Every session type is built for a different kind of story. Find the one that fits yours.
Share your expertise with the architects, engineers, and technical leaders building the future of AI, data, and infrastructure. Present at VAST Forward 2027, February 9–11 in Salt Lake City, Utah.

Whether you're solving infrastructure challenges, building intelligent applications, or researching what's next, speaking at VAST Forward puts you in front of the people shaping the future of AI.
Attend VAST Forward as a speaker, on us. Last year's event was the must-attend gathering for AI and data leaders, selling out well ahead of the show.
Connect with the practitioners tackling the same challenges you are, across infrastructure, applications, and research.
Present your ideas to AI infrastructure leaders, platform engineers, architects, researchers, and practitioners driving the next generation of enterprise AI.
Get promoted across VAST Forward marketing and event channels, putting your session in front of the broader VAST community.
VAST Forward is organized around four core focus areas that reflect the biggest challenges and opportunities in AI infrastructure today. When submitting your proposal, select the track that best aligns with your session's primary topic.
How organizations build, operate, and scale AI systems in production. Potential topics: training and inference infrastructure, GPU optimization, AI networking, AI observability, platform engineering.
How teams create and deploy production AI systems. Potential topics: agentic AI, RAG, video reasoning, AI application architectures, AI development workflows.
Preparing enterprise data for the AI era. Potential topics: data architecture, governance, streaming, vector search, hybrid cloud.
Exploring what comes next. Potential topics: emerging AI architectures, research breakthroughs, agentic systems, future infrastructure trends.
Every session type is built for a different kind of story. Find the one that fits yours.
Share technical insights, lessons learned, and real-world experiences.
Advanced architectural, operational, and engineering topics.
Multiple perspectives on industry challenges and emerging trends.
Interactive learning experiences and practical training.