Live Webinar | Optimizing AI Workloads: Balancing Performance, Cost, and Scalability

#1655807: Live Webinar | Optimizing AI Workloads: Balancing Performance, Cost, and Scalability

Description:	In the rapidly evolving world of AI and machine learning, choosing the right hardware and designing efficient workflows can make or break your success. This webinar delves into the critical aspects of managing and optimizing AI workloads, whether you’re running interactive or batch processes. We’ll explore how to select GPUs (e.g., H100, GB200) based on your AI workload, plan for peak utilization, and navigate the trade-offs between self-managed and managed services. Discover practical strategies for capacity planning, reducing operational costs, and implementing DevOps and MLOps best practices. Real-world examples, such as B2B SaaS usage patterns, will highlight approaches to align hardware investments with workload demands. Join us to learn how to maximize your ROI, improve resource utilization, and future-proof your AI infrastructure. Who Should Attend: This session is ideal for machine learning engineers, DevOps professionals, and decision-makers seeking actionable insights on AI infrastructure optimization. How to choose and optimize hardware for AI workloads. Techniques for capacity planning and handling utilization fluctuations. Cost considerations in self-managed vs. managed services. Best practices for integrating DevOps and MLOps workflows. Data-driven approaches to maximizing GPU ROI.
More info:	https://www.databreachtoday.eu/webinars/live-webinar-optimizing-ai-workloads-balancing-performance-cost-w-6018?user_email=aaa@e-secure-it.com&rf=2024-12-09_VENDOR_SUB_.93_DBT__Slot5_WEB6018&mkt_tok=MDUxLVpYSS0yMzcAAAGXSTISHOUELYAM6jO9abbF-CYh7bBOsXKdf2p8U4MnJAhH5xf6preQm-tauDo6sNlGH1Dsi0qsc06I9rlgcU1nKCICQFJTMbpXJV5MUUoMxOWgaQ

Description:

In the rapidly evolving world of AI and machine learning, choosing the right hardware and designing efficient workflows can make or break your success. This webinar delves into the critical aspects of managing and optimizing AI workloads, whether you’re running interactive or batch processes. We’ll explore how to select GPUs (e.g., H100, GB200) based on your AI workload, plan for peak utilization, and navigate the trade-offs between self-managed and managed services.

Discover practical strategies for capacity planning, reducing operational costs, and implementing DevOps and MLOps best practices. Real-world examples, such as B2B SaaS usage patterns, will highlight approaches to align hardware investments with workload demands.

Join us to learn how to maximize your ROI, improve resource utilization, and future-proof your AI infrastructure.

Who Should Attend:
This session is ideal for machine learning engineers, DevOps professionals, and decision-makers seeking actionable insights on AI infrastructure optimization.

How to choose and optimize hardware for AI workloads.
Techniques for capacity planning and handling utilization fluctuations.
Cost considerations in self-managed vs. managed services.
Best practices for integrating DevOps and MLOps workflows.
Data-driven approaches to maximizing GPU ROI.

More info:

https://www.databreachtoday.eu/webinars/live-webinar-optimizing-ai-workloads-balancing-performance-cost-w-6018?user_email=aaa@e-secure-it.com&rf=2024-12-09_VENDOR_SUB_.93_DBT__Slot5_WEB6018&mkt_tok=MDUxLVpYSS0yMzcAAAGXSTISHOUELYAM6jO9abbF-CYh7bBOsXKdf2p8U4MnJAhH5xf6preQm-tauDo6sNlGH1Dsi0qsc06I9rlgcU1nKCICQFJTMbpXJV5MUUoMxOWgaQ

Date added	Dec. 9, 2024, 8:40 a.m.
Source	Data Breach Today
Subjects	AI/ML - Artificial Intelligence / Machine Learning / Artificial General Intelligence - AGI - Various PodCasts / Webcast / Webinar / eSummit / Virtual Event etc.
Venue	Dec. 11, 2024, midnight - Dec. 11, 2024, midnight