ASICS-ML-SYS-ENG-01
ML systems engineer evaluating merchant AI silicon (AMD / Groq / Cerebras / etc.) vs NVIDIA defaults.
Audience
- · 5-12
- Current: ML Systems Engineer / Distributed Training Engineer
- Pain: ROCm vs CUDA software-stack parity gap (real status, not vendor claims)
- Pain: Inference-cost-per-token actual numbers, not theoretical TOPS
Product Needs
(none)
Channels
(none)
Competitor Lens
(none)