I think the only one I might question the significance of in your list is Qwen 3. They didn't even release a base model. The technical report was quite disappointing as well.
@theahmadosman
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vLLM Limitations in Broader AI Landscape
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vLLM is a small part of the whole picture. They're massively lacking.
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Inference Limited Role in AI Development Picture
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Inference is a small part of the picture. Not comparable.
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GPU Market Viability: CUDA Support and Hardware Trends
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No. And people are still arguing with me lol. You still need to be aware of what's happening in CUDA, when a certain GPU support is expected to drop, etc. But It's a joke if you think GPUs are a bubble.
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GPU Bull Case Remains Strong for AI Infrastructure
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It's still a bull-case for GPUs in my opinion though
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Nvidia GPU Pricing Stagnation Since Ampere Architecture
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3090s from 6 years ago are still $800 on ebay nvidia cooked with Ampere, and the improvements have been relatively marginal since then
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LLaMA 2 Sparked Open Source LLM Interest
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It definitely kickstarted things for LLMs but it was LLaMA 2 that showed there was interest in opensource models.
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Qwen 2.5 influence research adoption compared to other models
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not that it's a bad model, but in terms of influence that is yet to be determined Qwen 2.5 is still used to this day in research and experiments, more than any other model – that's a different level of influence
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Top 5 Most Influential Open Source LLM Releases
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the top 5 most influential LLM releases that defined opensource AI > LLaMA 2 > Mistral 7B > LLaMA 3 > Qwen 2.5 > DeepSeek R1
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Model Ranking: Clear Performance Gap Among Top AI Systems
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not saying it wasn't a great model, it'd rank 4th in this list, i just wanted clear jump ahead and those 3 delivered that