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tmostak

HN member
Joined
Thu, Mar 29, 2012, 5:17 PM UTC
HN karma
642
Public activity
217 items

About tmostak

Twitter: @toddmostak

Recent public activity

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  2. comment
    Comment #48378299

    GPU-accelerated databases have a long history. I founded HeavyAI (previously MapD/OmniSci) in 2013, but there are or have been many other startups in this space, such as Voltron Da…

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    Comment #46818946

    Evidence (preferably with recent Teslas/HW4)?

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    Comment #46818933

    Evidence of this? I own a Tesla (HW4, latest FSD) as well as have taken many Waymo rides, and have found both to react well to unpredictable situations (i.e. a car unexpectedly tur…

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    Comment #46818892

    Do you have data to back this claim up, specifically with HW4 (most recent hardware) and FSD software releases?

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    Comment #45584146

    Even without NVLink C2C, on a GPU with 16XPCIe 5.0 lanes to host, you have 128GB/sec in theory and 100+ GB/sec in practice bidirectional bandwidth (half that in each direction), so…

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    Comment #44243337

    We've made extensive use of perfect hashing in HeavyDB (formerly MapD/OmniSciDB), and it has definitely been a core part of achieving strong group by and join performance. You can …

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    Comment #42652818

    This looks amazing! Just looking through the code a bit, it seems that the model both supports a (custom) attention mechanism between features and between rows (code uses the term …

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    Comment #42537182

    You should be able to train/full-fine-tune (i.e. full weight updates, not LoRA) a much larger model with 96GB of VRAM. I generally have been able to do a full fine-tune (which is e…

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    Comment #40665594

    This assumes that you can linearly scale up the number of TPUs to get equal performance to Nvidia cards for less cost. Like most things distributed, this is unlikely to be the case…

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    Comment #40216200

    Are you measuring tokens/sec or words per second? The difference matters as generally in my experience, Llama 3, by virtue of its giant vocabulary, generally tokenizes text with 20…

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    Comment #40194152

    But it's likely to be much slower than what you'd get with a backend like llama.cpp on CPU (particularly if you're running on a Mac, but I think on Linux as well), as well as not s…

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    Comment #39470036

    Thank you, it's been a major team effort!

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    Show HN: Use natural language to query and visualize 400M tweets

    We've been working hard for the last year on building HeavyIQ, an LLM-powered plugin to the GPU-accelerated HeavyDB database, that allows users to ask natural language questions an…

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    Comment #39456589

    More info can be found here: https://www.heavy.ai/heavyiq/overview

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