The Inventec C805G7 is purpose-built to meet the growing demands of compute-intensive AI, HPC, and data-driven applications. Designed around the 5th Gen AMD EPYC™ processors, it delivers exceptional core density, memory bandwidth, and scalability for mission-critical workloads. Whether deployed for large-scale AI model training, real-time inference, or advanced scientific simulations, the C805G7 provides the raw performance and efficiency required to accelerate innovation. Its support for up to 500 W per CPU ensures the platform can fully leverage the latest processor advancements while maintaining reliable operation under sustained heavy loads.
High-Bandwidth Architecture with Scalable Acceleration
Built on a flexible, future-ready architecture, the C805G7 maximizes data throughput with DDR5 RDIMM memory running at up to 6400 MT/s (1DPC). The system accommodates up to four FHFL double-slot GPUs, unlocking massive parallel processing capabilities for complex AI, HPC, and simulation workloads. Storage is equally adaptable, supporting up to 24 U.2 NVMe SSDs or 16 SATA HDDs, allowing configurations to be optimized for speed, capacity, or a balance of both. The default high-efficiency air cooling system ensures stable operation in most deployments, while an optional liquid cooling solution is available for customers seeking even greater thermal performance in high-density or high-power environments.
Optimized for AI, HPC, and Data-Intensive Applications
With its 2U1N (single-node) design, the C805G7 is ideal for scenarios that prioritize vertical scaling, minimizing inter-node communication overhead. This makes it a perfect fit for HPC simulations requiring large memory bandwidth, AI workloads where training and inference benefit from local resource consolidation, and high-performance databases that demand rapid, in-node data processing. By combining cutting-edge processor performance with advanced GPU acceleration, flexible storage, and versatile cooling options, the C805G7 empowers organizations to push the boundaries of what is possible in AI and HPC computing.
