Highly optimized for generative AI applications running Transformer based NN models that enables highly efficient and simple system designs. Ideal companion to custom NN hardware accelerators using high-throughput VCIX interface.
Market leading performance/power efficiency with RISC-V Vectors, full AI solution with optimized libraries, OpenXLA, compilers and support of Frameworks and NN models.
Powerful AI processor
Overview
Key Features
- SiFive Intelligence Extensions for ML workloads
- Custom instructions to greatly accelerate Neural Network computation
- Optimized TensorFlow Lite implementation
- Hundreds of Neural Network models ported
- 4.6 TOPS performance
- 512-bit VLEN
- Single Vector ALU
- VCIX (1024-bit)
- Performance benchmarks
- 5.75 CoreMarks/MHz
- 3.25 DMIPS/MHz
- 4.6 SpecINT2k6/GHz
- Built on silicon-proven U7-Series core
- 64-bit RISC-V ISA
- 8-stage dual-issue in-order pipeline
- Coherent multi-core, Linux capable
- High performance vector memory subsystem
- Memory parallelism provides cache miss tolerance
- Virtual memory support with precise exceptions
- Up to 48-bit addressing
- Multi-core, multi-cluster processor configuration, up to 8 cores
Technical Specifications
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