Compute

The AI Infra Summit’s compute track is focused on the primary area of concern in the AI infrastructure market – dominating the inference era.

It covers efficient and cost-effective inference, how using AI in chip design can develop specialised chips with a shorter time to market, how scheduling facilitates the “always-on” requirements of inference, and the critical need for monitoring in keeping enterprise AI usage accountable. 

The Compute track, as a whole, addresses how to make large-scale inference systems efficient, reliable, and economically viable.

The track will address how to efficiently utilise compute by minimising idle memory bandwidth, and how to match workloads to hardware capabilities. The track will also address how to efficiently allocate limited, expensive compute across competing inference workloads. 

• The hyperscale and enterprise audience will leave the compute track having heard the cutting-edge developments in compute technology and having met the vendors selling the solutions necessary for scaling their AI infrastructure. 

• Infrastructure start-up C-Suite can be confident that they have met critical hyperscale and enterprise customers and gained the press exposure pushing competitive advantage.  

• For senior architects at established vendors, they will leave with deep insights into market development, their position against competitors, and the challenges enterprise customers need addressing.