Can I Run Poolside Laguna XS 2.1 on NVIDIA L40S?
Written by Jakub Rusinowski · Last updated August 15, 2026
Yes, comfortably — Laguna XS 2.1 33B-A3B at Q4_K_M needs 22.6 GB at 8K context (19.9 GB weights + 2.7 GB KV cache/overhead), leaving ~25.4 GB of the NVIDIA L40S's 48 GB, at ~177 tok/s (est.), with room for up to 64K context.
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NVIDIA L40S Specs
| VRAM | 48 GB |
| Memory Bandwidth | 864 GB/s |
Laguna XS 2.1 33B-A3B on the NVIDIA L40S: VRAM by quantization
| Quant | VRAM needed | Fits 48 GB? | Max context | Whole PC |
|---|---|---|---|---|
| F16 | 68.6 GB | ✗ No | — | — |
| Q8_0 | 37.7 GB | ✓ Yes | 32K | — |
| Q6_K | 29.7 GB | ✓ Yes | 64K | — |
| Q5_K_M | 26 GB | ✓ Yes | 64K | — |
| Q4_K_M | 22.6 GB | ✓ Yes | 64K | — |
| Q3_K_M | 16.7 GB | ✓ Yes | 128K | — |
| Q2_K | 13.5 GB | ✓ Yes | 128K | — |
Assumes an 8K-token context with an f16 KV cache, on an estimated architecture — this model publishes no config we can read. 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 22.6 GB · 32K 28.1 GB · 128K 50.3 GB ✗. Past 128K it no longer fits 48 GB — a q8_0 KV cache buys roughly half of that back, which the calculator will price for you.
No compatible GPU? Laguna XS 2.1 33B-A3B on 24 GB of system RAM, CPU only: runs.
Poolside Laguna XS 2.1 Sizes That Fit the NVIDIA L40S (at 8K context)
| Laguna XS 2.1 33B-A3B | Q4_K_M · 22.6 GB at 8K context · ~177 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
Does the NVIDIA L40S have enough VRAM for Poolside Laguna XS 2.1?
Yes, comfortably — Laguna XS 2.1 33B-A3B at Q4_K_M needs 22.6 GB at 8K context (19.9 GB weights + 2.7 GB KV cache/overhead), leaving ~25.4 GB of the NVIDIA L40S's 48 GB, at ~177 tok/s (est.), with room for up to 64K context.
Which quantization of Poolside Laguna XS 2.1 should I use on the NVIDIA L40S?
Laguna XS 2.1 33B-A3B at Q4_K_M quantization needs 22.6 GB at 8K context (19.9 GB weights + 2.7 GB KV cache/overhead), estimated ~177 tokens/sec, up to 64K context.
Poolside Laguna XS 2.1 on Other GPUs
- Poolside Laguna XS 2.1 on NVIDIA RTX 6000 Ada Generation
- Poolside Laguna XS 2.1 on Apple M3 Pro
- Poolside Laguna XS 2.1 on NVIDIA GeForce RTX 5090
- Poolside Laguna XS 2.1 on Apple M4
- Poolside Laguna XS 2.1 on Apple M2 Pro
Popular Models on the NVIDIA L40S
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