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Atharva Ingle

@AtharvaIngle7 • 2,328 subscribers

AI @e2enetworks (building @jarvislabsai) , @kaggle Competition Expert, Dev Expert @weights_biases

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Got DeepSeek V4 Flash running on 2x H200s at 160–200 tok/s on JarvisLabsAI this speed is perfect for in the loop things I do with these agents. It feels like a GLM-5.2-class model with much lower hardware requirements. I’m going to daily-drive it for a bit and see how it performs, but first impressions are really good.

Got DeepSeek V4 Flash running on 2x H200s at 160–200 tok/s on JarvisLabsAI this speed is perfect for in the loop things I do with these agents. It feels like a GLM-5.2-class model with much lower hardware requirements. I’m going to daily-drive it for a bit and see how it performs, but first impressions are really good.

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GLM 5.2 in pi running at almost 100 tokens/sec on 8x H200. I really like this model. It feels a frontier-level model you can actually self-host. Next step: squeeze more out of it by benchmarking different quants, tuning the stack, and figuring out the minimum GPU setup people can realistically run it on. Expect more on this soon.
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GLM 5.2 in pi running at almost 100 tokens/sec on 8x H200. I really like this model. It feels a frontier-level model you can actually self-host. Next step: squeeze more out of it by benchmarking different quants, tuning the stack, and figuring out the minimum GPU setup people can realistically run it on. Expect more on this soon.

Atharva Ingle

26,790 次观看 • 3 个月前

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