Blueshift Memory appoints three advisors
Blueshift Memory has announced the appointment of three new members to its Board of Advisors – Rupert Baines, Dr Ron Black and Guillaume d’Eyssautier.
These recent appointees, along with supercomputing expert Kitrick Sheets, together form the advisory team.
Rupert Baines is a seasoned advisor for startup acceleration, with a track record in monetising semiconductor IP assets as well as successful fundraising and exit. He is currently CMO for Codasip, having previously been CEO at UltraSoC prior to its acquisition by Siemens. Rupert has also held senior positions at Real Wireless, Picochip (later Mindspeed, now Intel), Atlantic Telecom and Analog Devices.
Dr Black is a veteran of the semiconductor industry, having run several international technology businesses in Europe and the US. He is currently the CEO of Codasip, a German RISC-V IP core provider, having previously been CEO of GPU core vendor Imagination Technologies, as well as Rambus, MobiWire, UPEK, and Wavecom.
Guillaume d’Eyssautier is a serial entrepreneur with 45 years of experience in the semiconductor industry. He has held leading positions at several start-ups such as Picochip, as well as with multinational companies including Matra Harris Semiconductors, GEC-Plessey Semiconductors, Rockwell Semiconductor, IBM Technology and Cadence.
“We are delighted to welcome Rupert, Ron and Guillaume to our Board of Advisors,” said Dr Audrey Stone, CEO of Blueshift Memory. “Between them the advisors bring a wealth of business knowledge and experience to assist Blueshift Memory through its growth phase.”
“Our advisors have a perfect mix of technical insight and commercial expertise,” said Peter Marosan, Founder and CTO of Blueshift Memory. “Collectively they combine many years of experience leading fast-growing technology companies with specialist knowledge of licensing semiconductor IP, which is exactly what we need to take Blueshift Memory to the next level.”
“Blueshift Memory’s novel Cambridge Architecture enables more efficient and higher-performance processing for memory-hungry applications such as Big Data, in-memory databases, AI training and computer vision,” said Dr Ron Black. “Its low latency and acceleration of memory access can help break through the ‘memory wall’ that has been inhibiting performance in these and other memory-intensive use cases.”