inaccel

7 ms·

1. 1.▲
   by inaccel 6y ago

   Regarding DNN inference FPGA can provide low latency AND higher throughput than GPUS. If you want to compare apples-to-apples, we have done a comparison with realistic (and not synthetic) data regarding the performance of GPUs and FPGAs. h
2. 2.▲
   by inaccel 6y ago

   2 are the main challenges of the FPGA utilization: - The first one is the FPGA programming. Now using OpenCL and HLS is much easier compared to VHDL/verilog to design your own accelerators. - The second one is the FPGA deployment and i
3. 3.▲
   Show HN: Zero to FPGAs Using BinderHub (Jupyter and Kubernetes on AWS)(docs.inaccel.com)

   3 points by inaccel 7y ago|0 comments
4. 4.▲
   Show HN: InAccel + JFrog - Enterprise ready FPGA accelerator distribution(docs.inaccel.com)

   7 points by inaccel 7y ago|0 comments
5. 5.▲
   by inaccel 7y ago

   A product for you to build, ship and run FPGA accelerated applications
6. 6.▲
   Program against your FPGA cluster like it's a single pool of accelerators(docs.inaccel.com)

   10 points by inaccel 7y ago|1 comments
7. 7.▲
   InAccel releases an integrated resource manager for FPGA clusters(inaccel.com)

   2 points by inaccel 7y ago|0 comments
8. 8.▲
   by inaccel 7y ago

   You are right that the FPGA vendors does not provide so far the right way of abstraction for Computing. That's way at InAccel we developed the FPGA resource manager that allows to instantiate and deploy FPGAs in the same way as you inv