Connect with us

Hi, what are you looking for?

AI Education

Intel Donates Multimillion-Dollar AI Hardware to ASU, Expanding Processing Power by 10x

Intel donates multimillion-dollar AI hardware to Arizona State University, boosting processing power by 10x and enabling 8,000 custom AI applications.

Arizona State University (ASU) has secured a multimillion-dollar technology donation from Intel aimed at significantly enhancing the university’s AI processing capabilities by up to ten times. This donation marks a pivotal shift in how researchers and students at ASU will utilize computing power, providing access that previously relied on costly, congested national supercomputing systems.

The new hardware will not remain confined to a lab for limited use; it forms the backbone of the ASU AI Research Acceleration Platform (AIR Platform). This initiative is spearheaded by ASU Knowledge Enterprise and integrates Intel’s AI accelerator chips with ASU’s Sol supercomputer. The platform ensures that faculty, researchers, and students can engage with advanced AI tools through CreateAI, ASU’s primary AI toolkit. This toolkit features open-source large language models, including Google’s Gemma and Meta’s Llama Scout, allowing users to build tailored AI experiences using their own datasets.

Already, more than 8,000 custom AI applications have been developed through CreateAI Builder, spanning academics, research, and university operations. ASU President Michael Crow emphasized the importance of making such transformative technology accessible, stating, “Lowering the barriers to entry and encouraging researchers and students to use AI will further the pursuit of innovative solutions to our greatest challenges in society. This collaboration with Intel reflects our shared commitment to the principled application of AI to further research and advance education.”

The capacity enhancement comes at a crucial time; prior to this donation, ASU’s AI operations utilized hundreds of NVIDIA GPUs powering the Sol supercomputer. The introduction of Intel’s chips does not replace these existing resources but rather complements and diversifies them. This expansion allows for thousands of additional users to work on generative AI projects without hindering resources required for other computationally intensive tasks.

Sean Dudley, Associate Vice President at Knowledge Enterprise and head of the Research Technology Office, noted the significance of this upgrade: “The technology introduces a new type of high-performance computing capacity. This technology enables us to support thousands of additional users that are developing or engaging generative AI models while shifting these workloads off our existing resources to free them up for other computationally intensive projects.”

Importantly, ASU is managing the AIR Platform as a regional cloud offering, which ensures that sensitive data remains under university control. This aspect is particularly attractive for researchers who might otherwise face privacy concerns when utilizing external computing services. Sally C. Morton, Executive Vice President of ASU Knowledge Enterprise, remarked, “The AIR Platform isn’t just infrastructure — it’s a coordinated, programmatic capability that lowers the barrier to advanced AI methods across disciplines. By making these tools accessible and integrated into research workflows, we enable faculty and students to move faster from idea to insight. That’s core to Knowledge Enterprise: accelerating discovery and translating it into tangible impact at scale.”

The immediate impact of the donation is already evident in various applications. Jianming Liang, a Professor in the College of Health Solutions, has developed an AI tool named Ark+ that aids physicians in accurately interpreting chest X-rays. Initially trained on over six public datasets of medical images, Liang plans to leverage the new computing power to train a more extensive model across more than 1,000 datasets, enhancing its ability to identify and precisely locate diseases beyond those visible in chest imaging.

The donation is also reshaping the educational landscape at ASU. Suren Jayasuriya, an Associate Professor in The GAME School and the School of Electrical, Computer and Energy Engineering, has incorporated the AI accelerators into his deep learning course. Students are tasked with benchmarking machine learning workloads on the new chips, providing hands-on experience that many undergraduates would not encounter elsewhere.

This latest collaboration builds on a longstanding partnership between Intel and ASU, which has focused on addressing the U.S. semiconductor workforce shortage through initiatives in graduate and undergraduate research, educator training, curriculum development, and experiential learning. The computing donation aligns closely with the broader goal of creating an integrated talent pipeline that spans from K-12 education to higher education, further enhancing the university’s commitment to preparing students for the evolving technology landscape.

See also
David Park
Written By

At AIPressa, my work focuses on discovering how artificial intelligence is transforming the way we learn and teach. I've covered everything from adaptive learning platforms to the debate over ethical AI use in classrooms and universities. My approach: balancing enthusiasm for educational innovation with legitimate concerns about equity and access. When I'm not writing about EdTech, I'm probably exploring new AI tools for educators or reflecting on how technology can truly democratize knowledge without leaving anyone behind.

You May Also Like

AI Technology

Intel launches Core Ultra Series 3 processors in the Philippines, delivering 50 TOPS AI performance and targeting both premium and budget laptop markets.

AI Technology

Intel projects Q2 revenue of up to $14.8B, driven by AI demand for its Xeon CPUs, despite a GAAP loss per share of $0.73...

AI Finance

Nvidia's market cap soars to $5 trillion, fueling a record high in the S&P 500 as AI infrastructure investments surge, with $650 billion expected...

AI Technology

NVIDIA forecasts a $78B revenue for Q1 2026, with analysts predicting a 119% stock upside amid surging demand for AI chips despite geopolitical risks.

AI Technology

Intel's robust sales forecast of up to $14.8 billion for June, driven by soaring AI demand, propelled shares 20% higher to record levels.

AI Generative

Intel enhances AI inferencing with vllm-0.14.0-b8.2, officially supporting the Arc Pro B70 GPU, featuring 32GB VRAM for under $1,000.

AI Technology

Intel launches Core Ultra Series 3 processors in Malaysia, delivering up to 47% faster performance for AI-enabled laptops from top brands like ASUS and...

AI Education

Colleges increasingly adopt AI for student advising to enhance support but warn it risks limiting student agency and exploration, highlighting a crucial balancing act.

© 2025 AIPressa · Part of Buzzora Media · All rights reserved. This website provides general news and educational content for informational purposes only. While we strive for accuracy, we do not guarantee the completeness or reliability of the information presented. The content should not be considered professional advice of any kind. Readers are encouraged to verify facts and consult appropriate experts when needed. We are not responsible for any loss or inconvenience resulting from the use of information on this site. Some images used on this website are generated with artificial intelligence and are illustrative in nature. They may not accurately represent the products, people, or events described in the articles.