RDMA IP Core for RoCE v2 from Grovf
BittWare Partner IP Core RDMA Low-Latency RoCE v2 at 100Gbps The GROVF RDMA IP core and host drivers provide RDMA over Converged Ethernet (RoCE v2)
Working alongside CPUs, FPGAs provide part of a heterogeneous approach to computing. For certain workloads, FPGAs provide significant speedup versus CPU—in this case 50x faster for machine learning inference.
FPGAs have a range of tools to best tailor to the application. The hardware fabric adapts to use only what’s needed, including hardened floating-point blocks when required. For BWNN’s weights, we used only a single bit, plus mean scaling factor, and still achieved acceptable accuracy but saving significant resources.
Power per watt is not only important at the edge, it’s in the power budget of datacenters in both space and cost of power. FPGAs can uniquely deliver the latest efficient libraries yet at far lower power per watt than CPUs.
With BittWare’s exclusive optimized OpenCL BSP, you’re able to both tap into software-orientated developers and the latest software libraries. This allowed us to quickly adapt the YOLOv3 framework, which has improved performance over older ML libraries.
We target applications when demand to process storage outpaces traditional architectures featuring CPUs.
FPGAs allow customers to create application-specific hardware implementations that exhibit the following properties:
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BittWare Partner IP Core RDMA Low-Latency RoCE v2 at 100Gbps The GROVF RDMA IP core and host drivers provide RDMA over Converged Ethernet (RoCE v2)
We examine our reference design for sustained 100 Gb/s capture to host DDR4 over a PCIe bus. Read the white paper, then request the App Note for even more detail!
Article FPGA Neural Networks The inference of neural networks on FPGA devices Introduction The ever-increasing connectivity in the world is generating ever-increasing levels of data.
PCIe FPGA Card 520N-MX Stratix 10 FPGA Board with 16GB HBM2 Powerful solution for accelerating memory-bound applications Need a Price Quote? Jump to Pricing Form