Unlocking Faster AI ROI: Stelia’s Role in Optimising GPU Performance
The AI Hardware & Edge AI Summit took place from September 10-12, 2024, at Signia by Hilton in San Jose, CA, bringing together leading AI infrastructure experts, enterprise adopters, and innovators focused on the next phase of AI execution.
As AI adoption scales across industries, a recurring theme at the summit was the urgent need for optimised AI infrastructure to maximise performance and drive real business value. From discussions on scaling AI inference to tackling GPU bottlenecks, the conversation shifted from experimentation to execution, making AI infrastructure the defining factor in enterprise success.
Stelia at the AI Hardware & Edge AI Summit
The Stelia team, represented by Tobias Hooton (CEO), and Dan Scarbrough (CCO), , engaged with enterprise leaders on how to increase GPU performance and accelerate AI-driven ROI. 
Stelia had a booth at the event, providing attendees with hands-on insights into how the platform optimises AI execution. Visitors had the opportunity to book meetings with the team and explore how Stelia’s solutions help enterprises maximise the efficiency of their AI infrastructure.
AI Inference: The Center of AI’s Commercial Value
One of the major takeaways from the summit was the industry’s growing focus on AI inference as the primary driver of commercial AI value. While model development remains critical, enterprises now recognize that the ability to execute AI in real-time — without infrastructure bottlenecks — determines competitive advantage.
Stelia’s approach aligns directly with this shift. By optimising AI data mobility and orchestrating GPU workloads, Stelia enables enterprises to eliminate latency challenges and unlock the full potential of their AI investments. Rather than struggling with fragmented infrastructure, AI-first enterprises need a purpose-built platform designed for inference at scale—a challenge Stelia is uniquely positioned to solve.
The Future of AI Infrastructure: From Bottlenecks to Business Value
As AI execution becomes the priority for enterprise adoption, the AI economy will be defined by performance, scalability, and infrastructure efficiency. The discussions at AI Hardware & Edge AI Summit 2024 made it clear: AI models are just the engines—without the right infrastructure, they can’t drive real business outcomes.
For companies looking to maximise GPU utilisation, accelerate AI workloads, and achieve faster ROI, Stelia provides the infrastructure layer that powers AI-first enterprises.
To learn more about how Stelia can optimize your AI performance, reach out at connect@stelia.io or book a meeting with our team.
