Rambus has announced that Enflame (Suiyuan) Technology has selected Rambus HBM2 PHY and Memory Controller IP for its next-generation AI training chip. Rambus memory interface IP enables the development of high-performance, next-generation hardware for leading-edge AI applications.
Memory subsystem solution for next-generation AI training chip
California’s IoT Law Is A Good Start, But More Needs To Be Done
Passed by former California governor Jerry Brown, cybersecurity law SB-327 went into effect on Jan. 1. This proactive legislation requires manufacturers to equip IoT devices with “reasonable” security features to prevent unauthorized access, modification and data leaks. Specifically, SB-327 requires manufacturers to implement a unique preprogrammed (default) password for each device. Additionally, manufacturers must ensure that users create a new password the first time a device is activated. Together, these steps are expected to help protect California consumers, as hackers are known to routinely target vulnerable devices shipped with generic or default login credentials.
Implementing Strong Security for AI/ML Accelerators [Part One]
Dedicated accelerator hardware for artificial intelligence and machine learning algorithms are increasingly prevalent in data centers and endpoint devices. These accelerators handle important data which has value and must be protected. Many security threats exist that can compromise these assets. Fortunately, there are security techniques which can mitigate these threats.
Implementing Strong Security for AI/ML Accelerators [Part Two]
Dedicated accelerator hardware for artificial intelligence and machine learning algorithms are increasingly prevalent in data centers and endpoint devices. These accelerators handle important data which has value and must be protected. Many security threats exist that can compromise these assets. Fortunately, there are security techniques which can mitigate these threats.
Implementing Strong Security for AI/ML Accelerators [Part Three]
Dedicated accelerator hardware for artificial intelligence and machine learning algorithms are increasingly prevalent in data centers and endpoint devices. These accelerators handle important data which has value and must be protected. Many security threats exist that can compromise these assets. Fortunately, there are security techniques which can mitigate these threats.
Challenges and Benefits of Certification of Security Hardware
As chip designers face greater requirements for security, they also have a growing number of options for secure silicon IP. They can build it themselves, use “free” IP that comes along with other components, use something open source, or obtain it from an IP vendor that specializes in security. There are pros and cons to each approach, but one consideration that is often overlooked is the need for certification for security and functional safety. This webinar will examine some of the common certification regimes, their costs and benefits, and how this impacts the selection of security IP.
