Hewlett Packard Enterprise Partners with Skild AI to Revolutionize Robotic Intelligence

In a groundbreaking press release dated March 13, 2025, Hewlett Packard Enterprise Co. (NYSE: HPE) announced its partnership with Skild AI, a company dedicated to developing advanced AI foundation models and software for robotic applications. This collaboration promises to accelerate the engineering operations of Skild AI through a secure, private AI-as-a-service solution provided by STN, which includes state-of-the-art AI servers and storage solutions from HPE. The focus of this initiative is to enhance the development of artificial general intelligence (AGI) rooted in real-world scenarios, marking a significant leap in the field of robotics.

Unlike traditional robotic systems that rely on pre-programmed tasks, Skild AI is pioneering a new approach with its creation of the Skild Brain. This AI-driven, learning-based solution is designed to adapt and perform across a myriad of scenarios, tasks, and devices. The Skild Brain differentiates itself by dynamically collecting real-time data, mimicking the human brain's ability to gather information continuously. This innovative methodology allows for simultaneous modeling and inferencing, a departure from conventional AI training methods that use static data.

Trish Damkroger, Senior Vice President and General Manager of HPC & AI Infrastructure Solutions at HPE, commented, “AI creators, like Skild AI, are taking innovation to the next level and require solutions that help them build breakthrough technologies while being time-to-market.” She expressed enthusiasm about empowering Skild AI to create transformative AI using HPE's purpose-built solutions and services.

Deepak Pathak, CEO of Skild AI, elaborated on the company's vision, stating, “In contrast with traditional pre-programmed robotics systems, we’re building all-purpose intelligence grounded in the physical world.” This approach aims to develop decision-makers that surpass today’s digitally focused AI, effectively merging both digital and physical intelligence to create a truly autonomous AI agent.

In its pursuit of advanced AI capabilities, Skild AI transitioned from public cloud solutions to a more robust infrastructure facilitated by STN, an HPE Partner Ready Service Provider. This partnership leverages STN’s GPU One service, which is based on HPE AI infrastructure and NVIDIA accelerated computing. This infrastructure enables Skild AI to execute increasingly sophisticated AI training and inferencing workloads, essential for marrying digital and physical intelligence.

The AI solution comprises HPE Cray XD670 systems powered by NVIDIA HGX H200, which significantly accelerate large language model training and natural language processing tasks. Furthermore, the integration of HPE ProLiant Compute DL380a Gen12 servers featuring NVIDIA L40S helps visualize complex AI models, allowing Skild AI to efficiently test and refine its innovative solutions.

The initial deployment of the Skild Brain technology is aimed at sectors such as construction, manufacturing, and security. Skild AI envisions scaling this infrastructure into an "AI factory" that integrates both training and production capabilities, potentially revolutionizing how robots operate in these critical industries.

Abhinav Gupta, President of Skild AI, emphasized the importance of collaboration with HPE, stating, “As the Skild Brain must perform AI tasks in the physical world at significantly higher speeds than most applications, the seamless collaboration between HPE, STN, and NVIDIA is critical for providing us with the customizable and scalable resources we need.”

The partnership between Hewlett Packard Enterprise and Skild AI represents a significant step toward the future of robotic intelligence. With the deployment of cutting-edge AI solutions and a commitment to groundbreaking innovation, both companies are poised to redefine the landscape of AI and robotics. As Skild AI continues to advance its technology, the implications for industries reliant on robotics could be profound, paving the way for a new generation of intelligent machines capable of performing complex tasks with unprecedented efficiency and adaptability.