“We are excited to collaborate with all our partners to develop exceptional products that will impress customers and make AI accessible to more people as we work towards a brighter future together,” Tan expressed on Tuesday.
The announcements covered AI infrastructure, enterprise computing, and advanced processors.
A highlight was the unveiling of a Rack Scale AI infrastructure platform that integrates Intel Xeon processors with SambaNova’s adaptable dataflow units.
According to Intel, this platform aims to provide high-performance AI inference while enhancing cost and power efficiency.
Rack scale AI represents a method where multiple servers and AI chips are organized and controlled as a unified system, supporting extensive AI workloads through advanced cooling solutions and high-speed data connections to boost performance and efficiency.
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Appearances alongside Tan included Perplexity CEO Aravind Srinivas, Foxconn Chief Product Officer Jerry Hsiao, SambaNova co-founder and CEO Rodrigo Liang, Vista Equity Partners CEO Robert Smith, and various Intel executives at the event organized by the Taiwan External Trade Development Council.
Liang demonstrated how AI workloads can be shared between chips from SambaNova, Intel, and Nvidia, enabling the same AI model to function across varied computing architectures.
Foxconn will offer system integration services and produce CPU-efficient variants for cost-effective AI and data processing tasks.
Srinivas talked about the introduction of Perplexity Computer earlier this year, an AI operating system that employs up to 20 different AI models and manages tools and files while also addressing user privacy concerns.
Intel showcased an entirely disaggregated inference system through Vector Core Compute, an enterprise inference cloud supported by Vista Equity Partners and Cambium Capital.
Additionally, the company announced several strategic partnerships aimed at creating industry-focused AI solutions.
These partnerships include enhanced collaboration with Siemens in industrial automation and semiconductor design, joint efforts with Hitachi in foundry tools and quantum computing, and research initiatives with Echo Neurotechnologies in brain-computer interfaces and neuro-AI technologies.
Biotechnology company Greenstone Biosciences will utilize Intel technologies to expedite AI-driven drug development.
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On the chip front, Intel unveiled its next-generation Xeon 6+ processors, developed using Intel 18A process technology.
The processors are tailored for cloud-native applications, agentic AI workloads, and high-density data centre deployments, focusing on power efficiency and scalability.
The company also reported strong market momentum for its Core Ultra Series 3 processors, now used in over 325 consumer and commercial PC designs.
Intel noted that this processor family is expanding into handheld gaming devices and edge AI applications, with more than 130 customers already implementing the platform for robotics and edge computing solutions.
These announcements align with Intel’s strategy to broaden its footprint in the AI ecosystem, encompassing data centres, cloud infrastructure, PCs, robotics, healthcare, and industrial applications.
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