Open-Source 100G NIC IP from Corundum
Go Back to IP & Solutions Corundum Open-Source 100G NIC IP Core Jump-start your SmartNIC project with the open-source Corundum IP core! It’s got the
A lot has changed in a few years with AI/ML models and inference. The hardware that’s great at crunching training algorithms can fall behind in latency and utilization for real-time, batch size 1 inference. Deep learning models have gotten more complex, requiring new approaches for real-time applications to keep up.
The good new is, as machine learning has matured, acceleration technology has gotten smarter—and more efficient. These are both on a silicon level, such as using dedicated ASIC devices, and in a design approach—like using 8-bit integers for connections.
BittWare, a brand that’s been trusted for over thirty years to bring the best acceleration technology to market, has assembled an ecosystem FPGA- and ASIC-based AI solutions that are optimized for inference.
Whether it’s scaling up a CPU- or GPU-based system to the latest datacenter-grade tensor processor or getting every last watt of performance using an edge-focused solution, we have what you need to reduce risk and get to market faster.
Where do BittWare AI/ML customers deploy?
For some partners we are also supplying development platforms used to evaluate their technology
Our Partner Program ecosystem includes a range of AI/ML inference options, from next-gen ASIC-based cards to IP for development on FPGAs.
We look at the inference of neural networks on FPGA devices, illustrating their strengths and weaknesses.
Programming Stratix 10 using OpenCL for machine learning. Topics Covered: OpenCL, machine learning, Stratix 10.
Using variable precision in FPGAs to build better machine learning inference networks. Topics Covered: machine learning, application tailoring, Arria 10.
Go Back to IP & Solutions Corundum Open-Source 100G NIC IP Core Jump-start your SmartNIC project with the open-source Corundum IP core! It’s got the
IA-780i 400G + PCIe Gen5 Single-Width Card Compact 400G Card with the Power of Agilex The Intel Agilex 7 I-Series FPGAs are optimized for applications
White Paper Comparing FPGA RTL to HLS C/C++ using a Networking Example Overview Most FPGA programmers believe that high-level tools always emit larger bitstreams as
PCIe FPGA Card 520NX Stratix 10 AI-optimized FPGA with HBM2 AI-Optimized for High-Bandwidth, Low-Latency AI Acceleration Obsolete Product Notice: This is an obsolete product and