InAccel’s Accelerated ML suite boosts Spark ML as much as 7x using Intel’s® Arria® FPGAs
The IP cores for logistic regression and K-means clustering leverage the processing power of the Intel FPGAs to speedup the training of these algorithms. The IP core is optimized for the Intel® FPGAs (e.g. Arria® 10) available as instances on Alibaba cloud.
Read moreInAccel Accelerates XGboost and releases the IP core for FPGAs
InAccel has released today as open-source the FPGA IP core for the training of XGboost. The FPGA accelerated solution for the XGBoost algorithm is based on the Exact (Greedy) algorithm for tree creation. It can provide up to 26x speedup compared to a single threaded execution and up to 5x compared to an 8 threaded CPU execution respectively
Read moreInAccel releases world’s first universal bitstream repository for FPGAs based on JFrog
InAccel, a company specialized on FPGA accelerators, developed world’s first bitstream repository for FPGAs based on the JFrog artifactory.
Read moreInAccel releases open-source Logistic Regression IP core for FPGAs
InAccel has released today as open-source the FPGA IP core for the training of logistic regression algorithms. The accelerated FPGA IP core offers up to 70x speedup compared to a single threaded execution and up to 12x compared to an 8-core general purpose CPU execution respectively.
Read moreInAccel releases world's first FPGA orchestrator
InAccel, a start-up company specialized on accelerators for machine learning, has released today the latest version of the Coral FPGA resource manager that allows the software community to instantiate and utilize a cluster of FPGAs with the same easy as invoking typical software functions. InAccel’s Coral FPGA resource manager allows multiple applications to share and utilize a cluster of FPGAs in the same node (server) without worrying about the scheduling, load balancing and the resource management of each FPGA.
Read moreFPGAs goes serverless on kubernetes
01Aug InAccel’s Accelerated ML suite boosts Spark ML as much as 7x using Intel’s® Arria® FPGAs The IP cores for logistic regression and K-means clustering leverage the processing power of the Intel FPGAs to speedup the training of these algorithms. The IP core is optimized for the Intel® FPGAs (e.g. Arria® 10) available as instances […]
Read moreHow to save over $700k on your next machine learning project
How to save over $700k on your next machine learning project using FPGA-based hardware accelerators and without changing your code at all.
Read moreAccelerated Spark ML on top Microsoft SQL Server 2019 Big Data Cluster
Check how you can run 15x faster your Spark ML applications connected to Microsoft SQL server 2019.
Read moreFPGA meets Apache Arrow
In this article, we introduce a novel framework that allows the seamless integration of FPGAs under Apache Arrow development platform. The integration of FPGA with Apache Arrow-compatible frameworks allows the acceleration of data science applications without any prior experience on FPGAs.
Read moreInAccel releases Coral Resource Manager for seamless deployment of FPGA clusters
InAccel today released the new version of the Coral FPGA resource manager that allow FPGA users to seamlessly deploy and manage FPGA cluster on the cloud or on-premise.
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