Recent Discussions
AI is Growing Rapidly. Is Our Talent Pipeline Keeping Up? 🚀
The AI revolution is currently building at a record pace, but the industry is facing a massive "people pipeline" problem. Industry leader Carrie Goetz, Principal and CTO at StrategITcom, highlights in the article, Building the People Pipeline for the Data Center Boom, that with nearly 500,000 open roles and a third of the workforce nearing retirement, we can no longer rely on poaching talent from competitors. Goetz proposes we must shift our focus to structured, skills-based apprenticeships and widen our reach to include veterans, tradespeople and neurodiverse talent. By demystifying the industry and showing students that tech careers involve much more than just coding, we can build a sustainable future for digital infrastructure. The conclusion: It’s time to stop just building facilities and start intentionally building the human workbench that powers them. --------------------------------------------------------------- 📣 Community Question: If you’re in the industry, share with us your own 'unconventional' path into the data center world. What's the one skill you use daily that isn't taught in a traditional classroom? Let's discuss! Click through to read the entire article above and let us know your thoughts around it in the comments below!catud21 days agoCommunity Manager14Views0likes0CommentsIs Compute Scarcity Stalling Your AI Progress? ⚡
AI success isn’t just about the model. In the article, "Managing AI In An Era Of Compute Scarcity: Governance Takes Center Stage", Palanivel Rajan Mylsamy: Director of Engineering Program Management at Cisco explains why compute governance is the new priority for tech leaders. Mylsamy highlights that compute power has become the "new gold," making it the primary bottleneck for scaling. To succeed, organizations must move away from wasteful resource allocation and embrace intelligent routing and hybrid infrastructures that balance security with cost-effectiveness. Ultimately, you can’t scale AI on a weak foundation; true growth requires moving from "what’s possible" to "what’s operationally sound." 📣 Community Question: How is your organization handling the compute crunch? Are you leaning more toward cloud, on-prem or a hybrid model? Explain why. Let's discuss! Click through to read the entire article above and let us know your thoughts around it in the comments below!catud1 month agoCommunity Manager20Views0likes0CommentsIntroducing Pure Storage Data Stream for AI Data Readiness
Cool news to share from Pure's presence at NVIDIA GTC this week - the announcement of a new solution - Pure Storage Data Stream - that accelerates data readiness by automating and speeding up the ingestion, transformation, and optimization of data for enterprise AI pipelines. "Data Stream is a GPU-centric AI-powered, integrated hardware and software stack built for data readiness to automate and accelerate the ingestion, transformation, and optimization of data for enterprise AI pipelines. It is a core component of Pure Storage Data Platform built for enterprise inference use cases, using the NVIDIA AI Data Platform reference design, a comprehensive, single-appliance, jointly engineered infrastructure stack tailored for AI inference via generative AI applications." Register for a preview here: https://www.pure.ai/data-stream.html Blog announcement: https://blog.purestorage.com/products/driving-the-future-of-ai-data-readiness-pure-storage-data-stream/Ludes2 months agoCommunity Manager168Views0likes0CommentsAccelerate Breakout Replay: Feeding the Beast: Designing Storage Architectures to Optimize GPU Utilization
Explore how to build AI-ready storage with high-throughput, low-latency architectures to keep GPUs fed while eliminating I/O bottlenecks. Speakers: Kevin Parker Ed Hsu Mike Webb, Silicon Labs https://www.purestorage.com/video/webinars/designing-storage-architectures-to-optimize-gpu-utilization/6375343080112.htmlcatud5 months agoCommunity Manager48Views1like0CommentsAccelerate Breakout Replay: The State of AI: This Year's Top Advances That Will Impact Enterprise Organizations
Review top AI advances from key sources—filtered through the lens of enterprise needs and real-world adoption. Speakers: Richard Galvez Par Botes Emir Biser https://www.purestorage.com/video/webinars/the-state-of-ai-this-years-top-advances/6375811924112.htmlcatud5 months agoCommunity Manager40Views0likes0CommentsAccelerate Breakout Replay: Panel Discussion - How to Make AI Succeed in Your Organization
Hear from experts on how to build scalable AI platforms with Pure Storage & Portworx®—balancing data, infrastructure, and performance. Speakers: Nathan Wood Victor Olmedo Tony Paikaday, NVIDIA https://www.purestorage.com/video/webinars/how-to-make-ai-succeed-panel/6375339058112.htmlcatud5 months agoCommunity Manager68Views0likes0CommentsAccelerate Breakout Replay: Unifying AI Data Pipelines: High-performance Storage for the Modern Enterprise
Discover how high-performance, scalable storage powers end-to-end AI/ML workflows and accelerates innovation. Speaker: Robert Alvarez https://www.purestorage.com/video/webinars/unifying-ai-data-pipelines/6375339304112.htmlLudes5 months agoCommunity Manager64Views0likes0Comments- mzacharias8 months agoModerator81Views0likes0Comments