Can I Run Yi 1.5 Family on NVIDIA L40S?
Written by Jakub Rusinowski · Last updated July 21, 2026
Yes, comfortably — Yi 1.5 34B Chat at Q4_K_M needs 23.6 GB at 8K context (20.8 GB weights + 2.8 GB KV cache/overhead), leaving ~24.4 GB of the NVIDIA L40S's 48 GB, at ~34 tok/s (est.), with room for up to 16K context.
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NVIDIA L40S Specs
| VRAM | 48 GB |
| Memory Bandwidth | 864 GB/s |
Yi 1.5 34B Chat on the NVIDIA L40S: VRAM by quantization
| Quant | VRAM needed | Fits 48 GB? | Max context | Whole PC |
|---|---|---|---|---|
| F16 | 71.6 GB | ✗ No | — | — |
| Q8_0 | 39.4 GB | ✓ Yes | 16K | — |
| Q6_K | 31 GB | ✓ Yes | 16K | — |
| Q5_K_M | 27.2 GB | ✓ Yes | 16K | — |
| Q4_K_M | 23.6 GB | ✓ Yes | 16K | — |
| Q3_K_M | 17.5 GB | ✓ Yes | 16K | — |
| Q2_K | 14.1 GB | ✓ Yes | 16K | — |
Assumes an 8K-token context with an f16 KV cache. A longer window needs more; a quantized KV cache needs less. “Max context” is the largest window that still fits in 48 GB. Figures are estimates from parameter count, quantization and memory bandwidth — the analyzer lets you tune KV-cache quant and context.
Context costs VRAM too. At Q4_K_M on the NVIDIA L40S: 8K 23.6 GB · 31K 29.4 GB. Every window this model publishes still fits 48 GB.
No compatible GPU? Yi 1.5 34B Chat on 32 GB of system RAM, CPU only: runs comfortably.
Yi 1.5 Family Sizes That Fit the NVIDIA L40S (at 8K context)
| Yi 1.5 34B Chat | Q4_K_M · 23.6 GB at 8K context · ~34 tok/s (est.) |
| Yi 1.5 9B Chat | Q4_K_M · 6.9 GB at 8K context · ~106 tok/s (est.) |
At 2 hrs/day, buying (~$7,499) beats renting at $0.34/hr after about 30.6 years.
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Cloud rates verified 2026-07 — estimates, and marketplace prices vary. Buying price is GPU MSRP only, not a full PC.
FAQ
Will Yi 1.5 Family run on the NVIDIA L40S?
Yes, comfortably — Yi 1.5 34B Chat at Q4_K_M needs 23.6 GB at 8K context (20.8 GB weights + 2.8 GB KV cache/overhead), leaving ~24.4 GB of the NVIDIA L40S's 48 GB, at ~34 tok/s (est.), with room for up to 16K context.
Which Yi 1.5 Family variant fits best on the NVIDIA L40S?
Yi 1.5 34B Chat at Q4_K_M quantization needs 23.6 GB at 8K context (20.8 GB weights + 2.8 GB KV cache/overhead), estimated ~34 tokens/sec, up to 16K context.
Every Yi 1.5 Family size on the NVIDIA L40S
| Size | VRAM at 8K | Verdict | Speed |
|---|---|---|---|
| Yi 1.5 34B Chat | 23.6 GB | Runs | ~34 tok/s |
| Yi 1.5 9B Chat | 6.9 GB | Runs | ~106 tok/s |
Yi 1.5 Family on Other GPUs
- Yi 1.5 Family on NVIDIA RTX 6000 Ada Generation
- Yi 1.5 Family on Apple M3 Pro
- Yi 1.5 Family on NVIDIA GeForce RTX 5090
- Yi 1.5 Family on Apple M4
- Yi 1.5 Family on Apple M2 Pro
Popular Models on the NVIDIA L40S
VRAM Tier
Troubleshooting
Buying Guide
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