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Ampere aims to address this with a low-power, high-performance solution.
Despite being the underdog, Ampere’s offering has been adopted by nearly all major hyperscalers worldwide.
We spoke to Ampere CPO Jeff Wittich about his companys success and future plans.
How does it feel to be the little mammal in the land of dinosaurs?
Its really an exciting time for Ampere.
The industry doesnt need more dinosaurs it needs something new.
The needs of the cloud have changed.
The increased demand we continue to see for Ampere products makes us confident that the industry sees our value.
Our Ampere CPUs are perfect for cloud use cases of all kinds and across a wide range of workloads.
Innovation like this requires a new approach that breaks legacy constraints.
What are your own personal views on that front?
Could Ampere join team RISC one day?
Amperes core strategy is to develop sustainable processors to fuel compute both today and into the future.
What can you tell us about the followup to Ampere One?
Will it follow the same trajectory as Altra > One?
Same frequency, more L2 cache per core?
Will it be called Ampere 2 and still be single threaded?
These are critical for Cloud Native workload performance now and in the future.
Because our CPUs are general purpose, they serve a broad spectrum of applications.
Ampere CPUs are also available across Europe at various cloud providers.
This is largely due to the increased efficiency and rack density these companies can achieve by deploying Ampere servers.
AI has become the main topic of conversation this year in the semiconductor industry and beyond.
Will this change in 2024, in your opinion?
How do you view this market?
We strongly believe AI will continue to be the main topic of conversation.
But we do think the conversation will shift and its already beginning to.
Secondly, sustainability and energy efficiency will become even more important next year in the context of AI.
Today, data centers often struggle to cover their energy requirements.
Because of this, sustainability and efficiency will become challenges for expansion.
Data center operators will heavily prioritize efficiency in the new year to avoid jeopardizing growth.
How is Ampere addressing this new AI market opportunity with its products?
For many AI applications, GPUs are compute overkill, consuming much more power and money than needed.
In these instances, replacing the GPU with a CPU saves power, space, and cost.
Compared to Nvidia Tesla T4 cards, we consume 5.6 times less.
