IBM
granite 4.2 30b
IBM model discovered on huggingface
Model Summary
Family
granite
Version
4.2
Parameters
29.3B (est.)
Parameter counts for closed models are estimates; vendors rarely publish exact sizes.
VRAM Requirements by Quantization
Memory needed to serve granite 4.2 30b for inference, including a 20% overhead for activations and KV cache.
| Precision | VRAM needed | Smallest single GPU that fits |
|---|---|---|
| INT4 (4-bit) | 16.37 GB | NVIDIA L4 (24 GB) |
| INT8 (8-bit) | 32.75 GB | NVIDIA L40S (48 GB) |
| FP16 (16-bit) | 65.49 GB | NVIDIA H100 SXM5 (80 GB) |
| FP32 (32-bit) | 130.98 GB | NVIDIA H200 SXM5 (141 GB) |
Recommended GPU Configurations
Cheapest on-demand configurations to serve granite 4.2 30b at 8-bit (33 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 granite 4.2 30b?
With an estimated 29.3B parameters, granite 4.2 30b needs roughly 33 GB of VRAM in 8-bit (INT8), 16 GB in 4-bit, and 65 GB in FP16, including a 20% overhead for activations and KV cache.
Which GPUs can run granite 4.2 30b?
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 granite 4.2 30b 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 granite 4.2 30b 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.
