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Nemotron 3.5 Bolt on one GPU: what the 24 GB covers, the drafter flag and the llama.cpp trap
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Nemotron 3.5 Bolt on one GPU: what the 24 GB covers, the drafter flag and the llama.cpp trap

DEV Community: opensource·InferenceKey·about 18 hours ago
#zcYSM0ju
#devtoopensource#devto#dev#nvidia#drafter

A 74B vision agent model in 22 GB on one A40: 136 tokens/s with its drafter, 70 without, about 27 GB used. What the 24 GB leaves out.

15s
Size Your Model to Where You Run It: Gemma 4 E2B and E4B on an AWS L4 and Two Small GPUs
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Size Your Model to Where You Run It: Gemma 4 E2B and E4B on an AWS L4 and Two Small GPUs

DEV Community: aws·xbill·2 days ago
#iwD3vH6N
#devtoaws#devto#dev#drafter#card

A 24 GB NVIDIA L4 serves Gemma 4 E2B and E4B at only 1.2-1.3x an 8 GB desktop RTX 3050 for one user, with the same answers, because a 4-bit small model uses 13-29% of the card. Pick the model for the hardware, and the hardware for the model.

15s
Size Your Model to Where You Run It: Gemma 4 E2B and E4B on an AWS L4 and Two Small GPUs
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0Read More

Size Your Model to Where You Run It: Gemma 4 E2B and E4B on an AWS L4 and Two Small GPUs

DEV Community: aws·xbill·2 days ago
#fi4BiesS
#devtoaws#devto#dev#drafter#card

A 24 GB NVIDIA L4 serves Gemma 4 E2B and E4B at only 1.2-1.3x an 8 GB desktop RTX 3050 for one user, with the same answers, because a 4-bit small model uses 13-29% of the card. Pick the model for the hardware, and the hardware for the model.

15s