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Interview


What are the benefits of offering NVIDIA Networking? NVIDIA Networking solutions address the exponentially increasing demands for greater computing power efficiency, manageability and scalability required for the HPC, Web 2.0, ML, data analytics and storage markets. PNY Technologies offers a complete end-to-end solution that supports InfiniBand and Ethernet networking technologies. Te end-to-end, GPU-accelerated, InfiniBand and Ethernet-enabled networking solutions allow enterprises to implement a network infrastructure that can support complete implementations from development to deployment with all modern workloads and diverse storage requirements, paving the way for the new era of accelerated computing to maximize your return on investment in AI. We are able to provide the channel with a focused solution distributor, that is able to provide a unified offering on all of NVIDIA’s data centre products, and supported by our specialist solutions architect and field application engineers across Europe. PNY are well placed in the channel to provide the full range of NVIDIA Enterprise GPUs, NVIDIA DGX servers, NVIDIA’s full supporting soſtware stack (virtual compute server, HPC compilers and AI enterprise) the ultra-high speed Infiniband and Ethernet networking fabric combined with the very latest NVIDIA Bluefield-2 Data Processing Units (DPU).


How do you plan to drive business forward in 2022? In recent years the market has evolved immensely and in 2022, we are seeing growth in InfiniBand networking through the sales of NVIDIA DGX SuperPOD, which represents the enterprise data- centre. However, on the Ethernet market, we are planning to push our solutions through more promising markets such as Media & Entertainment, Finance and Fraud Detection.


What are the current issues affecting data centres and how can this be addressed? Over the years, we have seen a shiſt from traditional CPU based servers and processing, to the rapid adoption and expansion of GPUs accelerated workflow in the DC, with the GPU now becoming one of the primary processors in modern data centre environments. As the demand for GPUs increases, the speed and volume of the data being transferred and process within the data centre is growing all the time. Indeed, the computational needs of AI researchers continue to increase as the complexity of Deep Learning (DL) networks and training data grows exponentially. Designing and implementing a large-scale computing infrastructure for AI requires understanding of the computational goals of these researchers in order to build fast, efficient, and cost-effective systems. To


50 | March 2022


build a flexible system that can run a multitude of Deep Learning applications in a scalable manner, organisations need a well-rounded system that includes, at a minimum scalable and powerful node with multiple GPUs, large memory, and fast connections, a high- bandwidth, low-latency HDR InfiniBand (IB) interconnect designed with the capacity and topology to minimise bottlenecks, and a storage server capable of providing maximum performance for the various data structures. Te data centre infrastructure network must also keep pace with the demand for ever higher and higher throughput of data enabling hybrid digital infrastructures, Big Data, AI workflows and the wider adoption of virtual work environments. Eventually, we will encounter fundamental challenges in 2022


due to the supply constraints on GPUs. Tis is down to the global shortages on processors and various other subcomponents, which might lead to slower deployments of broad data centre clusters. Lastly, on a bigger scale, not specifically related to ourselves and NVIDIA based solutions, there is a greater challenge around data security generally within the wider data centre business.


What trends do you think we will see more of in 2022 within the channel? We expect to see higher networking bandwidths, with wider adoption of 400GbE, a larger integration of the DPU into the data centre ecosystem. We expect to see the greater use of mainstream virtual working environments replacing traditional office work spaces and the rise of the Cloud Service Providers (CSP), and an increase demand for Cloud gaming, which in turn will drive enterprise support of the DC. Tis will provide the backbone hardware and infrastructure capable of hosting these platforms. Moreover, the continued expansion of Bigdata and analytics for corporate and enterprise markets, coupled with the rise and maturing of AI in more sectors.


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