Key Takeaways:<\/p>\n
Intel and Google Cloud announced a collaboration to advance AI infrastructure using Intel Xeon CPUs and custom Google IPUs.
\nThe partnership will focus on optimizing the C4 and N4 VM series, it will provide higher performance and energy efficiency for AI workloads.
\nBy using Intel AMX (Advanced Matrix Extensions), these systems can outperform competitors in key AI benchmarks like ResNet50.<\/p>\n
Deepening the Foundation of AI Computing
\nIntel and Google Cloud announced a collaboration to advance AI infrastructure
\nIntel and Google Cloud announced they are expanding their long term partnership to build the next generation of AI infrastructure. According to the official Intel update, this collaboration centers on merging the latest Intel Xeon Scalable processors with Google\u2019s custom Infrastructure Processing Units (IPUs). This combination is designed to handle large data demands of modern AI, machine learning (ML), and data heavy applications effectively.<\/p>\n
Intel and @Google announce a multiyear collaboration to advance AI and cloud infrastructure.
\n\ud83d\udd39 Intel\u00ae Xeon\u00ae processors continue powering Google Cloud AI, inference, and general-purpose workloads
\n\ud83d\udd39 Expanded co-development of custom ASIC-based IPUs
\n\ud83d\udd39 A balanced, heterogeneous\u2026 pic.twitter.com\/B93MI3NtNl
\n\u2014 Intel News (@intelnews) April 9, 2026<\/p>\n
Better Performance for AI Workloads
\nThe heart of this infrastructure lies in Google Cloud\u2019s C4 and N4 Virtual Machine (VM) series. These machines will use Intel\u2019s advanced hardware to speed up tasks such as image recognition and data processing. An important function is Intel Advanced Matrix Extensions (Intel AMX), a technology built into the CPU that can handle the math needed for AI models. According to Intel\u2019s internal data, these Xeon based VMs showed performance in benchmarks like ResNet50 compared to products from competitors such as AMD. By using Google\u2019s Titanium IPU system to offload networking and storage tasks, the main CPU is free to focus on running AI models.
\nIntel AMX can handle the math needed for AI models
\nThe expansion of the Intel and Google partnership signals a shift to AI hardware in the cloud. In the Agentic Economy, speed and cost are the most important factors for businesses. By combining Intel\u2019s processing power with Google\u2019s security and networking, they are creating a platform that is both scalable and cost effective for enterprise users.
\nRead Next: Intel Joined Elon Musk\u2019s Terafab to Build a 1-Terawatt AI Chip Empire\u00a0
\nA Vision for Long-Term Collaboration
\nThis announcement is part of a much larger, long term relationship between two companies. Intel and Google have worked together on several projects, including the Anthos hybrid cloud, Kubernetes, and 5G edge computing. This focus on AI infrastructure is the next step in their journey. The partnership will make sure that cloud companies can build and deploy their AI agents in the underlying hardware by offering tools that are optimized for security and speed such as Intel TDX for data protection.
\nRead Next: Anthropic Partnered with Google and Broadcom for Multi Gigawatt AI Infrastructure<\/p>\n","protected":false},"excerpt":{"rendered":"