Dollars, Watts, and Tokens: Engineering the Lean AI Stack
The era of unconstrained AI scaling is ending. As frontier models move into production, power caps, inference latency, and rising token-level costs are exposing the limits of traditional scale-first architectures.
This salon convenes infrastructure executives, systems architects, and AI platform leads to confront a shared inflection point: how to architect for throughput, cost efficiency, and sustainability at scale.
What You’ll Explore:
Energy as a Strategic Limiting Factor
With megawatt access dictating deployment timelines, energy has become the gating variable for AI growth. Hear how teams are securing capacity, optimizing for joules per token, and designing next-gen data infrastructure to stay ahead.
Architect for Agentic Efficiency
Explore the critical architectural decisions that separate profitable AI deployments from costly failures. Discover the infrastructure patterns and design principles that Fortune 50 companies are using to achieve sustainable AI economics as the industry shifts from ephemeral AI to persistent, reasoning-capable agentic systems.
The True Cost of Intelligence
Scaling isn’t just about model parameters. We’ll unpack the full TCO of AI, including GPU fleet orchestration, silicon availability, regulatory overhead, and alignment with business KPIs.
Featured Speakers:
Why Attend
Get frameworks to navigate the Inference Wall
Learn how to turn efficiency into a competitive advantage
Benchmark against the most efficient infra and model strategies in play
Connect with handpicked leaders building the next generation of scalable, sustainable AI systems
Source know-how from practitioners who've deployed techniques at scale