At Rambus, we create cutting-edge semiconductor and IP products, spanning memory and interfaces to security, smart sensors and lighting.
Found 3514 Results
Rambus Initiates Accelerated Share Repurchase Program
https://www.rambus.com/rambus-initiates-accelerated-share-repurchase-program-3/SAN JOSE, Calif. – November 12, 2020 – Rambus Inc. (NASDAQ: RMBS), a premier silicon IP and chip provider making data faster and safer, today announced it has initiated an accelerated share repurchase program with Deutsche Bank AG, London Branch as counterparty, through its agent Deutsche Bank Securities Inc. (Deutsche Bank) to repurchase an aggregate of approximately […]
Rambus and the OCP: Tackling Cloud Data Security with a Hardware Root of Trust
https://www.rambus.com/blogs/rambus-and-the-ocp-tackling-cloud-data-security-with-a-hardware-root-of-trust/Founded in 2009, the Open Compute Project (OCP) is a collaborative community focused on redesigning hardware technology to efficiently support the growing demands on compute infrastructure. More recently, the OCP formed a security working group to tackle the formidable challenges of data security in the cloud, including the increasing sophistication of malicious actors. In conjunction with […]
ICE-IP-63 High-Speed Inline Cipher Engine Product Brief
https://go.rambus.com/protocol-ip-63-product-brief#new_tabThe ICE-IP-63 (EIP-63) is a scalable high-performance, multi-channel cryptographic engine that offers AES-GCM operations as well as AES-CTR and GMAC on bulk data. Its flexible data path is suitable to scale from 100 Gbps to 2.4 Tbps to provide a tailored engine with minimal area for applications.
AI Drives Memory Interconnect Evolution
https://www.eetimes.com/ai-drives-memory-interconnect-evolution/#new_tabTORONTO — Location, location, location is not a mantra limited to real estate. To meet the needs of artificial intelligence (AI) and machine learning applications, it increasingly applies to where data needs to reside, and the memory that stores it.
Rambus Reports Third Quarter 2020 Financial Results
https://www.rambus.com/third-quarter-2020-financial-results/Strong quarter, delivering on revenue, exceeding expectations for profit and generating $44.1 million in cash provided by operating activities Memory interface chip quarterly revenue up 39% year over year; on track for over 50% full-year growth Micron DRAM license extended for an additional 4 years New stock repurchase program authorizes repurchase of 20 million shares […]
Rambus Announces New Stock Repurchase Program
https://www.rambus.com/rambus-announces-new-stock-repurchase-program-3/Board of directors authorizes repurchase of up to 20 million shares SAN JOSE, Calif. – November 2, 2020 – Rambus Inc. (NASDAQ: RMBS), a premier silicon IP and chip provider making data faster and safer, today announced that its board of directors has approved a new stock repurchase program authorizing the repurchase of up to 20 million […]
ICE-IP-63 High-Speed Inline Cipher Engine
https://www.rambus.com/security/inline-memory-encryption/ice-ip-63/ICE-IP-63 High-Speed Inline Cipher Engine Contact Us The ICE-IP-63 (EIP-63) is a scalable high-performance, multi-channel cryptographic engine that offers AES-GCM operations as well as AES-CTR and GMAC on bulk data. Its flexible data path is suitable to scale from 100 Gbps to 2.4 Tbps to provide a tailored engine with minimal area for your application. […]
Rambus IPsec Packet Engine Secures 5G Networking at 10 Gbps
https://www.rambus.com/rambus-ipsec-packet-engine-secures-5g-networking-at-10-gbps/Highlights: Internet Protocol Security (IPsec) Packet Engine with integrated Data Plane Development Kit (DPDK) and companion key negotiation toolkit provides complete solution for securing 5G networking from 1 to 10 Gbps data rates Easily integrates into SoCs for 5G base stations, core network, gateways and end points Supports 3GPP, TLS, DTLS protocols, all relevant IPsec […]
4Gbps！HBM2E内存接口再现性能标杆
https://www.eet-china.com/news/10020.html#new_tab人工智能/机器学习(AI/ML)在全球范围内的迅速兴起，正推动着制造业、交通、医疗、教育和金融等各个领域的惊人发展。从2012年到2019年，人工智能训练能力增长了30万倍，平均每3.43个月翻一番，就是最有力的证明。支持这一发展速度需要的远不止摩尔定律，人工智能计算机硬件和软件的各个方面都需要不断的快速改进。
Impact of AI on Data Center Infrastructure
https://www.delloro.com/impact-of-ai-on-data-center-infrastructure/#new_tabThe 3rd AI Hardware Summit took place virtually earlier this month and it was exciting to see how quickly the ecosystem has evolved and to learn of the challenges the industry has to solve in scaling artificial intelligence (AI) infrastructure. I would like to share highlights of the Summit, along with other notable observations from the industry […]
