As soon as you install the game you can use all cards for free. Players have the option to play single, match and tag duels in either the ranked or the unranked mode. We add new cards as soon as they are announced. All cards from both TCG and OCG modes are available.

The continuing explosive growth of AI model size and complexity means the appetite for more powerful compute solutions continues to accelerate rapidly.YGOPRO 2 is a free, fully automated Yu-Gi-Oh! Online game. NVIDIA is introducing HGX-2, our latest, most powerful cloud server platform for AI and High-Performance Computing (HPC) workloads, to meet these new requirements. HGX-2 comes with multi-precision computing capabilities, allowing high-precision calculations using FP64 and FP32 for scientific computing and simulations, while also enabling FP16 and INT8 for AI training and inference. Let’s dig deeper into the HGX-2 server architecture. HGX-2 Server Architecture The GPU baseboard We’ll also discuss how we cooperate with ecosystem partners in bringing their HGX-2 based servers to the cloud, walk through the benefits to end-user applications, and discuss platform optimizations targeted for cloud data center deployment. The GPU baseboard represents the key building block to the HGX-2 server platform. The baseboard hosts eight V100 32GB Tensor Core GPUs and six NVSwitches. Each NVSwitch is a fully non-blocking NVLink switch with 18 ports so any port can communicate with any other port at full NVLink speed. Each V100 Tensor Core GPU includes six NVLinks each NVLink routes to one of the six NVSwitches. (More on the Volta GPU architecture can be found here). Each HGX-2 server platform consists of a pair of baseboards with full-speed connectivity offered via 48 NVLink ports between the two baseboards.įigure 1 shows the logical diagram of the dual GPU baseboard sub-system. This topology enables all 16 V100 Tensor Core GPUs to be fully connected every GPU can communicate with any other GPU simultaneously at the full NVLink speed of 300GB/s. #YGOPRO 2 AI SERVER FULL#ĭual GPU baseboard with 16 GPU fully connected at full NVLink speed of 300GB/sįigure 2 shows the physical implementation. The two GPU baseboards connect via passive NVLink bridge PCBs.

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