AMD

At AIforge, we offer cutting-edge AMD cluster designs tailored to leverage the extraordinary capabilities of the MI300X and other advanced AMD GPUs. Our cluster architecture is optimized to provide exceptional performance, scalability, and efficiency, enabling enterprises to handle the most complex AI workloads with ease. Each cluster is designed to maximize computational power and flexibility, ensuring seamless integration and robust performance for advanced AI research, development, and deployment. With AIforge's AMD cluster design, stay ahead in the AI race and achieve unparalleled results.

Fully optimized for the industry-standard OCP Accelerated Module (OAM) form factor, this system provides unparalleled flexibility for rapidly-evolving AI infrastructure requirements and simplifies deployment at scale. A massive pool of 1.5 TB HBM3 per server node erases AI training bottlenecks by containing even extremely-large LLMs within its physical GPU memory, minimizing training time and maximizing the number of concurrent inference instances per node. Designed with full scalability in mind, the system supports 8 high-speed 400G networking cards providing direct connectivity to each GPU for massive AI training clusters.

Targeting accelerated HPC workloads, this 2U 4-way multi-APU system with liquid cooling integrates 4 AMD Instinct™ MI300A accelerators. Each APU combines high-performance AMD CPU, GPU and HBM3 memory for a total of 912 AMD CDNA™ 3 GPU compute units and 96 “Zen 4” cores in one system. Supermicro's direct-to-chip custom liquid-cooling technology enables exceptional TCO with over 51% data center energy cost savings. Furthermore, there is a 70% reduction in fans compared to air-cooled solutions. The rack-scale integration optimized with the dual AIOM and 400G networking creates a high-density supercomputing cluster with up to 21 2U systems in a 48U rack.