Hy-MT2-30B-A3B GPU Requirements: VRAM & Cheapest GPU
Hy-MT2-30B-A3B has about 30.1B parameters. See exactly how much GPU memory it needs at FP16, INT8, and INT4, and the cheapest GPU to run it, with live hourly pricing from 5+ data center partners.
To run Hy-MT2-30B-A3B for inference at FP16, you need roughly 66 GB of VRAM. The cheapest fit on Spheron is RTX PRO 6000 96GB at about $0.84/hr. Quantize to INT4 to run it on a smaller, cheaper GPU.
Estimated peak VRAM including weights, activations, and KV cache. Add 10% headroom for production traffic.
- 01$0.84/hr$0.84/hr1× RTX PRO 6000 96GBCHEAPESTBlackwell · GDDR7
- 02$0.85/hr$0.85/hr1× A100 80GBAmpere · HBM2e
- 03$0.61/hr$1.22/hr2× L40S 48GBAda Lovelace · GDDR6
- 04$1.77/hr$1.77/hr1× H200 141GBHopper · HBM3e
- 05$1.88/hr$1.88/hr1× GH200 96GBGrace Hopper · HBM3
Live pricing aggregated from 5+ data center partners. Per-minute billing, no commitments.
VRAM required to run Hy-MT2-30B-A3B
Estimated peak VRAM at context length 4,096 and batch size 1, including weights, activations, and KV cache. Quantizing to INT8 (Q8) or INT4 (Q4) cuts memory roughly in half and in quarter.
| Precision | Inference | LoRA fine-tune | Full fine-tune |
|---|---|---|---|
| FP16 | 66 GB | 98 GB | 262 GB |
| INT8 | 33 GB | 49 GB | 131 GB |
| INT4 | 16 GB | 25 GB | 66 GB |
Cheapest GPU to run Hy-MT2-30B-A3B by precision
Full precision. Best quality, highest memory.
8-bit quantized. ~2x smaller, minimal quality loss.
4-bit quantized. ~4x smaller, runs on smaller GPUs.
Inference vs fine-tuning Hy-MT2-30B-A3B
Inference only holds the model weights plus a KV cache, so it is the cheapest setup. LoRA fine-tuning adds a small adapter and roughly 50% more memory. Full fine-tuning holds gradients and optimizer state on top of the weights, which is about 4x the inference footprint, so it often needs multiple GPUs even when inference fits on one. For Hy-MT2-30B-A3B, an on-demand RTX PRO 6000 96GB instance covers inference and LoRA, while a full fine-tune needs several times that memory and often spans multiple GPUs. Check the live GPU pricing for current rates.
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