Found 138 Results

AI Requires Tailored DRAM Solutions

https://go.rambus.com/ai-requires-tailored-dram-solutions#new_tab

For over 30 years, DRAM has continuously adapted to the needs of each new wave of hardware spanning PCs, game consoles, mobile phones and cloud servers. Each generation of hardware required DRAM to hit new benchmarks in bandwidth, latency, power or capacity. Looking ahead, the 2020s will be the decade of artificial intelligence/machine learning (AI/ML) touching every […]

Memory Systems for AI: Part 4

https://www.rambus.com/blogs/memory-systems-for-ai-part-4/

Written by Steven Woo for Rambus Press In part three of this series, we discussed how a Roofline model can help system designers better understand if the performance of applications running on specific processors is limited more by compute resources, or by memory bandwidth. Rooflines are particularly useful when analyzing machine learning applications like neural […]

HBM2E and GDDR6: Memory Solutions for AI

https://go.rambus.com/hbm2e-gddr6-memory-solutions-for-ai#new_tab

Artificial Intelligence/Machine Learning (AI/ML) growth proceeds at a lightning pace. In the past eight years, AI training capabilities have jumped by a factor of 300,000 driving rapid improvements in every aspect of computing hardware and software. Meanwhile, AI inference is being deployed across the network edge and in a broad spectrum of IoT devices including […]

What does security look like when 5G meets AI?

https://www.rambus.com/5gsecurity/

What does security looklike when 5G meets AI? Incredible synergies will be realized when 5G meets AI. Security anchored in hardware can protect the great value created. Learn how Rambus solutions secure the chips powering the 5G-AI revolution. Implementing Strong Security for AI/ML Accelerators Webinar Series Dedicated accelerator hardware for artificial intelligence and machine learning […]

Storage and Networking Bytes: PCIe5, OpenShift, and Veeam

https://www.datanami.com/2020/01/17/storage-and-networking-bytes-pcie5-openshift-and-veeam/#new_tab

Let’s start with PCIe5, the spec for which was finalized in early 2019. Now manufacturers are now getting revved up to produce PCIe5 hardware in 2020, which will be a boon for data- and processor-hungry workloads like machine learning and AI, as well as high performance computing (HPC) workloads that rely on GPUS, FPGAs, and […]

Accelerating AI And ML Applications With PCIe 5

https://semiengineering.com/accelerating-ai-and-ml-applications-with-pcie-5/#new_tab

The 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 […]

PCI Express 5 vs. 4: What’s New? [Everything You Need to Know]

https://www.rambus.com/blogs/pci-express-5-vs-4/

Introduction What’s new about PCI Express 5 (PCIe 5)? The latest PCI Express standard, PCIe 5, represents a doubling of speed over the PCIe 4.0 specifications. We’re talking about 32 Gigatransfers per second (GT/s) vs. 16GT/s, with an aggregate x16 link bandwidth of almost 128 Gigabytes per second (GBps). This speed boost is needed to […]

Implementing Strong Security for AI/ML Accelerators [Part One]

https://go.rambus.com/implementing-strong-security-for-ai-ml-accelerators-part-one#new_tab

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]

https://go.rambus.com/implementing-strong-security-for-ai-ml-accelerators-part-two#new_tab

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]

https://go.rambus.com/implementing-strong-security-for-ai-ml-accelerators-part-three#new_tab

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.

FREE Webinar: Understanding Fault Injection Attacks and Their Mitigation