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SphincsLib Contact Us Rambus SphincsLib is a standalone ‘bare metal’ software library, which implements the SLH-DSA FIPS 205 standard. SphincsLib provides key generation, signature generation and signature verification for SLH-DSA. The library implements the hashing operations in software but can be integrated with a hardware core for acceleration. SphincsLib is optimized for minimal footprint and […]
This webinar will examine two critical technologies that address these challenges: Inline Memory Encryption (IME) and MACsec (Media Access Control Security).
In this webinar, we’ll dive into secure provisioning and examine how these systems and processes are critical to maintaining the integrity, authenticity, and confidentiality of components and systems as they move from manufacturing to deployment.
As per socket compute density increases, the amount of directly accessible, low-latency memory bandwidth and capacity to adequately feed data to the multiple cores needs to scale accordingly. Scaling memory bandwidth by increasing raw DRAM component bandwidth or by increasing the number of memory channels has challenges and is reaching limits. JEDEC has unveiled the […]
Download the product brief to learn how the Rambus PMIC5100 (P1535Gxx) enables client UDIMMs, CUDIMMs, SODIMMs and CSODIMMs. With the Rambus Client Clock Driver and SPD Hub ICs, it comprises a complete memory interface chipset for client DIMMs.
Download the product brief to learn more about the Rambus DDR5 Multiplexed Registering Clock Driver (MRCD) and Multiplexed Data Buffer (MDB).
This webinar will examine defense-grade RoT architectures designed to meet the rigorous security, resiliency, and assurance requirements of federal environments.
This presentation will cover fundamentals of tamper-resistant security with a focus on the non-invasive attack technique of side-channel analysis (SCA). Included will be the fundamentals, prevention, and certification.
In the fast-paced world of Artificial Intelligence (AI), a groundbreaking startup is making waves with its innovative approach to AI chip design. Etched, founded by Harvard dropouts Gavin Uberti, Chris Zhu, and Robert Wachen in 2022, has set out to transform the AI industry with a bold vision: creating specialized chips designed to accelerate AI […]
Rapid advancements in AI are becoming commonplace, driven by large language models (LLMs) that now exceed 1 trillion parameters. While these AI models are revolutionizing many industries, their increasing demand for computational power is driving the need for more specialized and higher-performance infrastructure.
