Communications Semiconductor Market Forecast 2020-2025
Provides five-year revenue forecasts for many categories of communications semiconductors, including Ethernet products, smart NICs, embedded and server processors, and FPGAs.
Most Recent Guides & Forecasts
Communications Semiconductor Market Share 2020
Provides market share data for many categories of communications semiconductors, including Ethernet products, processors, and FPGAs.
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.
Covers processors for accelerating deep learning, neural networks, and vision processing for AI training and inference in data centers, autonomous vehicles, and client devices.
White Papers
DPU-Based Hardware Acceleration: A Software Perspective
Data-processing units (DPUs) promise greater data-center efficiency, but low-level-programming requirements have hindered broad adoption. Nvidia aims to remove this obstacle using its DOCA framework, which abstracts the programming of BlueField DPUs. Furthermore, customers will be able to program future converged DPU+GPU hardware using the combination of DOCA and CUDA.
Data-processing units (DPUs) promise greater data-center efficiency, but low-level-programming requirements have hindered broad adoption. Nvidia aims to remove this obstacle using its DOCA framework, which abstracts the programming of BlueField DPUs. Furthermore, customers will be able to program future converged DPU+GPU hardware using the combination of DOCA and CUDA.
CertusPro-NX Reinvigorates General-Purpose FPGAs
CertusPro-NX, the fourth product developed using Lattice Semiconductor’s Nexus platform in the last 18 months, delivers class-leading power, performance, and size for diverse applications. These general-purpose FPGAs offer low power, small packages, and high-bandwidth I/Os, such as PCIe Gen3 and Gigabit Ethernet. They’re well suited to edge AI, industrial IoT, 5G control planes, and other tasks.
CertusPro-NX, the fourth product developed using Lattice Semiconductor’s Nexus platform in the last 18 months, delivers class-leading power, performance, and size for diverse applications. These general-purpose FPGAs offer low power, small packages, and high-bandwidth I/Os, such as PCIe Gen3 and Gigabit Ethernet. They’re well suited to edge AI, industrial IoT, 5G control planes, and other tasks.
Chiplets Gain Rapid Adoption: Why Big Chips Are Getting Small
Leading chip vendors such as AMD and Intel have adopted chiplet technology for several products. This technology can reduce cost for large 7nm designs by as much as 25%, according to our analysis; the savings are even greater at 5nm and beyond. We expect chiplets will be widely used for data-center processors and networking chips in these advanced nodes.
Leading chip vendors such as AMD and Intel have adopted chiplet technology for several products. This technology can reduce cost for large 7nm designs by as much as 25%, according to our analysis; the savings are even greater at 5nm and beyond. We expect chiplets will be widely used for data-center processors and networking chips in these advanced nodes.
Expedera Redefines AI Acceleration for the Edge
Expedera is a small company with big ideas. Rather than optimizing the usual AI techniques, the company rethought neural-network acceleration from the ground up, creating a unique approach that greatly improves performance while maintaining consistent power and die area. This design is well suited to many consumer and automotive applications, enabling customers to increase the intelligence of their devices and add new capabilities to benefit their end users.
Expedera is a small company with big ideas. Rather than optimizing the usual AI techniques, the company rethought neural-network acceleration from the ground up, creating a unique approach that greatly improves performance while maintaining consistent power and die area. This design is well suited to many consumer and automotive applications, enabling customers to increase the intelligence of their devices and add new capabilities to benefit their end users.
Growing AI Diversity and Complexity Demands Flexible Data-Center Accelerators
AI applications are becoming more diverse, even as models for specific applications rapidly advance. CPUs and GPUs offer the flexibility to handle new models, but they deliver poor throughput or efficiency for real-time inferencing. Purpose-built deep-learning accelerators excel for CNNs but often fare poorly on other model types. SimpleMachines developed a unique “composable computing” architecture that provides both programmability and efficiency.
AI applications are becoming more diverse, even as models for specific applications rapidly advance. CPUs and GPUs offer the flexibility to handle new models, but they deliver poor throughput or efficiency for real-time inferencing. Purpose-built deep-learning accelerators excel for CNNs but often fare poorly on other model types. SimpleMachines developed a unique “composable computing” architecture that provides both programmability and efficiency.
