An organization planning AI and computational workloads required infrastructure capable of supporting Large GPU-intensive processing beyond conventional enterprise server environments.
An organization planning AI and computational workloads required infrastructure capable of supporting Large GPU-intensive processing beyond conventional enterprise server environments.
AI infrastructure places significant demands on compute density, GPU resources, storage throughput, networking, cooling and power.
Selecting a GPU alone therefore does not create an effective AI platform.
The architecture needed to address:
SANSO developed an accelerated-computing architecture combining enterprise GPU servers with appropriate CPU, memory, storage and networking infrastructure.
The design considered workload requirements and the interaction between compute, network, storage, power and thermal capacity.
The proposed infrastructure provided a structured foundation for GPU Dense AI development, inference and high-performance computational workloads while allowing future expansion.