Our privacy policy has been updated to incorporate GDPR considerations. See our updated policy here.
Order a Guide Order a Guide Order a Guide

Most Recent Guides & Forecasts

Communications Semiconductor Market Forecast 2019-2024
Provides five-year revenue forecasts for many categories of communications semiconductors, including Ethernet products, embedded and server processors, and FPGAs.
Communications Semiconductor Market Share 2019
Provides market share data for many categories of communications semiconductors, including Ethernet products, processors, and FPGAs.
A Guide to Processors for Deep Learning
Covers processors for accelerating deep learning, neural networks, and vision processing for AI training and inference in data centers, autonomous vehicles, and client devices.
A Guide to Multicore Processors
Covers 32- and 64-bit embedded processors with four or more CPU cores that are used for wires and wireless communications, storage, security, and other applications.
A Guide to Ethernet Switch and PHY Chips
Covers data-center switch chips for 10G, 25G, 40G, 50G, and 100G Ethernet. Also includes physical-layer (PHY) chips for 10GBase-T and 100G Ethernet.
A Guide to Processors for IoT and Wearables
Covers processors and connectivity chips for IoT clients and wearable devices, focusing primarily on single-chip solutions with integrated radios.

More Guides »

White Papers

Building Better AI Chips
As progressing to 7nm and beyond becomes ever more complex and expensive, GlobalFoundries is taking a different approach to improving performance by enhancing its 12nm node with lower operating voltages and new IP blocks. The changes are particularly effective for AI (neural-network) accelerators. The new 12LP+ technology builds on the success that the foundry’s customers have already achieved in AI acceleration.
Unified Inference and Training at the Edge
As more edge devices add AI capabilities, some applications are becoming increasingly complex. Wearables and other IoT devices often have multiple sensors, requiring different neural networks for each sensor, or they may use a single complex network to combine all the input data, a technique called sensor fusion. Others implement on-device training to customize the application. The GPX-10 processor can handle these advanced AI applications while keeping power to a minimum.
Deterministic Processing for Mission-Critical Applications
Time-sensitive applications such as automotive and robotics require fast and consistent response times. Features such as caches and branch prediction hamper responsiveness. SiFive CPUs can disable these features to deliver deterministic responses. They also combine Linux and RTOS CPUs in the same cluster to enhance responsiveness while offering smaller die area than competitors.
C-V2X Drives Intelligent Transportation
This white paper describes the benefits that cellular vehicle-to-everything (C-V2X) technology will provide by enabling vehicles to communicate directly with each other (V2V), transportation infrastructure (V2I), and network-connected service providers (V2N).
More White Papers »
Linley Reports Linley Reports Subscribe to our Reports

November 30, 2020

AMD Steps Up to 4K Gaming
The new Radeon RX6000 cards, based on the Big Navi chip, double compute power and add a huge cache as well as ray-tracing acceleration, vaulting AMD into the high end of the graphics market.
Mythic Unveils Analog-AI Product
Mythic’s first chip, the M1108, is rated at 35 TOPS with an impressive power efficiency of 6 TOPS per watt. The image-processing accelerator stores up to 113 million weights in its 108 cores.
Imagination Serves Up B-Series GPUs
The top-of-the-line BXT GPUs target Imagination’s traditional premium-smartphone customers, but the lineup can serve everything from consumer products to PC graphics cards and cloud servers.

November 23, 2020

Cisco Debuts 12.8Tbps Switch Chips
Just 10 months after entering the merchant switch-chip market, Cisco announced its Silicon One 7nm family for data-center and service-provider networks.
Intel Takes First Step in Discrete GPUs
The Xe Max, code-named DG1, is Intel’s first discrete-graphics product in two decades. It will debut later this quarter and targets laptop PCs using Tiger Lake processors.
Editorial: Qualcomm Bounces Back
After a bad 2019, Qualcomm has recently seen a run of good news, including legal victories, a market-share uptick, approval to sell to Huawei, and booming RF revenue.

November 16, 2020

SiFive VIU7-256 Takes Vector Lead
The VIU7-256 is SiFive’s first vector CPU. The new 64-bit core, which processes 512-bit vectors, is built on the newest RISC-V standard. Preliminary RTL is shipping now.
Imagination Series4 Tiles Tensors
Imagination Technologies’ new IMG Series4 deep-learning accelerators reduce DRAM bandwidth by splitting tensor operations into multilayer groups, keeping most intermediate data on chip.
Flex Logix Shows First AI Chip
At the recent Linley Fall Processor Conference, the startup revealed that its InferX X1 chip is running in its lab, and it announced the X1P1 PCI Express accelerator card.

November 9, 2020

Ryzen 5000 Rides Zen 3 to the Top
AMD’s second-generation 7nm CPU drives leadership desktop-PC performance. The Zen 3 microarchitecture increases both single-thread performance and power efficiency.
Cortex-A78C Improves Security
Arm’s newest CPU for the PC market boosts the core count, expands the L3 cache, and improves security. These system-level changes target the CPU for the midrange PCs and mobile gaming.

More Articles »

Linley Fall Processor Conference Proceedings

Free Newsletter

Linley Newsletter
Analysis of new developments in microprocessors and other semiconductor products
Subscribe to our Newsletter »

Events

Linley Spring Processor Conference 2021
Coming April 21-22, 2021
Hyatt Regency Hotel, Santa Clara, CA
More Events »

In the Media