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OSS PCI Express 4.0 Expansion System does AI on the Fly with Eight GPUs

Today One Stop Systems (OSS) announced the availability of a new OSS PCIe 4.0 value expansion system incorporating up to eight of the latest NVIDIA V100S Tensor Core GPU. As the newest member of the company’s AI on the Fly product portfolio, the system delivers data center capabilities to HPC and AI edge deployments in the field or for mobile applications. “The 4U value expansion system adds massive compute capability to any Gen 3 or Gen 4 server via two OSS PCIe x16 Gen 4 links. The links can support an unprecedented 512 Gpbs of aggregated bandwidth to the GPU complex.”

One Stop Systems does AI on the Fly at SC19

In this video from SC19, Jaan Mannik from One Stop Systems describes how the company delivers AI on the Fly. “With AI on the Fly, OSS puts computing and storage resources for the entire AI workflow, not in the datacenter, but on the edge near the sources of data. Applications are emerging for this new AI paradigm in diverse areas including autonomous vehicles, predictive personalized medicine, battlefield command and control, and industrial automation.”

One Stop Systems Showcases ‘AI on the Fly’ at ISC 2019

In this video from ISC 2019, Jan Mannik from One Stop Systems describes how the company delivers “AI on the Fly.” “The next killer application for High Performance Computing technology with the range and skill set required to deliver effective solutions that not many technology vendors acquire. The demand for these solutions is expanding rapidly with the ever increasing utility of artificial intelligence applications across a wide set of industries.”

‘AI on the Fly’: Moving AI Compute and Storage to the Data Source

The impact of AI is just starting to be realized across a broad spectrum of industries. Tim Miller, Vice President Strategic Development at One Stop Systems (OSS), highlights a new approach — ‘AI on the Fly’ — where specialized high-performance accelerated computing resources for deep learning training move to the field near the data source. Moving AI computation to the data is another important step in realizing the full potential of AI.