AI model training and inference workloads are forcing the industry to rethink not only how much compute fits in a rack, but how servers are architected from end to end — transforming computing infrastructure as we know it. Explore the IP that enables high-performance, scalable. SANTA CLARA, Calif., April 9, 2026 – Intel Corporation (NASDAQ: INTC) and Google today announced a multiyear collaboration to advance the next generation of AI and cloud infrastructure, reinforcing the critical role of CPUs and custom infrastructure processing units (IPUs) in scaling modern. Intel and Wipro leverage heterogeneous computing to scale AI from edge to cloud, enabling secure, efficient, enterprise-wide transformation with measurable business outcomes. Intel's advanced, heterogeneous hardware capabilities combined with Wipro's consulting and software integration expertise is. A 4 U chassis supports a maximum of eight full-height full-length dual-slot heterogeneous accelerator cards with a maximum power consumption of 350 W or 32 half-height half-length heterogeneous accelerator cards with a maximum power consumption of 75 W. Supports GPUDirect RDMA and Peer-to-Peer. There are gigawatt-scale data centers to be built in the coming years, primarily to support AI workloads (Somala and Cottier, 2025). Heterogeneous computing involves the use of different types of processors (CPU, GPU, FPGA, among others) working together to enhance performance and efficiency, emerging as the future.
