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Outdated x86 CPU/NIC architectures bottleneck AI's power, limiting true Generative AI potential. NeuReality's groundbreaking NR1® Chip combines entirely new categories of AI-CPU and AI-NIC into one single chip, fundamentally redefining AI data center inference solutions. It solves these bottlenecks, boosting Generative AI token output up to 6.5x for the same cost and power versus x86 CPU systems, making AI widely affordable and accessible for businesses and governments. It works in harmony with any AI Accelerator/GPU, maximizing GPU utilization, performance, and system energy efficiency. Our NR1® Inference Appliance, with its built-in software, intuitive SDK, and APIs, comes preloaded with out-of-the-box LLMs like Llama 3, Mistral, DeepSeek, Granite, and Qwen for rapid, seamless deployment with significantly reduced complexity, cost, and power consumption at scale.

Author:

Moshe Tanach

Co-Founder & CEO
NeuReality

Moshe Tanach is Founder and CEO at NeuReality.

Before founding NeuReality, he served as Director of Engineering at Marvell and Intel, leading complex wireless and networking products to mass production.

He also served as Appointed Vice President of R&D at DesignArt-Networks (later acquired by Qualcomm) developing 4G base station products.

He holds Bachelor of Science in Electrical Engineering (BSEE) from the Technion, Israel, Cum Laude.

Moshe Tanach

Co-Founder & CEO
NeuReality

Moshe Tanach is Founder and CEO at NeuReality.

Before founding NeuReality, he served as Director of Engineering at Marvell and Intel, leading complex wireless and networking products to mass production.

He also served as Appointed Vice President of R&D at DesignArt-Networks (later acquired by Qualcomm) developing 4G base station products.

He holds Bachelor of Science in Electrical Engineering (BSEE) from the Technion, Israel, Cum Laude.

Five Forces Reshaping AI Infrastructure in 2025

Over the last six months, we held two dozen closed‑door interviews with the people who pour the concrete, sign the power‑purchase agreements, and deploy the GPUs that drive today’s AI boom. They ranged from Fortune‑100 cloud operators and traditional utilities to private‑equity financiers and immersion‑cooling specialists. Taken together, the conversations reveal a market in hyper‑growth mode but constrained by physics - power density, transmission capacity, thermal limits, and by a brutally tight equipment supply chain. Five forces rise above the noise and will shape every capital‑allocation decision in AI infrastructure during 2025.

Author:

Nalini Garg

California State Ambassador
Women In AI

Nalini is a recognized leader at Deloitte in AI & Data Practice, standing at the forefront of AI innovation and Strategy. With a distinct path of achievements, she delivered over 30 talks on generative AI, emphasizing its safe usage and business efficiencies for life sciences and tech companies. Nominated as top 100 women in AI for 2023, 2024, she currently serves as the California state ambassador for Women in AI. Beyond her professional prowess, Nalini is a wellness instructor, artist, and a podcast host.

 

Nalini Garg

California State Ambassador
Women In AI

Nalini is a recognized leader at Deloitte in AI & Data Practice, standing at the forefront of AI innovation and Strategy. With a distinct path of achievements, she delivered over 30 talks on generative AI, emphasizing its safe usage and business efficiencies for life sciences and tech companies. Nominated as top 100 women in AI for 2023, 2024, she currently serves as the California state ambassador for Women in AI. Beyond her professional prowess, Nalini is a wellness instructor, artist, and a podcast host.

 

Author:

Ipsita Mohanty

Vice Chair
IEEE Women in Engineering

Ipsita Mohanty is an accomplished AI Leader and Vice Chair of IEEE Women in Engineering, Santa Clara Valley, Region 6. With over 15 years of experience spanning Salesforce, Goldman Sachs, Walmart Labs, and Amdocs, she has led several impactful AI-driven initiatives, including architecting Salesforce-Tableau Agents and enhancing recommendation systems at Walmart. Ipsita holds a Master’s degree in Information Technology from Carnegie Mellon University and a Bachelor’s in Computer Science and Engineering from KIIT University. She is also the co-founder of QApp, an AI/ML automation platform empowering freelancers. Winner of several AI Awards and recognized among the Top 100 Women in AI Leaders globally, she actively contributes to AI research and community leadership while championing diversity in technology.

Ipsita Mohanty

Vice Chair
IEEE Women in Engineering

Ipsita Mohanty is an accomplished AI Leader and Vice Chair of IEEE Women in Engineering, Santa Clara Valley, Region 6. With over 15 years of experience spanning Salesforce, Goldman Sachs, Walmart Labs, and Amdocs, she has led several impactful AI-driven initiatives, including architecting Salesforce-Tableau Agents and enhancing recommendation systems at Walmart. Ipsita holds a Master’s degree in Information Technology from Carnegie Mellon University and a Bachelor’s in Computer Science and Engineering from KIIT University. She is also the co-founder of QApp, an AI/ML automation platform empowering freelancers. Winner of several AI Awards and recognized among the Top 100 Women in AI Leaders globally, she actively contributes to AI research and community leadership while championing diversity in technology.

Author:

Shweta Behere

Senior Engineering Manager
Workday

Shweta Behere is a Senior Engineering Manager at Workday, where she leads cloud platform engineering teams dedicated to building resilient and scalable systems. She is at the forefront of delivering AI solutions to enhance cloud platform infrastructure and observability. She currently serves as the IEEE Chair for the Women in Engineering Affinity Group for the Santa Clara Valley Section.

With over 18 years of experience, Shweta has made significant contributions to advancing public cloud, storage, and virtualization technologies, resulting in multiple patents and publications highlighting her innovative impact. Her leadership has earned her industry recognition, including being named among the “Top 50 Women of Impact in 2025" by Women Impact Tech and one of the “30 Outstanding Women in Engineering Leadership” by the Women Tech Network for her substantial contributions to the field.

Shweta is passionate about promoting women in engineering fields. As a thought leader, she addresses the challenges of balancing career and parenthood in tech, sharing her insights through articles and panel discussions. Through her mentorship, advocacy, and leadership, Shweta Behere inspires the next generation of technologists, especially women, and actively cultivates a more inclusive and supportive environment.

 

Shweta Behere

Senior Engineering Manager
Workday

Shweta Behere is a Senior Engineering Manager at Workday, where she leads cloud platform engineering teams dedicated to building resilient and scalable systems. She is at the forefront of delivering AI solutions to enhance cloud platform infrastructure and observability. She currently serves as the IEEE Chair for the Women in Engineering Affinity Group for the Santa Clara Valley Section.

With over 18 years of experience, Shweta has made significant contributions to advancing public cloud, storage, and virtualization technologies, resulting in multiple patents and publications highlighting her innovative impact. Her leadership has earned her industry recognition, including being named among the “Top 50 Women of Impact in 2025" by Women Impact Tech and one of the “30 Outstanding Women in Engineering Leadership” by the Women Tech Network for her substantial contributions to the field.

Shweta is passionate about promoting women in engineering fields. As a thought leader, she addresses the challenges of balancing career and parenthood in tech, sharing her insights through articles and panel discussions. Through her mentorship, advocacy, and leadership, Shweta Behere inspires the next generation of technologists, especially women, and actively cultivates a more inclusive and supportive environment.

 

Author:

Nalini Garg

California State Ambassador
Women In AI

Nalini is a recognized leader at Deloitte in AI & Data Practice, standing at the forefront of AI innovation and Strategy. With a distinct path of achievements, she delivered over 30 talks on generative AI, emphasizing its safe usage and business efficiencies for life sciences and tech companies. Nominated as top 100 women in AI for 2023, 2024, she currently serves as the California state ambassador for Women in AI. Beyond her professional prowess, Nalini is a wellness instructor, artist, and a podcast host.

 

Nalini Garg

California State Ambassador
Women In AI

Nalini is a recognized leader at Deloitte in AI & Data Practice, standing at the forefront of AI innovation and Strategy. With a distinct path of achievements, she delivered over 30 talks on generative AI, emphasizing its safe usage and business efficiencies for life sciences and tech companies. Nominated as top 100 women in AI for 2023, 2024, she currently serves as the California state ambassador for Women in AI. Beyond her professional prowess, Nalini is a wellness instructor, artist, and a podcast host.

 

Author:

Ipsita Mohanty

Vice Chair
IEEE Women in Engineering

Ipsita Mohanty is an accomplished AI Leader and Vice Chair of IEEE Women in Engineering, Santa Clara Valley, Region 6. With over 15 years of experience spanning Salesforce, Goldman Sachs, Walmart Labs, and Amdocs, she has led several impactful AI-driven initiatives, including architecting Salesforce-Tableau Agents and enhancing recommendation systems at Walmart. Ipsita holds a Master’s degree in Information Technology from Carnegie Mellon University and a Bachelor’s in Computer Science and Engineering from KIIT University. She is also the co-founder of QApp, an AI/ML automation platform empowering freelancers. Winner of several AI Awards and recognized among the Top 100 Women in AI Leaders globally, she actively contributes to AI research and community leadership while championing diversity in technology.

Ipsita Mohanty

Vice Chair
IEEE Women in Engineering

Ipsita Mohanty is an accomplished AI Leader and Vice Chair of IEEE Women in Engineering, Santa Clara Valley, Region 6. With over 15 years of experience spanning Salesforce, Goldman Sachs, Walmart Labs, and Amdocs, she has led several impactful AI-driven initiatives, including architecting Salesforce-Tableau Agents and enhancing recommendation systems at Walmart. Ipsita holds a Master’s degree in Information Technology from Carnegie Mellon University and a Bachelor’s in Computer Science and Engineering from KIIT University. She is also the co-founder of QApp, an AI/ML automation platform empowering freelancers. Winner of several AI Awards and recognized among the Top 100 Women in AI Leaders globally, she actively contributes to AI research and community leadership while championing diversity in technology.

Author:

Shweta Behere

Senior Engineering Manager
Workday

Shweta Behere is a Senior Engineering Manager at Workday, where she leads cloud platform engineering teams dedicated to building resilient and scalable systems. She is at the forefront of delivering AI solutions to enhance cloud platform infrastructure and observability. She currently serves as the IEEE Chair for the Women in Engineering Affinity Group for the Santa Clara Valley Section.

With over 18 years of experience, Shweta has made significant contributions to advancing public cloud, storage, and virtualization technologies, resulting in multiple patents and publications highlighting her innovative impact. Her leadership has earned her industry recognition, including being named among the “Top 50 Women of Impact in 2025" by Women Impact Tech and one of the “30 Outstanding Women in Engineering Leadership” by the Women Tech Network for her substantial contributions to the field.

Shweta is passionate about promoting women in engineering fields. As a thought leader, she addresses the challenges of balancing career and parenthood in tech, sharing her insights through articles and panel discussions. Through her mentorship, advocacy, and leadership, Shweta Behere inspires the next generation of technologists, especially women, and actively cultivates a more inclusive and supportive environment.

 

Shweta Behere

Senior Engineering Manager
Workday

Shweta Behere is a Senior Engineering Manager at Workday, where she leads cloud platform engineering teams dedicated to building resilient and scalable systems. She is at the forefront of delivering AI solutions to enhance cloud platform infrastructure and observability. She currently serves as the IEEE Chair for the Women in Engineering Affinity Group for the Santa Clara Valley Section.

With over 18 years of experience, Shweta has made significant contributions to advancing public cloud, storage, and virtualization technologies, resulting in multiple patents and publications highlighting her innovative impact. Her leadership has earned her industry recognition, including being named among the “Top 50 Women of Impact in 2025" by Women Impact Tech and one of the “30 Outstanding Women in Engineering Leadership” by the Women Tech Network for her substantial contributions to the field.

Shweta is passionate about promoting women in engineering fields. As a thought leader, she addresses the challenges of balancing career and parenthood in tech, sharing her insights through articles and panel discussions. Through her mentorship, advocacy, and leadership, Shweta Behere inspires the next generation of technologists, especially women, and actively cultivates a more inclusive and supportive environment.

 

Author:

Apala Guha

Principal AI Architect
Microsoft

Apala is Principal AI Architect at Microsoft Azure. She works on hardware-software codesign for supporting AI applications in Microsoft datacenters. She holistically analyzes hardware technologies, software optimizations and large language model architectures to design efficient future clouds. She has a PhD in Computer Science from the University of Virgina and a long history of working on AI accelerators, including at the startups, Lightmatter and Tenstorrent.

Apala Guha

Principal AI Architect
Microsoft

Apala is Principal AI Architect at Microsoft Azure. She works on hardware-software codesign for supporting AI applications in Microsoft datacenters. She holistically analyzes hardware technologies, software optimizations and large language model architectures to design efficient future clouds. She has a PhD in Computer Science from the University of Virgina and a long history of working on AI accelerators, including at the startups, Lightmatter and Tenstorrent.

Vaire Computing is developing Near-Zero Energy Chips to unlock the future of computing. As Moore’s Law slows and AI demand accelerates, conventional architectures are constrained by unsustainable energy and thermal limits. Reversible Computing provides a rare breakthrough: a way to decouple energy use from compute growth, enabling the hardware required for the machine intelligence era.

This session introduces Vaire’s approach and core technology, presents results from the first test chip fabricated in standard CMOS, and outlines the technical findings that validate energy recovery at the logic level. The discussion highlights two implications: co-designed IP to overcome thermal bottlenecks in custom ASICs, and system-level deployment to improve tokens-per-joule and total cost of ownership.

The talk concludes with the scaling law behind the technology and the roadmap toward production silicon later this decade. Early silicon results demonstrate that energy recovery is achievable in standard processes today, establishing the foundation for a new class of compute architectures capable of sustaining AI’s growth.

 

Author:

Alex Fleetwood

Chief Solutions Architect
Vaire

Alex Fleetwood is Chief Solutions Architect at Vaire Computing, a deep-tech startup pioneering near-zero energy AI chips based on reversible computing. A serial founder with multiple successful startups under their belt, Alex has built and scaled interdisciplinary teams at the cutting edge of AI, hardware, and systems design. At Vaire,  he is responsible for strategic partnerships, go-to-market strategy, and leading engagements with hyperscalers, government agencies, and foundries.

Alex Fleetwood

Chief Solutions Architect
Vaire

Alex Fleetwood is Chief Solutions Architect at Vaire Computing, a deep-tech startup pioneering near-zero energy AI chips based on reversible computing. A serial founder with multiple successful startups under their belt, Alex has built and scaled interdisciplinary teams at the cutting edge of AI, hardware, and systems design. At Vaire,  he is responsible for strategic partnerships, go-to-market strategy, and leading engagements with hyperscalers, government agencies, and foundries.