INTERVIEW: Bluespec RISC-V soft cores in Achronix FPGAs

INTERVIEW: Bluespec RISC-V soft cores in Achronix FPGAs
by Don Dingee on 06-13-2024 at 6:00 am

Achronix Bluespec partnership highlights

Recently, a partnership between Achronix and Bluespec has been in the news. Bluespec RISC-V processors are available as soft cores in a Speedster®7t FPGA on Achronix’s VectorPath® PCIe development card or in a standalone Speedster7t FPGA. We spoke with executives from Achronix and Bluespec about the impetus for this effort … Read More


WEBINAR: FPGAs for Real-Time Machine Learning Inference

WEBINAR: FPGAs for Real-Time Machine Learning Inference
by Don Dingee on 11-30-2022 at 6:00 am

An server plus an accelerator with FPGAs for real-time machine learning inference reduces costs and energy consumption up to 90 percent

With AI applications proliferating, many designers are looking for ways to reduce server footprints in data centers – and turning to FPGA-based accelerator cards for the job. In a 20-minute session, Salvador Alvarez, Sr. Manager of Product Planning at Achronix, provides insight on the potential of FPGAs for real-time machine… Read More


WEBINAR The Rise of the SmartNIC

WEBINAR The Rise of the SmartNIC
by Don Dingee on 09-08-2022 at 10:00 am

Achronix Webinar - Rise of the SmartNIC

A recent live discussion between experts Scott Schweitzer, Director of SmartNIC Product Planning with Achronix, and Jon Sreekanth, CTO of Accolade Technology, looked at the idea behind the rise of the SmartNIC and ran an “ask us anything” session fielding audience questions about the technology and its use cases.

Three phases

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A clear VectorPath when AI inference models are uncertain

A clear VectorPath when AI inference models are uncertain
by Don Dingee on 08-22-2022 at 10:00 am

Achronix VectorPath Accelerator Card with Speedster 7t1500 FPGA for running AI inference models and more

The chase to add artificial intelligence (AI) into many complex applications is surfacing a new trend. There’s a sense these applications need a lot of AI inference operations, but very few architects can say precisely what those operations will do. Self-driving may be the best example, where improved AI model research and discovery… Read More


Webinar – FPGA Native Block Floating Point for Optimizing AI/ML Workloads

Webinar – FPGA Native Block Floating Point for Optimizing AI/ML Workloads
by Tom Simon on 02-25-2020 at 10:00 am

block float example

Block floating point (BFP) has been around for a while but is just now starting to be seen as a very useful technique for performing machine learning operations. It’s worth pointing out up front that bfloat is not the same thing. BFP combines the efficiency of fixed point operations and also offers the dynamic range of full floating… Read More