Four extended quotes from SiFive's Krste Asanovic that capture the company's strategy, technology, and market impact.

So first thing to say, this is the second generation of what we call our

Intelligence line

Of course one of the key things is a new, what we call SSCI, SiFive Scaler Co-Processor Interface. We already had a vector co-processor interface that allowed people to connect their accelerator directly to the vector register file. So very high data throughput, but folks also wanted a scaler co-processor interface that allows scaler register values to be communicated along with custom instructions to the accelerator for control functions. So this SSCI feature is now available across the family.

We've also made a bunch of improvements to the memory system, which is very critical for AI applications. So we've made the configurations, the multi-core configurations more efficient in terms of how the memory hierarchy is organized. And we've also added even deeper latency tolerance, so we can handle full bandwidth out to memory that may be a hundred or 200 more cycles away from the processor. And finally, we've added a lot of new instructions to help accelerate key pieces of AI algorithms. One example is, we've added a fully pipeline exponential functional unit that can provide very high throughput for exponential functions, which are a key component of many of the new activation functions being used in AI applications.