Leveraging heterogeneous computing architecture to power AI solutions

Artificial intelligence has emerged as the most transformative technology shift since the birth of cloud computing. The organisations are witnessing the movement of AI from isolated experiments to integrated, intelligent, and secure workflows that operate across the entire enterprise, from the device level to the cloud. 

With edge becoming a vital component in the tech stack, heterogeneous edge AI is understandably coming of age as organisations leverage the value of AI into their IT infrastructure.

AI and specifically Agentic AI is helping businesses move from experimentation to execution and create measurable value across industries. 

“A mindset change is required by CIOs and tech leaders from the project-based to the platform-based approach that delivers a unified ML ops, AI ops, LLM ops, observability, security as a foundation, followed by the heterogeneous compute aligned to the workloads,” says Mayur Shah, General Manager and Global Head – platform engineering and innovation, Wipro. 

The collaboration between Intel and Wipro involves leveraging Intel’s heterogeneous computing architecture to power Wipro’s AI solutions, particularly at the edge and for chip design.

“Get the foundation right (technology wise) for AI journey from core to cloud to device is first step for CIOs and tech leaders. And Intel has been at the forefront of that transition,” adds Amit Biswas, the Pre-Sales Strategy and Head of Partner Engineering, Intel. 

Synergy of Wipro and Intel

Intel is buoyant on the concept of democratized AI, that collectively brings data present everywhere, generated  from the edge, from the client to the cloud, to the data centre. 

“Intel’s technology delivers the technology roadmap, with Xeon processors, GPU and accelerators, topped with AMX (Advanced Matrix Extensions) and SVS (Scalable Vector Search), that delivers business outcomes. This rightly empowers partners like Wipro, who develop their solutions on top of this infrastructure and deliver as per the market trends,” says Amit.

Wipro and Intel have a track record of one of industry’s best longstanding trusted partnership backed by innovation engineering. 

The partnership combines Intel’s advanced, heterogeneous hardware capabilities with Wipro’s consulting and software integration expertise to deliver practical, scalable AI solutions across various industries, says Mayur at Wipro.

“We have been consistently working with the engineering team of Wipro to build solutions around heterogenous AI stack,“ adds Amit.

Overcoming the Challenges 

The overarching goal for tech leaders and their organisations is moving AI from isolated experiments to integrated, intelligent, and secure workflows across the enterprise, from the device level to the cloud. This strategy involves implementing AI at the edge using a combination of  high-powered hardware (chipsets) and software solutions(backed with IT services model), says Mayur of Wipro.

But many organisations face challenges with the rapid emergence of heterogeneous AI platforms. 

Amit points out, “There is sudden surge of AI workloads, GPU into the picture, the complexity of various models, and the challenge is how to bring in all together, cohesively. An organisation encompasses AI on CPU, GPU, Client, edge, FPGA and these models need to be transferred and framed in a single framework.” 

The heterogenous AI model must be scalable from the edge to the cloud, to the data centres, on-prem and CIOs need the right resources to run it. 

Mayur of Wipro says, “There are plethora of technologies and choices available, hence the right investment at the right time is one big decision for CIOs. And they need a trusted partner who can get all the things in a consultative manner.”

There is also concern of turning enterprise data into an AI model to keep the data governance and ensure that effectiveness, correctness, hallucination etc are real problems as per Amit.

The prime challenges of skill sets, business case justification, ROI and security highlighted by Mayur and Amit, coerce with the findings of 2025 State of the CIO study by Foundry. 

“On the business side, it’s very difficult to forecast TCO and ROI efficiencies, while preparing the business case. While CIOs gear on AI talent with the urgency of rolling out AI solutions, we do see talent crunch in AI, Gen AI and related technologies,” says Mayur at Wipro.

Selecting the technology partner 

This is the appropriate time for organisations as they transition into the AI era, thereby leveraging heterogeneous computing architecture to accelerate their business growth.

Intel and Wipro are leading that space to help organisations leverage heterogeneous computing architecture to power AI solutions.

With Intel’s diverse infrastructure portfolio, coupled with Wipro’s consulting leadership, the engineering depth, as well as the system integration to design custom verticals-led solutions, we are effectively delivering heterogeneous AI solutions into the market, says Mayur.

The pace at which AI is transitioning makes it crucial for CIOs to select a technology implementation partner that encompasses richness, expertise and capability to deliver the solutions as per Amit. He adds, “For example, in the hugging phase, the most downloaded model is Quinn model. And for optimizing such data set and model, tech partners with relevant skill sets, AI practices and solution offerings, are the preferred choice.”

Agentic AI with the right sized workloads in the ecosystem infrastructure will be a major trend in 2026 as per Mayur of Wipro.  

“A sustainable data centre will become prevalent, because with more consumption  of power with application, delivery of AI, agentic AI. If GPUs are not used, power efficiency is need of the hour and hence the equation becomes vital,” states Amit of Intel. 

CIOs and organizations are continuously leveraging heterogeneous computing architecture for successful AI journey and business growth. 

“CIOs and their teams should design for scale, design for platform build thereby fostering innovation from every stakeholder. Importantly, choose the right tech partner who can complement and contribute towards the AI journey along with them,” says Mayur Shah, General Manager and Global Head – platform engineering and innovation at Wipro.