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Engineering AI’s Future: Democratizing Scalable and Sustainable Compute

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Jeff Wittich, Chief Product Officer
15 Jan 2025

Artificial Intelligence (AI) workloads are growing at an unprecedented rate with the resulting data center electricity consumption expected to exceed 1,000 terawatt-hours globally by 2026. These demands place immense pressure on global infrastructure, requiring solutions that can handle increased energy usage, cooling inefficiencies, and rising greenhouse gas emissions:

  • Data centers currently consume 3% of the world’s electricity and 1% of global greenhouse gas emissions – and those numbers are expected to markedly increase.
  • Cooling accounts for up to 40% of a data center’s total energy consumption, making it a critical area for efficiency improvements.

These challenges create barriers to AI adoption, particularly for organizations with limited resources or aging infrastructure. Ampere® is at the forefront of democratizing AI by delivering innovative processors that help address these barriers. By supporting data centers in their efforts to operate more efficiently and sustainably within their existing footprint, Ampere’s solutions help ensure that AI technologies are accessible to industries and regions worldwide.

Ampere’s Approach to Infrastructure: Bridging the Gaps
Data centers form the backbone of AI technology delivery, but many facilities face challenges to supporting the demands of modern workloads such as AI. Legacy data centers, burdened by outdated infrastructure and limited cooling capabilities, often face high energy consumption, whereas modernized facilities have transitioned to advanced air-cooled and liquid-cooled systems that significantly enhance efficiency and performance.


Ampere bridges these gaps with processors designed to work seamlessly in any environment, offering organizations the flexibility to optimize performance without immediately incurring the high costs of retrofitting older facilities or overhauling infrastructure. This versatility ensures that AI workloads thrive, enabling resource-constrained industries and geographies to adopt advanced compute capabilities for latency-sensitive applications, like AI, today while planning for the future.

Ampere’s Innovation: Powering AI Workloads with Versatility
Ampere’s processors are designed to meet the growing demands of modern AI workloads by prioritizing efficiency, adaptability, and performance. Their innovative architecture enables seamless deployment across diverse environments, addressing infrastructure and power consumption challenges directly.


Compared to traditional x86 CPUs, Ampere Altra® processors are up to 2.5 times more power-efficient for cloud-native workloads. This power efficiency significantly reduces the thermal load on data centers, simplifying cooling requirements and enabling higher-density deployments.


Ampere’s processors also excel in handling demanding AI workloads, such as inference tasks that require high compute density. For example, they achieve up to 80% more AI inferences per watt compared to competing solutions.


By combining efficiency, scalability, and adaptability, Ampere ensures that organizations of all sizes can expand their AI operations without compromising performance or affordability.

Ampere’s Focus on Sustainability: Building a Greener Future
Sustainability is a critical consideration for the future of AI adoption and Ampere provides energy-efficient solutions that aim to improve the operational efficiency of data centers. This approach helps organizations address growing energy demands while exploring ways to align with environmentally conscious practices.


Ampere’s processors are designed to support lower energy consumption in data centers by enabling compatibility with air-cooled systems. This flexibility reduces the need for immediate infrastructure changes, such as liquid cooling retrofits, making greener practices more accessible to a range of industries and geographies.


By focusing on energy efficiency, Ampere supports cost reductions while enabling industries to adopt advanced technologies within their existing operational constraints. These solutions empower organizations to modernize their data centers in alignment with their sustainability objectives, fostering a more inclusive approach to AI adoption.

Ampere’s Real-World Impact: Bringing AI to Life
Ampere’s innovations are transforming industries by democratizing access to AI, enabling organizations of all sizes to harness its power in practical and impactful ways.

  • Logistics: Real-time processing of supply chain data is made possible in environments where traditional data centers struggle to meet compute demands.
  • Retail: From personalized recommendations to demand forecasting, Ampere’s solutions bring AI capabilities to businesses with limited IT resources.

Ampere’s processors address the critical challenges of AI workloads with innovative, scalable solutions that deliver high performance, energy efficiency, and adaptability. By enabling AI accessibility and modernizing data centers, Ampere is driving a future where advanced technologies thrive across industries and geographies while reducing barriers to entry for organizations of all sizes. This commitment to democratization positions Ampere as a leader in shaping the next generation of AI infrastructure.


Disclaimer
All data and information contained herein is for informational purposes only and Ampere reserves the right to change it without notice. This document may contain technical inaccuracies, omissions and typographical errors, and Ampere is under no obligation to update or correct this information. Ampere makes no representations or warranties of any kind, including express or implied guarantees of noninfringement, merchantability, or fitness for a particular purpose, and assumes no liability of any kind. All information is provided “AS IS.” This document is not an offer or a binding commitment by Ampere.


System configurations, components, software versions, and testing environments that differ from those used in Ampere’s tests may result in different measurements than those obtained by Ampere.


©2025 Ampere Computing LLC. All Rights Reserved. Ampere, Ampere Computing, AmpereOne and the Ampere logo are all registered trademarks or trademarks of Ampere Computing LLC or its affiliates. All other product names used in this publication are for identification purposes only and may be trademarks of their respective companies.

Created At : January 14th 2025, 10:41:29 pm
Last Updated At : January 15th 2025, 11:20:35 pm
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