Assess
Why?
- Alternatives to GPUs (TPUs, IPUs, novel accelerator architectures, analog/RRAM proposals) promise better efficiency for certain workloads.
- Heterogeneous accelerator landscapes could reduce cost or power consumption for large models and inference at scale.
What?
- Track emerging accelerator platforms and vendor roadmaps; benchmark representative models.
- Evaluate integration complexity (software stack, drivers, compilers) and vendor lock-in risks.
- Prototype selected accelerators for niche workloads where efficiency gains are clear.