Powering Scalable AI with Heterogeneous Computing

As AI shifts from experimentation to enterprise-wide execution, organizations need a strong, scalable foundation that spans edge, data center, and cloud. Heterogeneous computing—leveraging CPUs, GPUs, and accelerators together—is emerging as the key to unlocking this transformation.
Through a strategic collaboration, Intel and Wipro are enabling enterprises to build practical, scalable AI solutions by combining advanced hardware capabilities with deep consulting and integration expertise. From edge AI to chip design and platform engineering, this partnership is helping organizations operationalize AI across complex environments.
However, challenges remain—ranging from fragmented AI workloads and platform complexity to talent gaps, ROI uncertainty, and data governance concerns. A platform-based approach, supported by unified AI/ML ops, observability, and security, is critical to overcoming these barriers.
By aligning the right infrastructure with business needs, enterprises can move toward intelligent, secure, and integrated AI ecosystems.
Watch the video featuring Mayur Shah (Wipro) and Amit Biswas (Intel) with Yogesh Gupta (Foundry) as they share insights on building a future-ready AI foundation and accelerating innovation with heterogeneous computing.