SBM Management Services, LP’s Post

Glossary of Key Aspects Related to Data Center Readiness for AI Workloads Data center readiness refers to the preparedness of a facility to handle the unique demands posed by AI workloads. As AI applications become more prevalent, understanding the impact on power, cooling, physical infrastructure and networking is crucial.

🚀Why is data collection and analysis gravitating towards edge computing today? Bill Burnham, CTO for US Public Sector at Hewlett Packard Enterprise, speaks with Katya M., Principal Data Scientist at Data Society and CDO Magazine Editorial Board Member, about the impact of 5G and edge computing, implementing new technology, and the approach to choosing locations for setting up data centers. Mijatovic interviewed Burnham on the sidelines of the recently conducted AFCEA CeVA Data Centric Summit. In the course of the conversation, Burnham emphasizes that the volume of data generated at the edge is expanding exponentially, encompassing everything from 4k video streams to sensor data. Consequently, processing must occur at the edge. 👉 WATCH the interview here: https://hubs.ly/Q02tXjtK0 You can also find this episode on our podcast page! 🎧 LISTEN here - https://hubs.ly/Q02tXjXQ0 Did you find this post relevant? Like it, share your views with the interviewee, and tag others who can benefit from it in the comments.👍🗨️

Older data centers are becoming obsolete due to the infrastructure needed to support AI uses. And the cost to redevelop most data centers is higher than new development. Land will be needed. https://lnkd.in/gBHE53JD

Hungry for resources, AI redefines the data center calculus "Data centers are running at near capacity in many areas of the world, according to the Global Data Center Trends 2024 report from CBRE, a real estate services firm. Singapore’s data centers have a 1% vacancy rate, and data center availability in the huge northern Virginia data center hub stands at 0.9%, despite an 18% increase in capacity between early 2023 and early 2024, according to the report." #GenAI #CIO #EvantaCIO

Data center rack density has doubled, yet it's still insufficient for AI workloads. Can solutions like direct-to-chip cooling and rear-door heat exchangers bridge this gap? How are you preparing your data center for the high-density demands of the AI revolution? Email me at mmccleave@parkplacetech.com to discuss Liquid Cooling solutions as you plan your AI investments. Read more in this piece from Data Center Knowledge. https://lnkd.in/guGPyDQb

What infrastructure components do you need for an #AI data center? Computing, storage, and power come to mind, but what about #networking and management. Check out our post for a breakdown https://lnkd.in/grWyRuZw

What goes into #AI infrastructure in the data center, and how can you make sure it runs at peak efficiency? Check out our post that covers the necessary hardware components, the associated challenges, and the approach to make it all run as efficiently as possible https://lnkd.in/grWyRuZw

What do you need for adding AI to your data center? Good read before diving into AI

Maybe the best article I've seen on the rapidly evolving risk in modern data center operations. The demands/impacts of AI are dramatically changing the data center owner operator landscape. The Baldwin Risk Digital Infrastructure team builds best in class insurance programs that cover design, construction, operations and sale/exit. Contact us for assistance managing your data center risk! Baldwin Risk Partners #datacenter #AI #riskmanagement

Did you know that a misconfigured network can hinder the performance of your AI, HPC, and big data applications? As leaders in innovation, it's crucial to ensure that your data center infrastructure is not just robust, but also optimised for future growth. RDMA (Remote Direct Memory Access) has revolutionized data transfer speeds, but its full potential relies on precise network configurations that avoid performance bottlenecks. To fully leverage RDMA's advantages of low latency and zero packet loss, the key lies in the fine-tuning of your MMU waterline settings. This configuration can make or break the performance of your data center, especially in environments that demand near-instantaneous data transfer. The stakes are high, and so are the rewards for getting it right. Read our latest blog and discover how optimising RDMA networks through precise MMU waterline settings can future-proof your data center operations. Read More: https://lnkd.in/gsQ5PAVe #Ruijie #NetworkSolution #RDMA #DataCenter #NetworkPerformance