NVLink was introduced with the Pascal generation graphics processors in 2016. NVLink was developed to address the bandwidth limitations which the PCI-Express data path imposed as demand for high data throughput continues to accelerate. Since its inception, NVIDIA improved the NVLink implementation and increased its bandwidth capability from a theoretical maximum of 80 GB/s bidirectional data throughput to 100 GB/s found on NVIDIA Quadro RTX 8000 and NVIDIA Quadro RTX 6000 graphics boards. With the latest Ampere architecture-based NVIDIA RTX A6000 professional graphics card, NVLink now provides up to 112GB/s of bidirectional data transfer between two connected NVIDIA RTX A6000 graphics boards.
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Tractica Research forecasts that AI software revenue will reach $36.8 billion by 2020. Any work pushing the technology envelope, from analytics or healthcare, to scientific and technical, even aspects of media and entertainment, has big data at its core. More than 19,000 companies use NVIDIA enabled deep learning, and the Quadro GP100 is an ideal development platform compatible with industry standard workstations.
Only the NVIDIA Quadro GP100 offers the mixed-precision compute performance required for cutting-edge Deep Learning (AI) development, and an active fansink thermal system, a necessity for industry standard workstations that only accept actively cooled boards, not passively cooled products intended for server deployment. Additionally, its fast FP32, FP16 and INT8 performance makes it an ideal desktop workstation solution for developers working on the latest Deep Learning/AI frameworks and associated developer tools.
Exxact has developed the NVLink DevBox, featuring an Intel© Core™ i7 or Xeon™ E5-2600/1600 v3/v4 processor and NVIDIA Quadro GP100 GPUs to harness this technology into a powerful and versatile workstation.