What GPU do I need to run upstage/Solar-Open-100B?
102.7B parameters, published in BF16. View on Hugging Face
Set up Solar-Open-100BSolar-Open-100B is published by upstage on Hugging Face, with 14,753 downloads and 495 likes to date. It's a SolarOpenForCausalLM model built for text-generation, published natively in BF16.
VRAM required & cheapest live GPU fit
Required VRAM = weight size at each precision, plus a fixed overhead for KV-cache, activations, and fragmentation. Full formula and assumptions: methodology.
| Precision | Weight size | Required VRAM | Cheapest live fit | GPUs needed | Est. $/hr (full fit) |
|---|---|---|---|---|---|
| BF16 | 191.2 GB | 229.4 GB | RTX A6000 | 5 | $1.81/hr |
| FP8 (quantized) | 95.6 GB | 114.7 GB | RTX 4000 SFF Ada | 6 | $1.19/hr |
| INT4 (quantized) | 47.8 GB | 57.4 GB | A100 | 1 | $1.20/hr |
| cheaper alt. | RTX A5000 | 3 | $0.528/hr |
A GPU is only matched to a row if its hardware supports that precision, and the primary recommendation is always a single-GPU fit when one exists.
INT4 requires a quantized checkpoint actually published for this model, check its Hugging Face page before relying on this row.
Cheapest way to run Solar-Open-100B at its published (BF16) precision: 5× RTX A6000, at $0.363/hr per GPU ($1.81/hr total). Quantizing to FP8 or INT4 (rows above) can cost less, but requires a compatible quantized checkpoint to exist for this model.
Solar-Open-100B: common questions
Can Solar-Open-100B run on a single GPU?
No. At BF16 it needs 229.4 GB of VRAM, more than a single 32 GB desktop card holds. The cheapest capable card in the live feed is a 48.0 GB RTX A6000, and it takes 5 of them.
How many GPUs do I need to run Solar-Open-100B?
5 at BF16. It needs 229.4 GB of VRAM and the cheapest capable live offer is a 48.0 GB RTX A6000, so 5 of them come to $1.81/hr in total.
Does quantizing Solar-Open-100B lower the GPU bill?
Yes. At BF16 the cheapest live fit is 5 RTX A6000 cards at $1.81/hr. At FP8 (quantized) it drops to 6 RTX 4000 SFF Ada cards at $1.19/hr, provided a quantized checkpoint exists for it.
Weight-to-VRAM math, the fit rules, and how live prices are normalized: full methodology.
More SOLAR models
- Solar-Open2-250B (250.3B, BF16)
- solar-pro-preview-instruct (22.1B, BF16)
- YanoljaNEXT-EEVE-Instruct-10.8B (10.8B, BF16)
- SOLAR-10.7B-Instruct-v1.0 (10.7B, F16)
- SOLAR-10.7B-v1.0 (10.7B, F16)
Related reading: RTX A6000 pricing and specs, The NVIDIA Inception program, explained, Google Colab alternatives for dedicated GPU access, Free GPU credits for students and researchers, and RunPod volume disk vs. network volume, compared.
