NVIDIA
NVIDIA Nemotron 3.5 Lightning 30B A3B BF16
NVIDIA model discovered on huggingface
Model Summary
Family
NVIDIA
Version
3.5
Parameters
31.6B (est.)
Parameter counts for closed models are estimates; vendors rarely publish exact sizes.
VRAM Requirements by Quantization
Memory needed to serve NVIDIA Nemotron 3.5 Lightning 30B A3B BF16 for inference, including a 20% overhead for activations and KV cache.
| Precision | VRAM needed | Smallest single GPU that fits |
|---|---|---|
| INT4 (4-bit) | 17.66 GB | NVIDIA L4 (24 GB) |
| INT8 (8-bit) | 35.32 GB | NVIDIA L40S (48 GB) |
| FP16 (16-bit) | 70.63 GB | NVIDIA H100 SXM5 (80 GB) |
| FP32 (32-bit) | 141.26 GB | NVIDIA B200 SXM (192 GB) |
Recommended GPU Configurations
Cheapest on-demand configurations to serve NVIDIA Nemotron 3.5 Lightning 30B A3B BF16 at 8-bit (35 GB VRAM).
3x NVIDIA T4
48 GB total VRAM · Turing
~$1.50/h
3x NVIDIA P100 SXM2
48 GB total VRAM · Pascal
~$1.80/h
1x NVIDIA A40
48 GB total VRAM · Ampere
~$1.80/h
Quick GPU Planning
Use the calculator pre-filled with this exact version to estimate memory, speed, and compute requirements in a few clicks.
Access Pre-filled CalculatorFrequently Asked Questions
How much VRAM do you need to run NVIDIA Nemotron 3.5 Lightning 30B A3B BF16?
With an estimated 31.6B parameters, NVIDIA Nemotron 3.5 Lightning 30B A3B BF16 needs roughly 35 GB of VRAM in 8-bit (INT8), 18 GB in 4-bit, and 71 GB in FP16, including a 20% overhead for activations and KV cache.
Which GPUs can run NVIDIA Nemotron 3.5 Lightning 30B A3B BF16?
At 8-bit quantization, the most cost-effective option is 3x NVIDIA T4 (48 GB combined VRAM, around $1.50/hour on-demand). Higher-end cards like the NVIDIA B200 or AMD MI355X reduce the GPU count needed.
Can NVIDIA Nemotron 3.5 Lightning 30B A3B BF16 run on a single GPU?
Yes. In 8-bit, a single NVIDIA L40S (48 GB) fits the model.
How much does it cost to serve NVIDIA Nemotron 3.5 Lightning 30B A3B BF16 in the cloud?
Renting 3x T4 costs on the order of $1.50/hour, i.e. about $1,095/month running 24/7. Actual prices vary by provider and commitment; spot and reserved capacity can be significantly cheaper.
Deploy on a GPU cloud
Rent 3x T4 by the hour instead of buying hardware.
