Enflame Cloud Blazer POD P2010
Enflame's single-cabinet training appliance, branded Cloud Blazer POD and described in the company's STAR Market prospectus as a single-cabinet, single-compute-node device that forms the smallest unit of a compute cluster. It integrates 32 Yunsui T20 accelerators across four to eight AI servers, each server carrying eight cards. The filing lists it for training, air-cooled, with a PUE of 1.30 or better for the inference model and 1.25 or better for this one. Its 1TB of accelerator memory matches 32 cards at 32 GB exactly. Enflame publishes no throughput figure for this product or for the cards inside it.
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System Details
GPU Configuration
System Specifications
Powered by Enflame Yunsui T20
This system utilizes 32 × Enflame Yunsui T20 GPUs, each delivering exceptional performance for AI and HPC workloads.
Per GPU TDP
300W
Per GPU Memory
32 GB
Process Node
GlobalFoundries 12nm
Architecture
GCU / DTU 2.0
Related Systems
Documentation & Resources
Official Datasheet
Enflame Cloud Blazer POD P2010 technical specifications
Typical Use Cases
The Enflame Cloud Blazer POD P2010 runs 32× Yunsui T20 GPUs over Two 200Gb/s links between compute nodes, as filed. The prospectus describes the cabinet as four to eight AI servers and several network switches joined by high-speed cabling; it gives no scale-up fabric for the accelerators..