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a single 4090 that's insane

kaio ken

3,380 subscribers

418,574 görüntüleme • 2 yıl önce •via X (Twitter)

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10 Yorum

kaio ken profil fotoğrafı

kaio ken2 yıl önce

this is the last time we see this

kayhe profil fotoğrafı

kayhe2 yıl önce

not turning on camera on zoom anymore, not taking the risk of someone making a deepfake of me committing to fake ETAs or tickets

kaio ken profil fotoğrafı

kaio ken2 yıl önce

grandma's fb feed about to get even more wild

nion profil fotoğrafı

nion2 yıl önce

them romantic scams boutta get insane

Lotto profil fotoğrafı

Lotto2 yıl önce

Literally have the tech for waifus but won’t ship it, worse than wwiii

Jennifer RM profil fotoğrafı

Jennifer RM2 yıl önce

Their eyes are dead. Arguably, this is comforting, because getting the eyes right basically requires a pretty deep theory of mind, and would imply that the image generator was simulating "real"** people for a bit.

Lelouch 👾 profil fotoğrafı

Lelouch 👾2 yıl önce

That’s insane lol

major katsurAGI profil fotoğrafı

major katsurAGI2 yıl önce

is this shit open source?

race profil fotoğrafı

race2 yıl önce

why is the detection of deepfakes so hard?

Thomas Millar profil fotoğrafı

Thomas Millar2 yıl önce

@AiFlux new video template?

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GPU tradeoff series: A100 is not much more powerful than 4090 🫠 GPU Perf and Price: - 4090: 330 fp16 TFLOPs, $1,749 - A100 (80GB): 312 fp16 TFLOPs, $20,000 > A100 is 11.4X more pricy Training speed for GPT-2(124M) with llm.c: - 4090: 153K tokens/s - A100 (80GB): 195K tokens/s > A100 is only 1.3X faster (both trained using a single card, A100 llm.c training is shown in the video, 4090 video is in the quoted tweet) Conclusion: 4090 has a much better cost vs performance ratio Why: As in the H100 vs. 4090 comparison, the biggest difference between A100 and 4090 is their GPU memory size/bandwidth and cross-GPU communication bandwidth, which does not matter too much if your model can fit into a single 4090. Specs: 4090: - GPU memory size: 24GB - memory bandwidth: 1 TB/s - communication bandwidth: 64 GB/s A100: - GPU memory size: 80GB - memory bandwidth: 2 TB/s - communication bandwidth: 900 GB/s Nvidia killed off NVLink (a high-speed communication link that connects GPUs) on 4090. (Jensen Huang smiling face) If multiple 4090s could be interconnected via NVLink, their performance would be closer to datacenter-grade A100 GPUs, even for training larger models. Additionally, 4090 isn't allowed in datacenters, that's how Nvidia makes 💰💰💰

GPU tradeoff series: A100 is not much more powerful than 4090 🫠 GPU Perf and Price: - 4090: 330 fp16 TFLOPs, $1,749 - A100 (80GB): 312 fp16 TFLOPs, $20,000 > A100 is 11.4X more pricy Training speed for GPT-2(124M) with llm.c: - 4090: 153K tokens/s - A100 (80GB): 195K tokens/s > A100 is only 1.3X faster (both trained using a single card, A100 llm.c training is shown in the video, 4090 video is in the quoted tweet) Conclusion: 4090 has a much better cost vs performance ratio Why: As in the H100 vs. 4090 comparison, the biggest difference between A100 and 4090 is their GPU memory size/bandwidth and cross-GPU communication bandwidth, which does not matter too much if your model can fit into a single 4090. Specs: 4090: - GPU memory size: 24GB - memory bandwidth: 1 TB/s - communication bandwidth: 64 GB/s A100: - GPU memory size: 80GB - memory bandwidth: 2 TB/s - communication bandwidth: 900 GB/s Nvidia killed off NVLink (a high-speed communication link that connects GPUs) on 4090. (Jensen Huang smiling face) If multiple 4090s could be interconnected via NVLink, their performance would be closer to datacenter-grade A100 GPUs, even for training larger models. Additionally, 4090 isn't allowed in datacenters, that's how Nvidia makes 💰💰💰

Yuchen Jin

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this is a single cut? fucking insane

this is a single cut? fucking insane

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That's insane

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That's insane

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That's insane

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That's insane

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That's insane

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That's insane!

That's insane!

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That's insane

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That's pretty insane

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THAT'S INSANE😍

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That's pretty insane

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That's pretty INSANE

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That's insane 👇

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That's just insane

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The 9800x3D crushed expectations- the 4090 became the bottleneck. Achieves an unbelievable 400-500 FPS on every single BTB map in Halo Infinite.

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That's an insane talent

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