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Experience #TPC26. 🌐 Catch the plenaries you might have missed now thru June 15. Register to livestream at https://lnkd.in/gUj_8KyN #AI #ArtificialIntelligence #Supercomputing #HPC

What does it actually take to build, deploy, and operate AI at the scale science demands? 🤖 Experts from around the world gathered to explore this question at #TPC26. Hear their answers and catch the event livestream at https://lnkd.in/gUj_8KyN #AI #ArtificialIntelligence #Supercomputing #Livestream

If you weren't at TPC26 in Baltimore, the next best thing closes June 15. TPC26 brought together 500+ researchers, engineers, and national lab leaders from 18 countries to work through what it actually takes to run AI at the scale science demands. The plenary recordings, including Dario Gil on Genesis Mission and Katie Antypas on NAIRR's next phase, are available on demand for one more week. After June 15, they're gone. Register for access → https://lnkd.in/gXN5EmwV

We just spent four days at TPC26 in Baltimore asking one question: What does it actually take to build and operate AI at the scale science demands? 500+ people from 18 countries showed up to work on it, including national labs, universities, hyperscalers, and teams doing some of the most interesting applied AI work happening right now. If you missed it, the recordings are available through June 15. If you've been tracking Genesis Mission, NAIRR, or where HPC and AI are converging, the plenary sessions are worth your time. Access closes in a week → https://lnkd.in/gXN5EmwV

Four hackathon teams shipped real work at TPC26 in Baltimore. 1️⃣ Proved AI assistants can behave identically across different HPC cluster environments. 2️⃣ Discovered that strict locked validation is required to stop AI agents from overfitting in scientific benchmarks. 2️⃣ Built a live biosecurity anomaly detection platform. The fourth grounded AI fluid dynamics predictions against physics conservation laws. That's what TPC26 looked like. The plenary recordings and session content are on demand through June 15, then the access window closes. Worth an hour of your time → https://lnkd.in/gXN5EmwV

While AI training can be relatively simply supported by the batch-scheduled, GPU-enabled clusters in many HPC centers, inference workflows present new challenges. This talk from Dan Stanzione the Executive Director at the Texas Advanced Computing Center (TACC) the National Science Foundation (NSF)’s Leadership-Class Computing Facility, will cover how inference is being addressed at TACC and provide a summary of TPC discussions between TACC and other centers around the world on how inference may be addressed in academic research. Register to attend at https://lnkd.in/gxeHwU_e #TPC26 #AI #HPC #Supercomputing