SiFive
Intelligence

AI/ML Challenges

Commonly used embedded control processors lack compute resources needed to execute inference workloads efficiently. Dedicated accelerators can work well for CNN layers, however:

• They may not work for modern neural networks
• They can be difficult to program, may have immature tools
• In-house solutions may be expensive to maintain

The SiFive Intelligence™ solution is a better option: A high-performance control processor with scalable vector compute resources, all based on an open instruction set.  SiFive Intelligence is a scalable platform to meet ML processing requirements, from extremely low power to high-performance compute.

The SiFive Solution

SiFive Intelligence is an integrated software + hardware solution that addresses energy efficient inference applications. It starts with SiFive’s industry-leading RISC-V Core IP, adds RISC-V Vector (RVV) support, and then goes a step further with the inclusion of software tools and new SiFive Intelligence Extensions, vector operations specifically tuned for the acceleration of machine learning operations. These new instructions, integrated with a multi-core capable, Linux-capable, dual-issue microarchitecture, with up to 512b wide vectors, and bundled with TensorFlow Lite support, are well-suited for high-performance, low-power inference applications.

Learn more about the first announced SiFive Intelligence product, the SiFive Intelligence X280.

SiFive Intelligence Solution Combines Hardware and Software

Software

Support for popular machine learning frameworks

• Ease of deployment
• Generality to new ML ops
• Portability

Hardware

Family of ML processors with RVV

• Built on silicon proven SiFive architectures
• New SiFive Intelligence Extensions

New SiFive Recode tool creates SiFive RISC-V Vector code from legacy Arm® Neon™ code

Protect your existing software investment; migrate with confidence

Key Features

• Fully-compliant with the RISC-V ISA specification
• Up to 8+1 coherent high-performance RISC-V application processors
• Supports an in-cluster coherent combination of application processors with real-time processors (U and S cores)
• Low latency caches
• High -performance L1 memory microarchitecture
• Physical memory protection
• Private cache /cache locking capability for mission critical computing

Applications

• AI/ML Inference and Training
• Enterprise Switching/Routing/Storage, Smart NICs
• Edge Analytics, Big-Data Analytics
• Autonomous Machines
• Edge Compute
• 5G Infrastructure/Base Stations
• AR/VR/MR/XR