Vollo SDK – low latency streaming inference of ML models on FPGA platforms (vollo.myrtle.ai)

The launch of the Vollo SDK marks a significant advancement for the AI/ML community by enabling low latency streaming inference of machine learning models on FPGA platforms. This innovative SDK allows users to discover the latency achieved by their models without the immediate need for an FPGA or a special license. By utilizing the online Vollo Sandbox, developers can quickly test their models and evaluate performance metrics, fostering an accessible environment for experimenting with streaming inference. For those who prefer offline evaluation, the Vollo SDK can also be downloaded for local installation, making it a versatile tool for developers at various stages of their projects. The emphasis on low latency streaming is particularly crucial as industries increasingly demand real-time data processing capabilities. By streamlining the inference process on FPGA platforms, Vollo has the potential to enhance application performance across sectors such as healthcare, finance, and autonomous systems, paving the way for more efficient and responsive AI solutions.