Edgecore Networks has launched the AGS8200 AI server, designed to meet the needs of AI (Artificial Intelligence) and ML (Machine Learning) applications. This GPU-based server is suitable for training large language models, automation, and object classification and recognition tasks. The AGS8200 aims to enhance performance and efficiency for users in the AI and ML fields.
The AGS8200 is built with eight Intel Habana Gaudi 2 processors and dual 4th Gen Xeon Scalable Sapphire-Rapids processors. The Gaudi 2 processor features 96GB HBM2E memory and 24 NICs of 100Gbps RoCEv2 RDMA, offering strong connectivity and scalability for deep learning processes. The server’s design allows for seamless training across all eight Gaudi 2 processors without needing an external Ethernet switch.
Additionally, the AGS8200 supports six QSFP-DD ports for scale-out, connecting to 400Gbps switches or 800Gbps switches via breakout cables. This makes it a practical choice for integrating into racks and clusters of Intel Gaudi 2-based nodes, optimizing AI/ML connectivity. The server is available for purchase through Edgecore Networks and its authorized distributors, making advanced AI technology accessible to businesses and research institutions.
Key Features of the AGS8200:
- Powered by the Intel Gaudi 2 AI accelerator, the AGS8200 is suitable for training and inferencing large language models (LLM).
- The Intel Gaudi 2 processors are designed for efficient heat dissipation and energy use, offering cost benefits.
- Edgecore’s commitment to open and optimized hardware and software supports initiatives like OCP, TIP, and SONiC.
- The server’s 24 x 100Gbps NICs and 21 x 100Gbps non-blocking connectivity support robust internal and external scale-out.
- Six QSFP-DD ports enable the AGS8200 to connect to high-speed switches, ensuring scalability in AI/ML environments.
- The AGS8200 is available for purchase, providing access to advanced AI technology through Edgecore Networks and its authorized distributors.
