InAccel FPGA orchestrator
Automated Deployment,
Scaling and Resource Management
of FPGA clusters
Acceleration made simple
Coral FPGA manager is a framework that allows the distributed acceleration of large data sets across clusters of FPGA resources using simple programming models.
It is designed to scale up from single devices to multiple FPGAs, each offering local computation and storage. It also allows sharing of the resources from multiple applications, processes and users automatically.
- Instant scaling to multiple FPGAs
- Resource sharing from multiple users/applications
- Seamless integration with C/C++, Java, Python
- Instant deployment using docker
- Available on cloud and on-prem
-
Automated Task Scheduling on FPGAs
- Automated Resource Management of FPGAs/kernels
- Monitor tool for FPGA
Instant Scaling
Scale-out your applications to multiple FPGAs on the same server or to multiple servers (using Kubernetes plug-in) without changing your code.
InAccel dispatches the accelerated functions to the FPGA cluster automatically.
It also allows automatically scaling to multiple kernels on the same FPGA.
Resource management
InAccel manager allows seamless sharing of the FPGA resources. from:
– Multiple threads
– Multiple processes
– Multiple applications
– Multiple users
It allows dynamic resource management and scheduling of the accelerated function to the FPGA cluster automatically.
It also allows automatic management of the bitstreams.
Seamless integration
InAccel offers all the required high-level functions (APIs) that make it easy to accelerate your applications by offloading the most computationally intensive tasks to the FPGAs.
No need to modify your application or to use an unfamiliar parallel programming language (like OpenCL).
And you can use it interactively from C/C++, Scala and Python shells.
Bitstream repository
InAccel decouples the bitstreams from the Software developer.
SW developers do not need any more to work with bitstreams.
FPGA Resource Manager automatically fetch the right bitstream based on the requested function invoking and handles the programming and scheduling of the FPGAs.
Deploy FPGAs as easy as any other software library.
FPGA Monitoring
InAccel FPGA orchestrator comes with a unique Monitor tool that allows to get valuable insight on the performance of the kernels in the FPGAs.
The monitor tool can be used to get information for the execution of the accelerators in the FPGAs helping optimize the performance of your applications.
Instant deployment
- Docker
- aws
- Linux
- Python
- Java
Launch a container with InAccel’s Docker image or even deploy it as a daemonset on a Kubernetes cluster and enjoy acceleration services at the drop of a hat.
Deploy your accelerators from Apache Spark, Scikit-learn, Keras, Jupyter notebooks and H2O.
Instant deployment with zero code changes.
Kubernetes on FPGA extends the industry standard container orchestration platform with FPGA acceleration capabilities.
With first class support for FPGA resources scheduling, developers and DevOps engineers can now build, deploy, orchestrate and monitor FPGA-accelerated application deployments on heterogeneous, multi-cloud clusters.
Users
Supported Platforms
InAccel supports all the FPGA boards compatible with the OpenCL frameworks from Xilinx and Intel.
- On-premise
- Alveo U50, U200, U250, U280
- Intel PAC A10 D3000, Stratix 10 D5005
- Cloud
- AWS
- Alibaba Cloud
- Baidu cloud
- Nimbix
What our users say
Click to download the white paper
On-premise
Cloud
Pricing
Community edition
Helping developers build, deploy, and run their accelerated applications.
Free
- APIs in Scala, Java, Python and C++
- Up to 2 servers / 8 FPGAs per server
- Native CLI automation tool
- Bitstream protection mechanism
Enterprise edition
Enabling teams to speed acceleration delivery with security, automation, advanced configuration and workflow.
$300/server/month
- All the features of Community edition plus:
- Unlimited FPGAs per server
- Web UI for monitoring your FPGAs' performance
- Bitstream deployment pipelines
- 24x7 uptime support
