“ WE SEE SPACE AS THE NEXT AND MOST DEMANDING FRONTIER FOR EDGE COMPUTING.
T E C H T A L K
started my career
I working on the space shuttle programme at IBM and thought my life endeavors would centre on space. Instead, my interest turned to compute devices and the technology that can bring computation to the masses. Those interests are now aligning with the realities of AI in space for both Edge computation in satellites and spacecraft today, and the future plans for massive data centres in space.
For years AMD has built for ' Edge reality ' – where power is constrained, connectivity isn’ t guaranteed and success is measured in real-time decisions not theoretical peak performance. We’ ve helped bring AI into PCs industrial systems and embedded deployments by combining heterogeneous compute CPUs GPUs and adaptive compute along with a strong software foundation. This ' Edge playbook ' centres on a relentless focus on performance-per-watt and mission-critical reliability, allowing our partners to rightsize performance for their specific needs.
START AT THE EDGE, BUILD FOR THE MISSION
As AI workloads grow increasingly demanding and Edge deployments push the boundaries of constrained compute, the next frontier for intelligence is no longer terrestrial. AMD CTO, Mark Papermaster, outlines how the company’ s Edge Computing expertise is enabling AI in space – from real-time onboard intelligence to future orbital data centres.
We see space as the next and most demanding frontier for Edge Computing.
“ WE SEE SPACE AS THE NEXT AND MOST DEMANDING FRONTIER FOR EDGE COMPUTING.
The same fundamentals apply, they’ re just amplified: strict power and thermal budgets, intermittent communications expected, long service lives and a premium on reliability and autonomy. We are taking what we’ ve learnt enabling AI at the Edge and extending it to space workloads with holistic co-design across hardware, software and systems so that
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