Google Cloud provides leading infrastructure, platform capabilities, and industry solutions. We deliver enterprise-grade cloud solutions that leverage Google’s cutting-edge technology to help companies operate more efficiently and adapt to changing needs, giving customers a foundation for the future. Customers in more than 150 countries use Google Cloud as their trusted partner to solve their most critical business problems.
Axelera
Website: https://www.axelera.ai/
High Performance, Low Power, Cost Efficient Inference at the Edge
Axelera AI is delivering the world’s most powerful and advanced solutions for AI at the Edge. Its industry-defining Metis™ AI platform – a complete hardware and software solution for AI inference at the edge – makes computer vision applications more accessible, powerful and user friendly than ever before. Based in the AI Innovation Center of the High Tech Campus in Eindhoven, The Netherlands, Axelera AI has R&D offices in Belgium, Switzerland, Italy and the UK, with over 195 employees in 18 countries. Its team of experts in AI software and hardware come from top AI firms and Fortune 500 companies.
Outdated x86 CPU/NIC architectures bottleneck AI's power, limiting true Generative AI potential.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.
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.
NeuReality
Website: https://www.neureality.ai/
Founded in 2020, NeuReality is revolutionizing AI with its complete NR1® AI Inference Solutions powered by the NR1® Chip – the world's first true AI-CPU built for inference workloads at scale. This powerful chip redefines AI by combining computing—6x more powerful than traditional CPUs—with advanced networking capabilities in an AI-NIC, all in one cohesive unit. This includes on-chip inference orchestration, video, and audio capabilities, ensuring businesses and governments maximize their AI hardware investments.
Our innovative technology solves critical compute and networking bottlenecks where expensive GPUs often sit idle. The NR1 pairs with any AI accelerators (GPUs, FPGAs, ASICs), super boosting their utilization to nearly 100% from <50% today with traditional CPUs. This unlocks wasted capacity, delivering superior price/performance, unparalleled energy efficiency, and higher AI token output within the same cost and power.
The NR1 Chip is the heart of our ready-to-go NR1® Inference Appliance which can be built with any GPU. This compact server comes preloaded with our comprehensive NR Software suite, including all necessary SDKs and Inference APIs. Furthermore, it's equipped with optimized AI models for computer vision, generative AI, and agentic AI, featuring popular choices such as Llama 3, DeepSeek, Qwen, and Mixtral. Our mission is to make the AI revolution accessible and affordable, dismantling the barriers of excessive cost, energy consumption, and complexity for all organizations.
Five Forces Reshaping AI Infrastructure in 2025
Submitted by Agne Zarombaite on May 21, 2025 - 12:24pm
Five Forces Reshaping AI Infrastructure in 2025
Submitted by Agne Zarombaite on May 21, 2025 - 12:22pm
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.
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.
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.
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.
IEEE Women in Engineering
Website: https://wie.ieee.org/
Please visit our website for more information.Women in AI
Website: https://www.womeninai.co/
Women in AI (WAI) is a nonprofit do-tank working towards inclusive AI that benefits global society. We are a community-driven initiative bringing empowerment, knowledge and active collaboration via education, research, events, and blogging.
At Women in AI we empower women and minorities to become AI & Data experts, innovators and leaders. We encourage ethical applications and responsible use of artificial intelligence.
Mission: Women in AI is a community working towards shaping inclusive AI for our common future
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.
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.
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.
IEEE Women in Engineering
Website: https://wie.ieee.org/
Please visit our website for more information.Women in AI
Website: https://www.womeninai.co/
Women in AI (WAI) is a nonprofit do-tank working towards inclusive AI that benefits global society. We are a community-driven initiative bringing empowerment, knowledge and active collaboration via education, research, events, and blogging.
At Women in AI we empower women and minorities to become AI & Data experts, innovators and leaders. We encourage ethical applications and responsible use of artificial intelligence.
Mission: Women in AI is a community working towards shaping inclusive AI for our common future