Is foundational AI research still something that can be done without access to HPC? [D]
Foundational AI research can still be done without high-performance computing (HPC) infrastructure, as evidenced by early work like "Attention is all you need" which used high-end gaming GPUs. You can contribute to the field with limited hardware if you focus on incremental improvements or niche areas. However, reproducing state-of-the-art results often requires significant computational resources.
Key takeaways
- Early influential papers used affordable hardware like gaming GPUs.
- You can contribute to AI research with limited hardware by focusing on niche areas.
- Reproducing SOTA results often requires significant computational resources.
Is foundational AI research still something that can be done without access to HPC? [D]
Foundational AI research can still be done without high-performance computing (HPC) infrastructure, as evidenced by early work like "Attention is all you need" which used high-end gaming GPUs. You can contribute to the field with limited hardware if you focus on incremental improvements or niche areas. However, reproducing state-of-the-art results often requires significant computational resources.
Key takeaways
- Early influential papers used affordable hardware like gaming GPUs.
- You can contribute to AI research with limited hardware by focusing on niche areas.
- Reproducing SOTA results often requires significant computational resources.