Enterprise

Rapt AI AMD Collaboration Optimizes AI Infrastructure with Instinct GPUs

Rapt AI AMD collaboration integrates workload automation with AMD Instinct GPUs to enhance AI infrastructure efficiency and reduce TCO.

Rapt AI has announced a strategic collaboration with AMD to transform the management and performance of AI infrastructure using AMD Instinct GPUs. This partnership addresses organizations’ increasing complexities when managing resource allocation, overcoming performance bottlenecks, and handling advanced GPU configurations as AI adoption accelerates.

This collaboration integrates Rapt AI’s advanced intelligent workload automation platform with AMD’s Instinct GPUs, including the MI300X and MI325X models and the upcoming MI350 series. The goal is to deliver a powerful, highly scalable, cost-effective solution tailored to modern computing needs.

This joint effort allows organizations to streamline operations, improve computational efficiency, and manage complex workloads across diverse environments, including on-premises data centers and multi-cloud infrastructures. By leveraging this solution, businesses can significantly enhance productivity, reduce operational expenses, and maximize their return on investment in artificial intelligence technologies, making it an essential asset in today’s competitive landscape.

A key benefit of this partnership lies in cost reduction achieved through optimal GPU utilization. AMD Instinct GPUs, known for their leading memory capacity and computational capabilities, are paired with Rapt’s intelligent resource optimization technology. This synergy ensures GPUs consistently operate at peak efficiency, reducing the total cost of ownership (TCO) for organizations deploying demanding AI workloads.

Another notable advantage is seamless deployment across diverse environments. Rapt AI’s automation simplifies GPU management, eliminating time-consuming trial-and-error infrastructure configurations that typically burden data scientists. The solution automatically optimizes resource allocation, allowing technical teams to focus on innovation rather than routine infrastructure management. The platform supports multiple GPU environments, including AMD and other brands, providing flexibility for cloud and on-premises deployments from a unified interface.

Additionally, customers can anticipate improved inference performance and greater scalability through intelligent optimization of job density and resource distribution on AMD Instinct GPUs. Rapt AI’s auto-scaling capabilities dynamically manage resources based on demand, reducing latency, enhancing responsiveness, and optimizing costs for production AI deployments.

The collaboration ensures immediate compatibility with AMD Instinct GPUs, facilitating instant performance enhancements. Further, ongoing cooperative efforts between Rapt and AMD are set to advance critical AI infrastructure elements such as GPU scheduling and memory utilization.

Negin Oliver, Corporate Vice President of Business Development, Data Center GPU Business at AMD, highlighted the significance of this collaboration, stating that AMD remains focused on delivering scalable, high-performance AI solutions. Combining AMD Instinct GPUs with Rapt’s intelligent workload automation aligns perfectly with this mission, driving improved infrastructure efficiency, flexibility, and cost-effectiveness.

Charlie Leeming, CEO of Rapt AI, expressed enthusiasm regarding the partnership, emphasizing how optimization for AMD Instinct GPUs will substantially enhance their platform’s capabilities. According to Leeming, this joint effort will significantly boost AI infrastructure management, leading to accelerated innovation and faster returns on investment for customers across industries.

Anil Ravindranath, CTO of Rapt AI, reinforced the critical role of infrastructure efficiency in AI deployments, emphasizing how the tight integration of Rapt’s AI-powered platform with AMD’s powerful GPUs delivers unprecedented GPU utilization and streamlined deployment. Ravindranath noted that organizations could expect enhanced performance, reduced latency, and simplified, scalable management of AI resources.

Through this strategic alliance, Rapt AI and AMD reaffirm their commitment to driving innovation in AI infrastructure management, enhancing performance and operational efficiency to meet the evolving demands of modern enterprises.

Rapt AI

AMD Instinct GPUs

Engage with StorageReview

Newsletter | YouTube | Podcast iTunes/Spotify | Instagram | Twitter | TikTok | RSS Feed

Harold Fritts

I have been in the tech industry since IBM created Selectric. My background, though, is writing. So I decided to get out of the pre-sales biz and return to my roots, doing a bit of writing but still being involved in technology.

Recent Posts

High-Density, All-Flash Data Protection: Quantum Adds New DXi T-Series Models

Quantum all-flash DXi T-Series appliances are the first 1U high-performance deduplication systems supporting up to 480TB of NVMe capacity. (more…)

3 days ago

Broadcom Tomahawk Ultra Switch Targets AI Scale-Up with Lossless Ethernet

Broadcom ships Tomahawk Ultra, a 51.2Tbps switch with 250ns latency and lossless Ethernet, redefining networking for AI and HPC workloads.…

3 days ago

StorageReview: Official Media Sponsor of EUC World Amplify 2025

EUC World Amplify will be hosted in Minneapolis, and the StorageReview team will be on hand to answer questions and…

4 days ago

OpenNebula 7.0 “Phoenix” Ushers in a New Era for Sovereign, AI-Ready, and Edge-Enabled Cloud Infrastructure

OpenNebula has released version 7.0 “Phoenix,” marking a significant leap forward for organizations building sovereign, AI-ready, and edge-enabled cloud environments.…

1 week ago

NVIDIA Unveils Helix Parallelism Enabling 32x Faster AI Inference with Multi-Million Token Contexts

NVIDIA Helix Parallelism boosts real-time LLM performance on Blackwell GPUs, scaling multi-million-token AI with 32x efficiency gains. (more…)

1 week ago

Hypertec TRIDENT iGW610R-G6: Immersion-Born 1U GPU Server for High-Density AI and HPC

Hypertec TRIDENT iGW610R-G6, a 1U server, supports up to four full-height GPUs in a single-phase immersion environment. That's up to…

1 week ago