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helloericsf

HN member
Joined
Mon, May 09, 2022, 8:24 PM UTC
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676
Public activity
93 items

About helloericsf

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Recent public activity

  1. comment
    Comment #46052616

    Wow, didn't know there were talks about relaxing GDPR. Can you share a few links? Many thanks.

  2. comment
    Comment #46051918

    Thanks for sharing. I bet their DPO and EU customers are super interested in the findings. The CEO should have handled it better, IMO.

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    Comment #45975198

    Not a DBA, how do you do DB permission rollout gating?

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    Comment #45354220

    Thanks for reaching out. Just reposted.

  5. comment
    Comment #45354049

    If you're in SF, you don't want to miss this. The Qwen team is making their first public appearance in the United States, with the VP of Qwen Lab speaking at the meetup below durin…

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    Comment #44538201

    The base plan limit is not hard to hit. Then you're on the usage based rocket.

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    Comment #44537426

    Honestly depends on when they got in. Seed investors? They're probably fine with their preferences. Series B and beyond? That's where it gets messy. What round you thinking?

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    Comment #44536074

    How does it stack up against the new Grok 4 model?

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    Comment #43190535

    3 repos DualPipe https://github.com/deepseek-ai/DualPipe EPLB https://github.com/deepseek-ai/eplb profile-data https://github.com/deepseek-ai/profile-data

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    Comment #43179522

    Github: https://github.com/deepseek-ai/DeepGEMM - Up to 1350+ FP8 TFLOPS on Hopper GPUs - No heavy dependency, as clean as a tutorial - Fully Just-In-Time compiled - Core logic at …

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    Comment #43172776

    HF: https://huggingface.co/Wan-AI/Wan2.1-T2V-14B Github: https://github.com/Wan-Video/Wan2.1 Wan2.1, a comprehensive and open suite of video foundation models that pushes the bound…

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    Comment #43167553

    this might help: https://x.com/main_horse/status/1894215779521794058/photo/1

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    Comment #43167375

    - Efficient and optimized all-to-all communication - Both intranode and internode support with NVLink and RDMA - High-throughput kernels for training and inference prefilling - Low…

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    Comment #43156709

    They don't have h100. wink,wink.

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    Comment #43156193

    Don't think the decision is based on infra, or any technical reasons. It's more on the service support side. How a 200-person company supports 44M iPhone users in China?

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    Comment #43155494

    What do you mean by "lower"? To my understanding, they will open 5 infra related repos this week. Let's revisit your comparison question on Friday.

  25. comment
    Comment #43155028

    X: https://x.com/deepseek_ai/status/1893836827574030466 BF16 support Paged KV cache (block size 64) 3000 GB/s memory-bound & 580 TFLOPS compute-bound on H800