Rapt AI has announced a strategic partnership with AMD aimed at enhancing AI workload management and performance on AMD Instinct GPUs. The collaboration combines Rapt’s AI-powered workload automation platform with AMD’s high-performance GPUs to provide organizations with more efficient and cost-effective AI infrastructure solutions.
This partnership addresses key challenges organizations face with AI deployment, including resource allocation, performance optimization, and GPU management complexity. By integrating Rapt’s platform with AMD Instinct MI300X, MI325X, and upcoming MI350 series GPUs, customers can expect improved efficiency across both on-premises and multi-cloud environments.
The collaboration offers several key advantages:
- Cost Reduction and GPU Utilization: AMD’s industry-leading memory capacity combined with Rapt’s optimization technology maximizes GPU utilization, helping lower total cost of ownership.
- Simplified Deployment: Rapt’s platform streamlines GPU management across diverse environments through a single instance, allowing data scientists to focus on innovation rather than infrastructure configuration.
- Enhanced Performance: The solution optimizes job density and resource allocation for better inference performance and scalability, with auto-scaling capabilities that reduce latency and improve cost efficiency.
- Future-Ready Infrastructure: Ongoing collaboration between the companies will drive further optimizations in GPU scheduling, memory utilization, and other areas.
Negin Oliver, Corporate VP of Business Development at AMD’s Data Center GPU Business, emphasized their commitment to delivering scalable AI solutions, while Charlie Leeming, Rapt CEO, highlighted how the partnership will transform AI infrastructure management and accelerate innovation across industries.
