IBM has recently made significant strides in enhancing its cloud-based AI and high-performance computing (HPC) capabilities through the integration of NVIDIA Tensor Core GPUs into its cloud infrastructure. A key motivator behind this upgrade is to address the rapidly growing demands for generative AI applications across various industries. According to a recent IBM survey, although interest in generative AI is substantial, only 39% of organizations have implemented it for innovation and research purposes. This figure is anticipated to rise significantly, with 69% of organizations planning to integrate generative AI by 2025, showcasing a remarkable upward trend from the 29% who were using it in 2022.
To help organizations meet this burgeoning demand, IBM has incorporated NVIDIA’s advanced Tensor Core GPUs into its cloud services. The inclusion of NVIDIA #00 GPUs promises up to 30 times faster inference performance compared to previous models. Such enhancement aims to provide businesses with improved processing power and more cost-effective solutions for model tuning and inference. The #00 GPUs are exceptionally well-suited for various AI tasks, especially those requiring intensive computation, such as the training of large language models (LLMs), the operation of user-interactive AI applications like chatbots, and the implementation of natural language search systems. These applications are becoming increasingly critical in many industries, as businesses look to leverage AI to enhance productivity and innovation.
Expanding AI and HPC Capabilities
IBM has recently advanced its cloud-based AI and high-performance computing (HPC) capabilities by integrating NVIDIA Tensor Core GPUs into its infrastructure. This upgrade is motivated by the growing demand for generative AI applications across diverse industries. Despite substantial interest, an IBM survey found that only 39% of organizations have implemented generative AI for innovation and research. However, this number is expected to rise dramatically, with 69% planning to adopt it by 2025, a notable increase from 29% in 2022.
To meet this growing demand, IBM has integrated NVIDIA’s cutting-edge Tensor Core GPUs into its cloud services. The inclusion of NVIDIA #00 GPUs promises up to 30 times faster inference performance compared to earlier models, offering businesses enhanced processing power and cost-effective model tuning and inference solutions. The #00 GPUs excel in various AI tasks requiring intensive computation, such as training large language models (LLMs), running interactive AI applications like chatbots, and executing natural language search systems. These applications are becoming critical as businesses harness AI to boost productivity and innovation across industries.
