AMD and SiFive Validate ROCm Stack on RISC-V Datacenter Platform for AI Inference
Originally published as: AMD’s ROCm Runs on on SiFive’s BigSky Datacenter Development Platform
AI overview
Hardware teams evaluating alternative architectures can now look toward validated RISC-V and GPU pairings backed by an open-source software stack for AI inference.
At the AI Infra Summit, SiFive and AMD showcased a major software ecosystem milestone by running AMD ROCm 10.0 on the SiFive BigSky Datacenter Development Platform. The demonstration utilized SiFive Performance P870-D CPU cores as the host head node, paired with AMD Radeon AI PRO R9700 GPUs handling LLM inference offload for the Gemma4-E2B model.
This collaboration addresses a long-standing bottleneck in alternative architectures: the lack of mature, enterprise-grade open-source software stacks for non-x86 hosts. By porting ROCm to a high-performance RISC-V host processor, the companies validate a viable open-standard path for datacenter AI infrastructure, reducing software-dependency lock-in for hyperscalers and system integrators.
Hardware architects and platform developers should monitor how quickly this validation translates into production-ready software support, optimized compiler toolchains, and validated board support packages (BSPs). While currently positioned as a development and validation platform, expanding ROCm beyond traditional host ecosystems opens up new architectural possibilities for heterogeneous computing clusters.
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Questions & answers
The demonstration featured SiFive's BigSky Datacenter Development Platform powered by SiFive Performance P870-D CPU cores acting as the host, paired with AMD Radeon AI PRO R9700 GPUs for inference offload.
