UbiOps, a leading AI and machine learning deployment and serving platform, is thrilled to announce its collaboration with ecosystem partner AMD
UbiOps today announced that it will transform how enterprises deploy and scale AI models using solutions from ecosystem partner AMD. By integrating AMD Instinct™ GPU accelerators into UbiOps’ AI orchestration platform, this collaboration will provide businesses with a powerful, flexible solution for managing AI workloads seamlessly across on-premise, hybrid, and multi-cloud environments.
With this collaboration, UbiOps reaffirms its commitment to delivering top-tier AI deployment and service solutions, empowering data professionals in the rapidly evolving AI space. High-performance computing and graphics solutions from AMD, combined with its focus on innovation and competitive pricing, make this collaboration essential for companies seeking scalable, efficient AI infrastructure.
Accelerating AI Model Deployment by 10x
The solution will address key challenges in AI infrastructure, enabling enterprises to bring AI models to production up to 10 times faster than traditional methods. By leveraging the power of UbiOps platform and the AMD ROCm software stack, data science teams can streamline AI deployment, optimizing GPU performance while allowing them to focus on innovation rather than the complexities of infrastructure management.
Exceptional Performance with AMD Instinct™ GPUs
Known for delivering exceptional performance, AMD Instinct™ GPUs help companies maximize their infrastructure investments. By combining UbiOps’ orchestration capabilities with the cutting-edge hardware and software from AMD, businesses can achieve great AI performance and enable optimal returns on their technology investments.
“As enterprises increasingly adopt multi-vendor strategies, AMD is at the center of it. We are excited to work with UbiOps to optimize and deliver exceptional performance from AMD Instinct™ accelerators along with the robust AI orchestration layer from UbiOps for our customers to rapidly deploy AI models to production and scale with ease.” – Negin Oliver, corporate vice president of business development, Data Center GPU Business, AMD.
Helping AI teams solve the challenge of deploying, serving and orchestrating AI models
A key benefit of the UbiOps-AMD collaboration for AI developers is how UbiOps leverages the AMD ROCm platform. ROCm provides essential tools like GPU drivers, device plugins, and optimized libraries that streamline workload parallelization. UbiOps enhances this by offering pre-built, AMD-optimized container environments, allowing developers to easily integrate their own AI models and software. The platform manages orchestration across infrastructures, simplifying deployment and ensuring optimal GPU usage, freeing developers from complex infrastructure management.
The collaboration also tackles common AI development challenges such as latency, computational power, and data handling. By enabling seamless transitions between on-premise and cloud environments, developers can focus on reducing latency and improving data handling—especially important for those working with sensitive data or adhering to regulations like GDPR. With strong performance from AMD and UbiOps’ optimized orchestration, AI developers gain a powerful, cost-effective solution to scale and deploy their models efficiently
’The UbiOps team is very proud of this collaborative venture alongside AMD as it opens up an exciting era of innovation in the AI and LLM market. We combine our strengths and propositions to deliver a game-changing UbiOps solution to any customer.
The main advantage with this UbiOps solution using AMD Instinct accelerators is that customers who run inference workloads can go to production 10x faster. Customers can easily orchestrate and manage all of their AI workloads and utilize AMD GPU/CPU resources between on-premise, public, hybrid and multi clouds.” – Bart Schneider, CCO at UbiOps
About UbiOps
UbiOps is a powerful AI infrastructure platform designed to help teams deploy and serve the next generation of AI products without the usual engineering complexity. With UbiOps, data scientists can deploy all of their machine learning models as scalable inference APIs, including large, off–the–shelf AI models like LLMs.
Built with scalability, security, and robustness in mind, UbiOps serves as a foundation for many AI applications across different industries.
From LLM agents in cyber security to revolutionary computer vision systems in healthcare and IoT applications in the energy sector. The unique UbiOps hybrid- and multi-cloud orchestration engine helps you deploy, serve, and manage your AI workloads across multiple clouds and on-premise environments.
Learn more about UbiOps, [email protected]