Unleashing the Power of Generative AI for Business Innovation
Enterprises are increasingly recognizing the potential of generative artificial intelligence (Gen AI) to drive innovation and growth. Despite this awareness, a significant gap exists between the recognition of the need for Gen AI and actual implementation. Only 39 percent of organizations are currently leveraging Gen AI for innovation and research, highlighting the challenges many face in terms of infrastructure and skills.
IBM Cloud: Empowering Competitive Advantage through AI
IBM Cloud is at the forefront of empowering organizations to embrace Gen AI by offering a comprehensive hybrid cloud and AI stack. With a strong foundation in high-performance computing, IBM Cloud is uniquely positioned to provide the AI infrastructure required for performance-intensive workloads. Collaborations and new solutions are being developed to facilitate seamless integration of AI technologies.
Revolutionizing Customer Experience with Cloud and AI
Companies like CrushBank are experiencing transformative benefits by harnessing the combined power of cloud and AI. By utilizing IBM’s watsonx on IBM Cloud for their AI Knowledge Management platform, CrushBank has achieved a 45 percent reduction in total resolution time. This not only enhances customer experience but also simplifies IT operations and ensures compliance with security standards.
Driving Momentum in Performance Intensive Computing
IBM’s initiatives to support the training and inferencing of generative AI models have been met with enthusiasm. Vela, IBM’s cloud-native supercomputer, has enabled the training of AI models at scale. Collaboration with partners, the availability of NVIDIA GPU offerings, and support for various AI platforms are propelling advancements in the field of generative AI implementation.
Expanding GPU Capabilities for Enhanced Performance
IBM is expanding its offerings of NVIDIA GPUs in IBM Cloud to support a range of accelerated workloads, including AI, 3D graphics, and video applications. The introduction of NVIDIA L40S and L4 Tensor Core GPUs enhances deployment flexibility and cost efficiency for clients running AI-powered applications. Direct access to NVIDIA GPUs in cloud environments paves the way for optimized performance and scalability.
Automating Solutions with Deployable Architectures
IBM is simplifying the deployment process for clients through Deployable Architectures (DAs) – pre-configured patterns that automate the implementation of IBM solutions on IBM Cloud. By streamlining deployment processes, businesses can accelerate outcomes and focus on driving value without compromising security and compliance standards.
Conclusion
As organizations navigate the complex landscape of AI adoption, IBM Cloud remains a trusted partner in harnessing the potential of generative AI. With a commitment to innovation, performance, and automation, IBM is poised to drive tangible business value and support clients in leveraging the transformative power of AI.
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