Quantum computing research and development continues to pick up pace. Now we hear that software (services and devices) giant Microsoft will be collaborating with memory specialist Rambus on developing memory systems for future architectures, specifically for quantum computing.
Interface IP
Microsoft is pushing for a quantum leap to shape the future of computing
Microsoft and Rambus have announced a partnership whereby they will be jointly looking into the memory requirements which will be necessary for quantum computing to become a reality in some form…
Memory Interface Chipset From Rambus Meets Growing Demands Of Data Centers
After more than 25 years in those trenches, and in the memory business in particular, California’s Rambus, Inc. today finds itself in a better position than ever to demonstrate to the public sphere its longtime role as a memory innovator with a lot of experience in the industry. Though its existence, Rambus has played an undeniably central, and certainly very tumultuous, role in shaping the modern memory industry as it stands both in technical and business terms.
Rambus Launches First Chip In 25 Years, R+ DDR4 Server Memory Chipset At Intel Developer Forum
Rambus has been in the tech industry for 25 years, and like any Silicon Valley tech company in business that long, has developed a brand and reputation, both positive and negative. The positive side was smarts and intellectual property in areas that few could replicate, and on the negative side, lawsuits and lawyers. Rambus is creating a new chapter in the company’s history today by launching, for the first time, an actual chip versus intellectual property (IP).
Rethinking The Cloud
Data center architectures have seen very few radical changes since the commercial introduction of the IBM System/360 mainframe in 1964. There have been incremental improvements in speed and throughput over the years, with a move to a client/server model in the 1990s, but from a high level this is still an environment where data is processed and stored centrally and accessed globally.
Cloud, Consumer and Things Drive Insatiable Demand for Memory
When a caller uses speech recognition on his/her mobile phone, the application is running mostly in the cloud. Functions such as data input using speech recognition requires large amounts of memory to make the capability seamless and effective. Providing this functionality affects the architecture of the mobile device and of the cloud. Compute servers in the massive data centers run by Amazon, Google, and Facebook are vastly different than those in data centers a decade ago. These new centers rely on many powerful processors in parallel, all computing different elements of the same task. These processors require large amounts of data stored in DRAM and flash in front of large hard drive farms to be efficient.