Intel has been a driving force behind some of the most major technological breakthroughs in the last 50 years, prepping its partners, customers, and enterprise users for the digital age. Intel is in charge of introducing end-to-end solutions that create enormous economic value in artificial intelligence (AI) & machine learning (DL).
But there’s one other area in which the digital behemoth is a key player. Intel is reaching out to the development community by offering a variety of software and coder tools that really can simplify the deployment of DL-driven alternatives while also taking care of all computer processing requirements, allowing data scientists, deep learning engineers, and practitioners to focus on delivering products that ensure real business value.
The company’s software offerings cover a wide range of demands for data scientists, developers, and researchers with differing levels of AI experience.
So, why is it that AI development tools are more vital than ever before? As architectural diversity grows and the work environment gets more complex, developers need access to a complete set of tools that will allow them to develop better, quicker, easier, and more reliable apps without having to worry about the underlying infrastructure. By removing code complexity, Intel primarily empowers developers, data scientists, and researchers to become even more productive.
Intel is making artificial intelligence (AI) more accessible to the developer community. In many ways, software became the last mile between developers and the actual physical hardware, allowing them to utilize CPU optimization capabilities.
The only way to fully realize the potential of future AI, HPC, and Internet of Everything paradigms will be to combine architecture innovation with platform-optimized software (IoE).
The only way to fully realize the potential of future AI, HPC, and Internet of Everything paradigms will be to combine architecture innovation with platform-optimized software (IoE).
It’s not just a “quick chip” but a suite of devices with a technology roadmap that will allow the development community to utilize new AI hardware capabilities. “Every three months, AI models double in size. To meet the expectations, a village of technology will be required: 2x due to software, 2x due to architecture, and 2x due to silicon process.
Intel® Software Design Tools Simplify AI Workflows
Intel® Software2 solutions are opening up new possibilities across numerous sectors as the global technology giant leads the way forward toward data-driven change. The Intel® Release of OpenVINOTM Toolkit assists retail business leaders3 in leveraging near real-time information to make sound choices faster. Wipro4 has developed cutting-edge AI solutions using Intel® Xeon® Scaling Processors and the Intel® Deployment of OpenVINOTM Toolkit.
To achieve significant performance benefits, data analysts with devastating-edge Algorithms rely largely on Intel® Runtime for Python today. While standard Python products provide a lot of performance, the Intel achievement libraries which come pre-installed with them provide much more.
Those operating in distributed contexts can now use BigDL, an Apache Spark DL library. This distributed DL toolkit aids data scientists in their Spark context by accelerating DL inference on CPUs. “BigDL is an insert to the computational intelligence pipeline that provides great performance increases.
The development industry is also enthused about Intel’s latest ambitious project, which will soon be available in beta and will eliminate the complexity caused by heterogeneous architectures. OneAPI, one of Intel’s most innovative multi-year software projects, provides a single programming methodology that works across heterogeneous architectures.
The final result is that application developers no longer have to maintain distinct codebases, numerous programming languages, or different tools and workflows, allowing them to get the most out of their hardware. “The magic of OneAPI is that it effectively removes the program’s complexity,” says Prakash Mallya, Vice President and Managing Director, Intel India’s Sales and Marketing Group. “Developers to take advantage of the homogeneity of architectures, which means they can use the structure that best fits their provides solid or use case.” It’s a multi-year initiative, and we’re committed to working on it every day to guarantee that we simplify and don’t compromise our results.”
Final Thoughts:
- Deploy AI anyplace with a wide range of hardware options
- Hardware-independentnt software capabilities
- Improving community support to keep up with the most recent tools
Taking the Lead in the AI Race
The winning aspect for Intel has been adhering to its ‘no one-size-fits-all’ policy and ensuring that its expanding portfolio of products and solutions remains AI-relevant. The IT giant has been at the front of the Ai technologies, assisting businesses and startups in putting AI into practice by reimagining computation and providing full-stack AI solutions that span software and hardware and add value to end-users. Intel has also invested extensively in developing a comprehensive network of relationships and making considerable inroads into specialized industrial sectors.
