Home / Models / Mixtral 8x22B Instruct / NVIDIA RTX A1000 8 GB
Can Mixtral 8x22B Instruct run on NVIDIA RTX A1000 8 GB?
No. Estimated memory for Mixtral 8x22B Instruct exceeds NVIDIA RTX A1000 8 GB, including the modeled offload allowance.
Can it run?
- Can it run?
- No (calculated estimate).
- Full GPU fit?
- No
- Model
- Mixtral 8x22B Instruct · 141B
- GPU
- NVIDIA RTX A1000 8 GB · 8 GB advertised
What else can NVIDIA RTX A1000 8 GB run? · Find other GPUs for Mixtral 8x22B Instruct · See 2× multi-GPU options
Memory calculation
Breakdown for Q4 at 8K context, batch size 1. Calculator v1.0.0.
| Model weights | 82.7 GB |
|---|---|
| KV cache | 1.8 GB |
| Runtime reserve | 4.6 GB |
| Safety margin | 2.7 GB |
| Required (estimated) | 91.8 GB |
| GPU usable VRAM | 7.2 GB |
Result: DOES NOT FIT
Quantization table
| Quantization | 2K | 4K | 8K | 16K | 32K | 64K |
|---|---|---|---|---|---|---|
| BF16 | No | No | No | No | No | No |
| FP16 | No | No | No | No | No | No |
| Q3 | No | No | No | No | No | No |
| Q4 | No | No | No | No | No | No |
| Q5 | No | No | No | No | No | No |
| Q6 | No | No | No | No | No | No |
| Q8 | No | No | No | No | No | No |
What fits entirely in VRAM?
No calculated full-VRAM fit at the evaluated quantizations and context lengths.
What requires RAM offload?
Offload is shown only when the model does not fully fit in usable VRAM but stays within the modeled offload allowance.
Performance
No llama.cpp performance result is published for this pair yet. Memory fit above is unchanged. How performance is calculated
Available graphics cards
These SKUs use this GPU chip. Amazon CTAs appear only for EXACT/HIGH matches. Absence of a price does not change the compatibility result above.
Lenovo 4X61Q73041 graphics card NVIDIA RTX A1000 8 GB GDDR6
8 GB · Amazon EXACT
$498.99
Check price on Amazon
HP NVIDIA RTX A1000 8 GB with Mini Bracket 4mDP Graphics
8 GB · Amazon EXACT
$834.00
Check price on AmazonSources
Model: official config mistralai/Mixtral-8x22B-Instruct-v0.1 (main). GPU/product specs: Icecat. Compatibility: RigForAI calculator v1.0.0 estimated VRAM · Q8 at 8K: DOES_NOT_FIT. Amazon: affiliate commerce match, not a spec source.