Which GPU runs which model · Qwen
Which GPU runs Qwen3.8 27B
Qwen3.8 27B (27B) takes about 54 GB of VRAM as FP16 weights and about 17 GB at Q4_K_M, before the KV cache for your context window. The table lists the cards on cloudgpu.app by VRAM class, whether the model fits, and the price you will actually be billed, read on 2026-10-23.
Recommended card: RTX 3090 24G (24 GB) at $0.21 per hour, the lowest-priced card in a VRAM class that fits.
| VRAM | Cards | Price per hour | Fit |
|---|---|---|---|
| 24 GB | RTX 3090 24G · RTX 4090D 24G · RTX 4090 24G | $0.21 – $0.33/h | Fits Q4 fits with 16k context |
| 32 GB | RTX 5090 32G | $0.59/h | Fits Q4 comfortable with 32k context |
| 48 GB | RTX A6000 48G · RTX 4090 48G | $0.44 – $0.65/h | Fits Q4 with long context; FP16 tight |
| 80 GB | A800 80G · A100 80G | $1.09 – $1.49/h | Fits FP16 fits |
| 96 GB | H20 96G · RTX PRO 6000 96G | $1.29 – $1.49/h | Fits FP16 fits |
Prices are the list prices on cloudgpu.app read 2026-10-23, Beijing time, and equal what the billing system charges; VRAM figures were last checked on 2026-09-08.
Reading the table
"Fits" is judged for the Q4_K_M weights plus a working context window; FP16 needs roughly twice the VRAM. The note under each verdict says how much context you get.
Data-centre cards (80 GB and 96 GB) are not cheap on cloudgpu.app. If the model fits on a consumer card, the consumer card is the better deal. The prices here are the same numbers the billing system charges.
Qwen3.8 27B is also available through the CloudGPU API as `qwen3.8-27b` (base URL https://cloudgpu.app/v1), with no GPU to rent.
Questions about running Qwen3.8 27B
How much VRAM does Qwen3.8 27B need?
Qwen3.8 27B has 27B parameters. The FP16 weights take about 54 GB; at Q4_K_M the weights take about 17 GB. Add 1 to 8 GB for the KV cache depending on context length and batch size.
What is the cheapest GPU that runs Qwen3.8 27B?
On cloudgpu.app the lowest-priced card we recommend for Qwen3.8 27B is the RTX 3090 24G with 24 GB at $0.21 per hour (Q4 fits with 16k context). Prices read 2026-10-23; the pricing page shows live stock.
Can I run Qwen3.8 27B on an RTX 4090 with 24 GB?
Yes. On a 24 GB card: Q4 fits with 16k context. An RTX 4090 24 GB is $0.33 per hour on cloudgpu.app; the RTX 3090 24 GB at $0.21 per hour has the same VRAM and is slower but cheaper.
What does it cost per hour to run Qwen3.8 27B on cloudgpu.app?
From $0.21 per hour on the RTX 3090 24G, billed per minute. A 20-minute test is about $0.07; one hour is pre-authorised while the instance runs and unused minutes go back to your balance when you destroy the instance. Cards in higher VRAM classes cost more; the table above lists each.
How do I start Qwen3.8 27B on a rented GPU?
Rent a card from the table above with the JupyterLab image, then install the runtime you prefer and download the Qwen3.8 27B weights. You get SSH and JupyterLab; if you destroy the instance early, the unused minutes of the pre-authorised hour go back to your balance.
Do I need a credit card or a Chinese account?
No Chinese account, phone number or ID is required. You can pay by card (Visa or Mastercard, any amount from $5) or USDT (TRC-20). Your first top-up of $10 or more earns a $5 bonus, credited once you've used up the $10 you paid in.