AI workloads demand massive computing power, and the costs can skyrocket quickly. But what if there were a smarter, more cost-effective way to optimize performance while reducing expenses?
Watch this on-demand replay, where AI and infrastructure experts Adam Dean and Bob Fosina with h-Bar Solutions, as well as Steven Gripshover, AI Product Manager-IBM, and Joe Cosenza, Brand Sales SME & Field Enablement-IBM, to uncover how businesses are leveraging IBM Power Systems, watsonx.ai, and other emerging solutions to cut AI compute costs—without compromising on security, scalability, or efficiency.
Are you overspending on AI? Discover how enterprises are optimizing AI workloads and get insider insights from industry leaders.
Don’t let AI compute costs slow you down! Join this expert-led session to take control of your AI expenses and future-proof your AI strategy.
Plus, participate in the "AI Adoption Benchmark Study" to gain valuable data on how businesses like yours are approaching AI investments (and qualify for a potential reward! T&Cs apply). Take the survey now
What You'll Discover at This Event
- Cost-saving strategies for power-hungry AI workloads
- The role of IBM Power Systems in AI optimization
- Alternative computing approaches to reduce expenses
- How to balance cost, performance, and security in AI adoption
Featured Experts
Unlock Insights with BeTechly's Expert Webinars
Join our fast-paced, data-driven webinar series, where top tech experts break down the biggest challenges in business technology today. In just 30-45 minutes, you’ll dive into the insights that matter—guided by critical, must-know questions backed by real-time market data and emerging trends. Get actionable strategies for decision-makers like you, live Q&A to tackle your specific challenges, and Peer Polls to benchmark your priorities against industry leaders. Stay ahead in today’s rapidly evolving tech landscape—gain the insights, strategies, and expert guidance you need to make smarter, data-driven decisions.
Join Our Insight Gift Network