Scaling Intelligence Workshop: Google NYC, Thursday, May 28th 🚀

A workshop titled "Scaling Intelligence: Accelerating HPC and Inference Workflows" will be held at Google NYC on Thursday, May 28th from 12:00 PM to 4:00 PM. The hands-on event is designed for engineers, architects, and tech leaders to address infrastructure challenges in scaling Generative AI, including compute demands, latency, and data security. Attendees are encouraged to bring cross-functional teams for deep-dive labs and architectural reviews, with a networking reception to follow.

Do I just post about cool events? Maybe? But that's good, right? Now here's another Scaling Intelligence: Accelerating HPC and Inference Workflows. If you’re building or scaling Generative AI infrastructure, you already know the stakes. Balancing the massive compute demands of LLMs with strict production latency and data security requirements is a massive architectural hurdle. Whether you're tackling real-time streaming analytics, automated compliance pipelines, or complex risk modeling, your underlying infrastructure shouldn't be your bottleneck. On Thursday, May 28th, we’re hosting an exclusive, hands-on workshop at Google NYC 111 8th Ave designed specifically for engineers, architects, and tech leaders: Scaling Intelligence: Accelerating HPC and Inference Workflows. 🛠️ The Tech Breakdown This isn't a high-level pitch; we're diving into the actual plumbing required for breakthrough performance: 👥 Bring the Whole Squad Infrastructure decisions don't happen in a vacuum. To get the most out of the hands-on labs and architecture deep-dives, we highly encourage bringing a cross-functional team 2–4 people across: Aligning your data scientists with your infrastructure engineers is the fastest way to unblock your production roadmap. 📍 Logistics & Details Where: Google NYC 111 8th Ave When: Thursday, May 28 | 12:00 PM – 4:00 PM Stick around for the networking reception right after Note on Availability: Spaces are strictly limited to ensure high-quality, hands-on coaching and meaningful architectural reviews during the labs.