Technology fan, Linux user, gamer, 3D animation hobbyist

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Joined 2 years ago
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Cake day: July 24th, 2023

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  • As impressive as their “Ryzen moment” was, AMD still hasn’t gotten 50% of the market after half a decade.

    As much as I love AMD, they will follow Nvidia because they’re a follower. They unlaunched the 9070 at CES because they were unsure about Nvidia’s pricing. They changed their naming scheme to match Nvidia.

    They changed their laptop naming scheme to match Intel. They pushed their earnings release date back so they could report after Intel (Intel pushed their own back the previous quarter).

    You see, sometimes people say, “Why are you always trailing?” Well, we’re trailing because we’re following the [Total Available Market] of where the market is, and we’re letting them create some of this market because they are the only ones that really can when you have the kind of position that they have in the industry. We have to time it.
    We either have to give you less, somewhere else — so, compromises — or we’d have to raise the price points, which is something they are already doing. So why have two people do exactly the same thing, trying to build these leadership products out there? - Frank Azor, chief architect of gaming solutions and gaming marketing at AMD source

    AMD is content with being a second source supplier to Nvidia and Intel. After years of losses and near bankruptcy, AMD has finally figured out how to make a profit while being in second place. They’re in their comfort zone, and there’s no incentive for them to step out of it.











  • At least the article points out that this is a Wall Street valuation, meaning it’s meaningless in reality, the company doesn’t have that much money, nor is it actually worth that much. In reality, Nvidia’s tangible book value (plant, equipment, brands, logos, patents, etc.) is $37,436,000,000.

    $37,436,000,000 / 29,600 employees = $1,264,729.73 per employee

    Which isn’t bad considering the median salary at Nvidia is $266,939 (up 17% from last year).



  • Probably better to ask on !localllama@sh.itjust.works. Ollama should be able to give you a decent LLM, and RAG (Retrieval Augmented Generation) will let it reference your dataset.

    The only issue is that you asked for a smart model, which usually means a larger one, plus the RAG portion consumes even more memory, which may be more than a typical laptop can handle. Smaller models have a higher tendency to hallucinate - produce incorrect answers.

    Short answer - yes, you can do it. It’s just a matter of how much RAM you have available and how long you’re willing to wait for an answer.