on the basis of OpenShift and can run on smaller devices. Getting RHEL into a form factor suitable for vehicle operating systems and able to run containers is a very important step.

“There is a huge ecosystem in the automotive industry, including many suppliers supplying OEMs with products. So we work with this huge ecosystem to ensure that the products we refer to, whether it is a compliant operating system, targeting Edge-optimized Linux, or edge-optimized OpenShift and MicroShift, must be able to seamlessly integrate with the entire automotive ecosystem and meet the needs of the entire ecosystem," added Ashesh Badami.

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【Red Hat Chief Product Officer Ashesh Badami】

The future of generative AI is exciting

The popularity of generative AI in the world in 2023 has made artificial intelligence and AIGC the focus of every technology event, and the 2023 Red Hat Global Summit is no exception.

Matt Hicks said that the most exciting thing about generative AI is that it stands out from the traditional deep learning capabilities and realizes the evolution of machine learning. Compared with traditional AI applications, the biggest change of generative AI is that it no longer needs user-labeled data for training, but can start to gradually train data from large models and some specialized models. "Going forward, we're going to see a lot of innovation based on open source. We want to make sure we're well positioned to bring those innovations to the enterprise. We've already It has been practiced in some products of Red Hat (such as Red Hat Insights). Generative AI will allow us to conduct more experiments and data training in a more efficient way, resulting in richer applications, and in the future Do it in a faster, more exciting way."

Chris Wright believes that generative AI is a very important advancement. Since the advent of deep learning, the development of large-scale language models and generative AI has attracted much attention. Over the past few years, deep learning has required deep expertise from data scientists to build models. Today, however, transfer learning based on large language models and base models offers more opportunities for enterprises. Users no longer need to perform heavy labeling work on the data, but can use smaller, more focused data sets for training and customization for wider application in enterprise environments. This change has dramatically altered access to technology, leading to significant change.

"In an enterprise environment, we can't just rely on models like ChatGPT or BART for questioning and answering because their answers, while well-formed, are not always accurate. So we're focused on integrating these technologies into our platform. The first example we talked about today is Ansible Playbook, which was developed by Red Hat in cooperation with IBM. Ansible Playbook can use natural language to generate executable instructions, and we have also expanded this technology into our product portfolio, especially in the On the OpenShift platform. Taking Kubernetes as an example, when you start an application, you can use a YAML file to describe its deployment. Generating a YAML file to deploy an application is a further expansion of our product portfolio. We attach great importance to running on the OpenShift platform The runtime operation of the application, so we use operators (Operators) to manage the application. In the future, we will further use generative AI technology to generate operators, so as to help operation and maintenance personnel and developers to use our more efficiently Product portfolio. This is just one of the many ways generative AI can be integrated into our product portfolio, and we will continue to explore more possibilities in the future.” Chris Wright said.

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【Chris Wright, Chief Technology Officer of Red Hat】

"We're at an exciting time where innovative applications are becoming critical no matter what the environment. We're seeing a lot of innovation around open source, whether customers are innovating naturally or consciously out of economic challenges, and We'd love to be that bridge. So going forward we're going to be focused on realizing the potential of this technology, whether it's enhancing your capabilities in Ansible by partnering with us on domain-specific AI, or gaining traction in developer and DevOps. Better performance, or success in implementing some artificial intelligence innovations. This is a very exciting time. Therefore, we will fully apply these technologies in different industries and different application scenarios, and work with our customers Get through this time. It's a great time for Red Hat and the open source space," said Matt Hicks.

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