Generative AI and Cloud Computing: IBM Expands Nvidia GPU Offerings for Enhanced Performance
IBM Expands Options for Generative AI and Cloud Computing
IBM is offering expanded access to Nvidia GPUs on IBM Cloud to help enterprise customers advance their AI implementations, including large language model (LLM) training. IBM Cloud users can now access Nvidia H100 Tensor Core GPU instances in virtual private cloud and managed Red Hat OpenShift environments.
Enhanced Performance with New GPU Instances
The addition of the H100 Tensor Core GPU instances fills out a family of Nvidia GPUs and software that IBM already supports. The Nvidia H100 can enable up to 30X faster inference performance over the current A100, providing a range of processing capabilities while addressing enterprise-wide AI tuning costs.
- Businesses can scale AI efforts, starting with small models and scaling up to complex applications.
- IBM Cloud has built advanced computing hubs to connect multiple systems through high-speed protocols.
- Multi-level security protocols protect AI and HPC processes against data privacy concerns.
Automation and Advanced Tools for AI Development
IBM Cloud includes deployment automation capabilities and essential services such as AI lifecycle management solutions, serverless platforms, and compliance monitoring tools. Furthermore, clients can utilize IBM Watsonx AI studio for more intensive AI development tasks.
Nvidia and IBM: A Powerful Alliance for AI
The H100 deployment is just the latest in a series of technology partnerships between IBM Cloud and Nvidia, aiding enterprises in developing and supporting AI workloads effectively.
This article was prepared using information from open sources in accordance with the principles of Ethical Policy. The editorial team is not responsible for absolute accuracy, as it relies on data from the sources referenced.