SiFive Performance P870-D brings high compute density and scalability to datacenters, vehicles, and embedded systems
SANTA CLARA, Calif.: SiFive, Inc., the gold standard for RISC-V computing, announced its new SiFive Performance P870-D datacenter processor to meet customer requirements for highly parallelizable infrastructure workloads including video streaming, storage, and web appliances. When used in combination with products from the SiFive Intelligence product family, datacenter architects can also build an extremely high-performance, energy efficient compute subsystem for AI-powered applications.
Building on the success of the P870, the P870-D supports the open AMBA CHI protocol so customers have more flexibility to scale the number of clusters. This scalability allows customers to boost performance while minimizing power consumption. By harnessing a standard CHI bus, the P870-D enables SiFive’s customers to scale up to 256 cores while harnessing industry-standard protocols, including Compute Express Link (CXL) and CHI chip to chip (C2C), to enable coherent high core count heterogeneous SoCs and chiplet configurations.
The P870-D processor enables the creation of infrastructure SoCs with higher compute density compared to the competition, offering improved performance per watt metrics for workloads that require the execution of multiple compute tasks in parallel. As a result, SiFive’s P870-D offers advantages in total cost of ownership, which is especially important as the industry is looking for ways to lower the cost of training AI models. Additionally, the power-efficiency of the P870-D aligns with the industry’s growing focus on sustainability.
“SiFive brings a clean, modern approach to the AI era with our broad portfolio of RISC-V solutions. The new P870-D enhances our proven Performance architecture to bring new levels of performance, flexibility, and scalability,” said John Ronco, SiFive SVP of Product. “The full solution offering from SiFive—including software, IOMMU, interrupt controller, and other uncore blocks—combined with our intelligence processors for dedicated AI compute makes it easy for our customers to achieve the most effective performance/watt/dollar metrics on AI and datacenter workloads.”
“Energy efficiency is going to be a major factor for data center architects for the foreseeable future. This is a clear differentiator for RISC-V and why we expect the architecture to play a major role in the continued growth of high-performance data center processing,” said Edward Wilford, Senior Research Director, Omdia. “We forecast that more power-efficient data center processors will make up over 40% of the market by volume in 2030, driven by the growth of open-source software and open-standard architecture.”
“Network-on-Chip IP significantly helps streamline the process of building complex, multi-core heterogeneous SoCs with the lowest latency and high bandwidth to accommodate AI workloads,” said Michal Siwinski, CMO of Arteris. “We are pleased to continue the collaboration with SiFive, enabling the ecosystem to create high-performance and low-power RISC-V-based systems on time and budget while reducing risk.”
