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Accelerating AI And ML Applications With PCIe 5
https://semiengineering.com/accelerating-ai-and-ml-applications-with-pcie-5/#new_tabThe rapid adoption of sophisticated artificial intelligence/machine learning (AI/ML) applications and the shift to cloud-based workloads has significantly increased network traffic in recent years. Historically, the intensive use of virtualization ensured that server compute capacity adequately met the need of heavy workloads. This was achieved by dividing or partitioning a single (physical) server into multiple […]
Cable Haunt vulnerability can give hackers remote access to approximately 200 million cable modems
https://www.rambus.com/blogs/cable-haunt-vulnerability-can-give-hackers-remote-access-to-approximately-200-million-cable-modems/Danish cybersecurity experts Alexander Krog, Jens Stærmose and Kasper Terndrup of cybersecurity firm Lyrebirds ApS, and independent Danish researcher Simon Sillesen, announced a new vulnerability dubbed Cable Haunt. In the announcement, they disclosed a critical remote code execution vulnerability in hundreds of millions of cable modems. According to the website the researchers set up, “The […]
What Makes Secure Processors Different?
https://www.eejournal.com/article/what-makes-secure-processors-different/#new_tabGiven the magnificent complexity of modern microprocessors, it’s inevitable that they’ll have bugs and security holes. It might even be physically impossible to create a bug-free CPU, but that’s a mathematics/physics/EDA/statistics/philosophical conundrum that’s above my paygrade. For now, we finds the bugs and we works around ’em.
Memory subsystem solution for next-generation AI training chip
https://www.electronicspecifier.com/products/memory/memory-subsystem-solution-for-next-generation-ai-training-chip#new_tabRambus 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.
California’s IoT Law Is A Good Start, But More Needs To Be Done
https://semiengineering.com/californias-iot-law-is-a-good-start-but-more-needs-to-be-done/#new_tabPassed 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 […]
California’s IoT law is a good start, but more needs to be done
https://www.rambus.com/blogs/californias-iot-law-is-a-good-start-but-more-needs-to-be-done/Written by Paul Karazuba, head of product, Rambus Security Passed by former California governor Jerry Brown, cybersecurity law SB-327 is slated to go into effect on January 1, 2020. 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 […]
Implementing Strong Security for AI/ML Accelerators [Part One]
https://go.rambus.com/implementing-strong-security-for-ai-ml-accelerators-part-one#new_tabDedicated 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]
https://go.rambus.com/implementing-strong-security-for-ai-ml-accelerators-part-two#new_tabDedicated 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]
https://go.rambus.com/implementing-strong-security-for-ai-ml-accelerators-part-three#new_tabDedicated 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
https://go.rambus.com/challenges-and-benefits-of-certification-for-security-hardware#new_tabAs 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 […]
