Accelerating Data Science

Emerging cloud applications like machine learning, AI and big data analytics require high performance computing systems that can sustain the increased amount of data processing without consuming excessive power. Towards this end, many cloud operators have started adopting heterogeneous infrastructures deploying hardware accelerators, like FPGAs, to increase the performance of computational intensive tasks. However, most hardware accelerators lack of programming efficiency as they are programmed using not-so widely used languages like OpenCL, VHDL and HLS.

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InAccel at XDF 2018

Inaccel presented the new version of the scalable accelerators for Apache Spark on October 2nd at Xilinx's premier event XDF in San Jose. The new version of the ML accelerators for Apache Spark are scalable to a high number of FPGA nodes without and it is fully integrated with Spark. The new version of the accelerators in the cloud allows up to 3x speedup and 2x lower OpEx compared to contemporary processors.

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Press Release

Athens, Greece (July 5, 2018) - InAccel Inc. (, provider of FPGA accelerators on the cloud, announces today the completion of a $600,000 seed investment round by Marathon Venture Capital ( InAccel will use the investment to accelerate product development and distribution of its flagship products across public cloud vendors.

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