Sunlight Announces NVIDIA GPU Support, Giving Edge AI a Boost
Summary
However, legacy virtualization and cloud infrastructures cannot deliver the storage IO necessary, resulting in low GPU utilization. They also have a very large footprint, wasting valuable system resources and leading to high costs and poor efficiency, particularly in constrained computing environments at the far edge. Sunlight’s NexVisor drives millions of input-output operations per second (IOPS) per virtualized instance with ease, allowing 100 percent utilization of GPUs and enabling high-density, high-performance cloud at a fraction of the cost and energy consumption offered by legacy virtualization technologies. This is critical for supporting workloads that demand top performance with the smallest possible footprint, including AI at the edge. CEO Kevin Smith said, “We run some of the most demanding workloads for customers on our infrastructure – from AI, deep learning, visualization and simulation, to VFX, animation and rendering.
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