Skip to content
MeetupOnlinePast event

GPU, CUDA, and PyTorch Performance Optimizations

Explore the topics

Event artwork for GPU, CUDA, and PyTorch Performance Optimizations

This event has ended

This listing is kept as an archive. Explore upcoming events to find your next one.

See upcoming events in Madrid
About this event

What to expect

Looking to squeeze every ounce of performance from your AI models? This monthly online meetup, held every third Monday, brings together engineers and researchers focused on the critical intersection of GPU architecture, CUDA programming, and PyTorch optimization. Hosted by Chris Fregly and Antje Barth, this Madrid-based community welcomes participants worldwide via Zoom.

The June 2026 session delivers two technical talks specifically on GPU, PyTorch, and CUDA performance optimizations. These sessions dig deep into the hardware-software stack that powers modern AI workloads, exploring techniques to maximize throughput, minimize latency, and eliminate bottlenecks in training and inference pipelines. Whether you're battling slow model training times, struggling with memory constraints, or looking to optimize inference for production deployments, these talks provide practical strategies you can apply immediately.

What You'll Learn

Expect hands-on insights into GPU utilization patterns, CUDA kernel optimization, PyTorch profiling tools, and architectural considerations for high-performance AI systems. The meetup kicks off with introductions and community updates before diving into the technical content, creating space for both learning and networking with fellow performance engineers.

Who Should Attend

This meetup targets ML engineers, research scientists, and performance engineers working with GPU-accelerated AI workloads. Whether you're optimizing transformer models, building custom CUDA kernels, or architecting distributed training systems, you'll find relevant content and valuable connections. Beginners interested in performance engineering are welcome, though familiarity with PyTorch and basic GPU concepts will help you get the most from the sessions.

Additional Resources

Chris Fregly maintains an active GitHub repository with code examples and optimization techniques. The community has also published an O'Reilly book on AI Systems Performance Engineering and shares ongoing content through their YouTube channel. For those new to generative AI, check out the free course on DeepLearning.ai recommended by the organizers.

This recurring series continues through December 2026, providing consistent oppor

Running an AI event in Madrid?

List it here, free.

Meetups, workshops and conferences go in front of thousands of builders after a quick review.

List your event