Blog

27Aug

Automated deployment, scaling and management of FPGA clusters: the easy way

Coral is a scalable, reliable and fault-tolerant distributed acceleration system responsible for monitoring, virtualizing and orchestrating clusters of FPGAs. Coral also introduces high-level abstractions by exposing FPGAs as a single pool of accelerators to any application developer that she can easily invoke through simple API calls. Finally, Coral runs as a microservice and is able to run on top of other state-of-the-art resource managers like Hadoop YARN and Kubernetes.

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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 on Alibaba cloud.

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31Jul

InAccel 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

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18Jul

InAccel 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.

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28Jun

InAccel 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.

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26Jun

InAccel 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.

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03Jun

FPGAs goes serverless on kubernetes

31Oct Accelerating Spark ML over SQL Server 2019 Big Data Cluster, instantly Read more 27Aug Automated deployment, scaling and management of FPGA clusters: the easy way Coral is a scalable, reliable and fault-tolerant distributed acceleration system responsible for monitoring, virtualizing and orchestrating clusters of FPGAs. Coral also introduces high-level abstractions by exposing FPGAs as a […]

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13May

How 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.

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10Apr

Accelerated 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.

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