allocateQwen 3.5 235B GPU requirements
What it takes to run Qwen 3.5 235B (MoE) locally: memory by quantization, the smallest GPU that fits, and the managed alternative.
Smallest single device that fits: B200 (192 GB)
Or skip the hardware: run Qwen 3.5 235B on Allocate, token-metered.
How it works
Common questions
How much VRAM does Qwen 3.5 235B need?
At 8K context: roughly 521 GB at FP16, 260 GB at 8-bit, and 143 GB at 4-bit, including KV cache and runtime overhead. Longer context adds memory linearly.
Can a single GPU run Qwen 3.5 235B?
At 4-bit, yes: a B200 (192 GB) or larger handles it at 8K context. At FP16 you need multiple devices.
Why does Qwen 3.5 235B need so much memory as a MoE model?
Only some experts activate per token, which sets speed, but all 235 billion parameters must sit in memory. MoE trades memory for throughput.
What license is Qwen 3.5 235B under?
Apache 2.0. Permissive: run it, fine-tune it, and own the result.
Is there an alternative to buying GPUs for Qwen 3.5 235B?
Yes: managed inference. Allocate serves Qwen 3.5 235B token-metered inside your own boundary, and if you fine-tune it on your data, the weights belong to you. Idle time costs nothing.
More free tools
Allocate serves Qwen 3.5 235B token-metered inside your own boundary. No hardware to buy, and if you fine-tune it on your data, the weights are yours.