AI
Inferring The Future Of The FPGA, And Then Making It
Technologies often start out in one place and then find themselves in another. …
Xilinx
Compute
System And Chip Architecture Shifts To A Heterogeneous World
Sometimes, if you stick around long enough in business, the market will come to you. …
AI
Xilinx Unveils xDNN FPGA Architecture for AI Inference
FPGAs might not have carved out a niche in the deep learning training space the way some might have expected but the low power, high frequency needs of AI inference fit the curve of reprogrammable hardware quite well. …
Compute
FPGA Maker Xilinx Says the Future of Computing is ACAP
The field programmable gate space is heating up with new use cases driven by everything from emerging network, IoT, and application acceleration trends. …
AI
FPGA Interconnect Boosted In Concert With Compute
To keep their niche in computing, field programmable gate arrays not only need to stay on the cutting edge of chip manufacturing processes. …
AI
An Early Look at Baidu’s Custom AI and Analytics Processor
In the U.S. it is easy to focus on our native hyperscale companies (Google, Amazon, Facebook, etc.) …
AI
Wrenching Efficiency Out of Custom Deep Learning Accelerators
Custom accelerators for neural network training have garnered plenty of attention in the last couple of years, but without significant software footwork, many are still difficult to program and could leave efficiencies on the table. …
AI
FPGA Startup Gathers Funding Force for Merged Hyperscale Inference
Around this time last year, we delved into a new FPGA-based architecture that targeted efficient, scalable machine learning inference from startup DeePhi Tech. …
Compute
The Case For IBM Buying Nvidia, Xilinx, And Mellanox
We spend a lot of time contemplating what technologies will be deployed at the heart of servers, storage, and networks and thereby form the foundation of the next successive generations of platforms in the datacenter for running applications old and new. …
AI
FPGAs Focal Point for Efficient Neural Network Inference
Over the last couple of years, we have focused extensively on the hardware required for training deep neural networks and other machine learning algorithms. …