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Global AI communications company DeepL is expanding its AI translation and communication capabilities with the installation of an NVIDIA DGX SuperPOD.
DeepL has added a DGX SuperPOD with 68 NVIDIA DGX H100 systems which are supplied by DELTA Computer Products. This is a significant step forward for DeepL, as it is the first commercial deployment of this scale within Europe. Along with other DeepL servers, the new DGX SuperPOD is installed at a green data center in Sweden, which is powered by renewable energy.
Through LINPACK benchmarking, DeepL and NVIDIA reviewed the installation to assess the cluster speed. The benchmark findings will be submitted to the November 2023 edition of the Top 500 fastest commercially available computer systems list. The benchmark yielded a performance of 21.85 PFlop/s—which would place the cluster at #26 in the world on the current Top 500 list (June 2023 edition) and #8 in Europe.
The NVIDIA DGX SuperPOD installation illustrates DeepL’s goal to push technology forward by training large language models (LLMs) to produce the world’s most advanced AI communication tools. The individual servers work in concert to form a supercomputer that enables optimal training of the advanced neural networks that power DeepL’s products.
Each of the DGX systems contains eight NVIDIA H100 Tensor Core GPUs, connected via NVIDIA NVLink interconnects for ultra-fast GPU-to-GPU communication within the server. Between each server, the NVIDIA Quantum-2 InfiniBand networking platform with in-network computing technology ensures that every GPU can communicate with each other in the cluster at maximum network speed. This enables scalable performance and ensures that the compute cluster can be used efficiently in a variety of configurations, including for training large models and running multiple training workloads.
