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Accelerated Deep Learning Inference using FPGAs from your browser

Any user can now enjoy the speedup of the FPGA accelerators from their browser. In the DL example we show how users can enjoy much faster ResNet50 inference from the same Keras python notebook with zero code changes.

Deploying FPGAs over OpenShift for accelerated Machine Learning

InAccel, a pioneer on the domain of application accelerations, has released today the easiest way to utilize FPGA-based accelerators over OpenShift. InAccel has developed a unique FPGA orchestrator that abstracts away the FPGA resources making much easier the deployment, scaling and automated resource management of the accelerators. Through the power of OpenShift, users can now deploy their applications on the cloud utilizing the power of FPGAs, easier than ever.

Accelerated Machine Learning from your browser

Data scientists and ML engineers can now speedup their applications from their browser using the power of FPGAs. ML developers can now run up to 15x faster their applications on Jupyter notebooks from their browser with zero code changes. ML developers are welcome to evaluate their applications for free on the new InAccel portal. InAccel, a pioneer in making FPGAs accessible and scalable, is providing the benefits of FPGA acceleration and utilization from your browser using the familiar Jupyter platform.

The need of an Accelerator Operating System

InAccel FPGA orchestrator abstracts away the available FPGA resources serving as an OS layer and “kubernetes-alike” layer for the applications that need to be deployed on FPGAs. The main advantages that InAccel’s orchestrator offers are easy deployment, automated resource management and instant scaling

Data scientists, ML engineers and HPC users can now speedup their applications using the power of FPGAs from their browser. InAccel has made available as a demo a framework that allow any user to instantly log in in the platform and start accessing the Xilinx Vitis™ libraries on a cluster of Alveo™ cards. The framework is built on top of Jupyter Hub.

InAccel FPGA Operator: Simplifying FPGA management in Kubernetes

Helm is a package manager for Kubernetes that allows developers and operators to more easily package, configure, and deploy applications and services onto Kubernetes clusters. The InAccel FPGA Operator is a Helm chart deployed, cloud-native method to standardize and automate the deployment of all necessary components for provisioning FPGA-enabled Kubernetes systems.

FPGA integration easier than ever

InAccel has developed a unique FPGA orchestrator that allows easy deployment, instant scaling and dynamic resource management of the FPGA clusters. InAccel’s FPGA orchestrator allows the deployment of FPGAs as a Platform ready to be used by the software developers just like any other computing system. InAccel FPGA orchestrator abstracts away the available FPGA resources serving as an OS layer and “kubernetes-alike” layer for the applications that need to be deployed on FPGAs allowing easy integration with any framework.

What FPGAs can learn from the CPU and the GPU world: Automatic deployment, scaling and dynamic resource management

Accelerate ML workflows with Kubeflow using InAccel FPGA orchestrator

In this article we show how Kubeflow can be used to perform a design space exploration and hyper parameter tuning faster using Kubeflow and utilizing the power of FPGAs.

FPGA deployment and scaling on distributed systems; the missing layer

, InAccel developed world-first FPGA orchestrator that allows easy deployment, instant scaling and seamless resource management of the FPGA clusters. InAccel’s FPGA orchestrator allows the deployment of FPGAs as a Platform ready to be used by the software developers just like any other computing system. InAccel FPGA orchestrator abstracts away the available FPGA resources serving as an OS layer and “kubernetes-alike” layer for the applications that need to be deployed on FPGAs.