AI 워크로드 자동화 선도 기업 랩트 AI가 AMD와의 전략적 협력을 26일 발표했다.
AMD Instinct GPU 기반 AI 추론 및 훈련 워크로드의 관리 효율성과 성능을 높이는 데 협력한다고 밝혔으며, 확장 가능하고 비용 효율적인 AI 애플리케이션 배포 솔루션을 제공하는 것을 목표했다.
AI-based automation platform integration, goal of efficient AI infrastructure operation
Rapt AI, a leader in AI workload automation, announced a strategic collaboration with AMD on the 26th.
The companies announced that they will collaborate to improve the manageability and performance of AI inference and training workloads based on AMD Instinct GPUs, and aim to provide a scalable and cost-effective AI application deployment solution.
As AI adoption spreads, enterprises are experiencing difficulties in resource allocation, performance bottlenecks, and complex GPU management. Rapt AI integrates an intelligent workload automation platform with AMD Instinct MI300X, MI325X, and the upcoming MI350 series GPUs to drive AI inference and training efficiency in on-premises and multi-cloud environments.
The primary goal of this collaboration is to reduce costs and maximize GPU utilization. By combining the high memory capacity of AMD Instinct GPUs with Rapt’s intelligent resource optimization technology, we expect to increase GPU utilization for AI workloads and reduce total cost of ownership (TCO).
Additionally, Rapt’s platform simplifies GPU management, allowing data scientists to focus on research and development.
The two companies emphasized that their integrated solution optimizes workload density and resource allocation on AMD Instinct GPUs to deliver improved inference performance and scalability. The Rapt platform is compatible with AMD Instinct GPUs out of the box, delivering performance benefits, and we plan to continue working together to drive additional optimizations.
“AMD is committed to delivering high-performance, scalable AI solutions that enable organizations to unleash the full potential of AI workloads,” said Negin Oliver, corporate vice president, AMD. “Our collaboration with Rapt AI combines the advanced capabilities of AMD Instinct GPUs with Rapt’s intelligent workload automation to help customers achieve efficiency, flexibility and cost savings across their AI infrastructure.”
“As more organizations transition to production AI, maximizing infrastructure efficiency and cost-effectiveness has become paramount,” said Anil Ravindranath, CTO. “Raptor AI provides an intelligent AI-based platform that dynamically optimizes resource allocation across the entire ML pipeline, while providing GPU utilization and simplified deployment to deliver scalable, efficient production AI capabilities.”
