AMD VEGA Cube (working name), is an unannounced product by the company, which could see the light of the day as a Radeon Instinct deep-learning GPGPU solution. This [grande] coffee mug-sized contraption is four GPU subunit boards making up four sides of a cube (well, cuboid), with two sides making up the air channel, likely with space for a compound heatsink or liquid-cooling block, drawing heat from the GPUs lining the inner walls of the cube. The combined compute power of the VEGA Cube, hence, is 100 TFLOP/s (FP16), or 50 TFLOP/s (FP32, single-precision).

Each GPU board is similar in function to NVIDIA's Tesla P100 NVLink board. It has the GPU, VRM, and a high-speed interconnect. The GPUs here in question could be VEGA 10, a multi-chip module with a 25 TFLOP/s (FP16, 12.5 TFLOP/s FP32) GPU die, and 8 GB of HBM2 memory. There are four such GPU boards facing each other. AMD could deploy its much talked about NVLink-alternative, the GMI Coherent Data Fabric, which enables a 100 GB/s data path between neighboring GPUs. It remains to be seen if AMD makes an actual Radeon Instinct product out of this, or of it will remain a really groovy proof of concept.