Rapt AI and AMD have joined forces in a strategic collaboration aimed at revolutionizing AI infrastructure management. The partnership focuses on enhancing AI inference and training workload management and performance on AMD Instinct GPUs. With the rapid adoption of AI technologies, organizations are facing challenges related to resource allocation, performance bottlenecks, and the complexities of GPU management.
By integrating Rapt’s intelligent workload automation platform with AMD Instinct GPUs such as MI300X, MI325X, and the upcoming MI350 series, customers can benefit from a scalable, high-performance, and cost-effective solution. This collaboration enables organizations to maximize AI inference and training efficiency across various infrastructures, including on-premises and multi-cloud environments.
AMD Instinct GPUs are known for their industry-leading memory capacity, and when combined with Rapt’s intelligent resource optimization, they ensure maximum GPU utilization for AI workloads while reducing the total cost of ownership. Rapt’s platform simplifies GPU management, allowing data scientists to focus on innovation rather than infrastructure configurations.
With the Rapt platform, job density and resource allocation on AMD Instinct GPUs are optimized, resulting in improved inference performance and scalability for AI deployments in production environments. The platform’s auto-scaling capabilities help ensure efficient resource utilization based on demand, thereby reducing latency and maximizing cost efficiency.
Moreover, the collaboration between Rapt and AMD is set to enhance optimization in areas such as GPU scheduling and memory utilization. This ongoing partnership aims to equip customers with a future-ready AI infrastructure that delivers immediate performance benefits and ensures greater efficiency, flexibility, and cost savings.
Negin Oliver, corporate vice president of business development, Data Center GPU Business at AMD, emphasized the commitment to delivering high-performance, scalable AI solutions that empower organizations to unleash the full potential of their AI workloads. Charlie Leeming, CEO of Rapt, highlighted the transformative impact of the collaboration with AMD on AI infrastructure management, driving better performance, cost efficiency, and faster time to value for customers.