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Jinki Jeong
PRO
Anserwise
1
16
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22 followers
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32 following
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Recent Activity
upvoted
a
collection
about 20 hours ago
VKAE Accelerated
upvoted
an
article
1 day ago
Adding a GPU Without Building One
reacted
to
SeaWolf-AI
's
post
with π
1 day ago
π Adding a GPU without building one AI is usually framed as "how smart is the model / how many GPUs did you buy." The real bottleneck is elsewhere β how efficiently you use the GPUs you already have. Training happens once; inference runs the entire time users use your product. So a service's economics come down to cost per token. Inference acceleration uses software to pull several times more out of the same GPU β the effect of plugging in one more "virtual GPU." VIDRAFT's VKAE, measured (B200, same-harness, no quality loss): Qwen3.5-35B-A3B (MoE): 25.7 β 601 tok/s (23.4Γ) Darwin-36B-Opus (in-house MoE): 25.0 β 280.8 (11.2Γ) 10,000+ tok/s peak aggregate under concurrency The key: it's reproducible β model + serving shipped as one container. docker pull vidraft/qwen35-vkae:601 Don't take our word for it β run it yourself. The mechanism will be released as a paper. π Leaderboard & demo π https://huggingface.co/spaces/VIDraft/vkae Articles π https://huggingface.co/blog/FINAL-Bench/vkae-leaderboard
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Anserwise
's models
5
Sort:Β Recently updated
Anserwise/AWAXIS-Hybrid-28B
Text Generation
β’
28B
β’
Updated
27 days ago
β’
75
β’
2
Anserwise/AWAXIS-KR-31B
Image-Text-to-Text
β’
52B
β’
Updated
27 days ago
β’
98
β’
4
Anserwise/AWAXIS-Think-31B
Text Generation
β’
31B
β’
Updated
about 1 month ago
β’
68
β’
2
Anserwise/AWAXIS-Think-28B
Text Generation
β’
28B
β’
Updated
Apr 24
β’
31
β’
17
Anserwise/AWAXIS-Think-27b
Text Generation
β’
27B
β’
Updated
Apr 23
β’
5
β’
1