POWERING THE FUTURE OF AI
Moving More Data , Using Less Energy
AI consumes massive amounts of data every second. Moving that data consumes 91% of energy per token. Semtech’s high-performance analog connectivity solutions move more data, more rapidly, with less energy. This allows data centers to increase bandwidth while reducing power consumption and cost. That’s how Semtech is helping power the AI future.
Introduction
THE CHALLENGE AHEAD
Tackling the Power Bottleneck to Scaling AI
AI relies on the near instantaneous movement and processing of data. Even as enterprises scale AI, they need to control costs, manage power usage and heat generation, and keep expensive infrastructure components working at full capacity. Greater energy efficiency in data movement helps them do exactly that.
Exploding Data
Larger AI clusters and rising connection speeds drive more data movement across the data center. Semtech's high-performance analog technology enables more bandwidth across optical fiber and copper connectivity.
Infrastructure Strain
More connections and higher bandwidth increase power, heat and signal-integrity challenges across AI infrastructure. Semtech provides solutions that scale as data centers scale.
New Architecture
Data center architectures must evolve to deliver more bandwidth with less power across both copper and optical connectivity. Semtech partners with designers to speed innovation, incorporate purpose-built solutions, and evolve as AI architectures evolve.
Our Offerings
Why is power the next critical constraint for AI data centers?
Hardware infrastructure uses 90% of its energy moving data rather than computing it. At the same time, larger AI clusters need more data to move between more components at higher speeds. As AI infrastructure rapidly scales, the massive volume of data movement means increased power usage. Improving the energy efficiency of that data movement can help data centers increase performance while managing power and thermal constraints.
Why does data movement matter so much to AI performance?
AI relies on data to produce reliable outputs. This means constantly moving data between accelerators, memory, switches, racks and clusters. If that data cannot move quickly and efficiently, it limits the ability of compute resources to generate useful insights. AI performance and infrastructure efficiency rely on high-performance connectivity.
Why does signal integrity become more challenging as AI networks get faster?
As connection speeds increase, signals become more difficult to transmit reliably. Loss, noise, and other impairments can reduce performance unless those signals are carefully amplified and conditioned. Semtech’s high-performance analog technology helps preserve signal integrity so data can move reliably at the speeds next-generation AI infrastructure requires.
Why are both copper and optical connectivity important in AI data centers?
Copper and optical links serve different needs based on distance, bandwidth, power, cost, and system architecture. Copper can be highly efficient for shorter connections, while optical connectivity is essential as distance and bandwidth requirements increase. By providing both, Semtech gives data center designers greater flexibility as their architectures evolve.
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