Kyndryl, Nvidia team up on enterprise Gen AI offerings

IT infrastructure provider Kyndryl has partnered with Nvidia to help enterprises better implement AI-powered projects. The company stated that while business users are increasingly discussing generative AI, uncertainty about capitalizing on the technology remains. This collaboration offers organizations the capabilities to expedite development and ensure its usefulness in a real-life setting.
 
This marks Kyndryl’s first working agreement with Nvidia. In February, it announced a similar partnership with Google Cloud, integrating its technology with Google’s Cortex Framework and Gemini.
 
The partnership aims to provide a combination of technology and services to help customers quickly scale generative AI solutions and serve as a source of knowledge for their continued adoption. For instance, as part of the collaboration, Kyndryl’s AI-powered open integration digital business platform, Kyndryl Bridge, is being merged with Nvidia AI to optimize AIOps on Nvidia Tensor Core GPUs to quickly process failure prediction and analysis, along with comprehensive insights to reduce network and infrastructure failure.
 
“We’re excited to collaborate with NVIDIA to provide the building blocks and expertise customers need to fully unleash the potential of generative AI throughout their businesses,” said Hidayatullah Shaikh, vice president of software engineering, Kyndryl Bridge. “By combining Nvidia’s generative AI software with Kyndryl’s capabilities, we’re uniquely positioned to help address and resolve the biggest pain points for customers seeking to integrate AI across their hybrid IT estates.”
 
The company mentioned that it will utilize the domain and industry expertise of Kyndryl Consult to expedite the ability to test, verify, and deploy generative AI offerings, as well as enable faster application development. Moreover, the offering can be tailored to enterprise environments due to the integration of retrieval-augmented generation (RAG) capabilities with Nvidia NeMo Retriever microservices.
 
Kyndryl highlighted that organizations will be able to enhance generative AI performance, accelerate customer adoption across industries, and create value for their customers through the Consult and Managed Services generative AI offerings that facilitate integrated solutions. Customers will also benefit from GPU-aware workload placement to boost performance and insights supporting energy-efficient generative AI workloads, as well as enhance the performance of generative AI applications like chatbots.
 
“As generative AI can scale productivity and insight for companies across industries, many organizations are seeking experts to help them quickly integrate AI applications into their operations,” said John Fanelli, vice president of enterprise software at Nvidia. “Kyndryl’s solutions and expertise in integrating full-stack Nvidia AI can help customers rapidly establish and scale their AI strategies,” he added.
 
In recent times, big players, including Microsoft, with Copilot, Google, with Gemini, and OpenAI, with GPT-4o, are making AI chatbot technology previously restricted to test labs more accessible to business executives and general public. 

IBM's Global AI Adoption Index, published in January, revealed that enterprise-scale companies have actively deployed AI in their business. According to the index, which surveyed over 8,500 IT professionals across 20 countries, 59% of enterprises are already working with AI and intend to accelerate and increase investment in the technology. Despite the extensive enterprise AI adoption, ongoing challenges for AI adoption in enterprises persist, ranging from hiring employees with the right skill sets to data complexity and ethical concerns.
 
Meanwhile, India leads globally in adopting GenAI technologies, with a significant percentage of organizations incorporating GenAI into operations. A report by search analytics firm Elastic, published earlier this month, which gathered insights from 3,200 IT decision-makers and influencers across sectors in the US, Europe, and Asia-Pacific, revealed that a majority of the populace expects increased investments and budget allocations towards Gen AI in the next 2-3 years. In the Asia Pacific and Japan region, 1,200 were surveyed, including 300 from India.
 
According to the report, about 94% of respondents anticipate increased investments and budget allocations towards GenAI initiatives in the next 2-3 years, despite concerns about processing and using their data.