GigaChat Lightning 10B on NVIDIA GeForce RTX 4090
Yes — RTX 4090 handles GigaChat Lightning 10B well at Q8_0 — 110 tok/s. Solid daily-driver performance on 24 GB VRAM.
Model Size
10B
Device VRAM
24 GB
Bandwidth
1008 GB/s
Quantization
Q8_0
Performance by Quantization
OwnRig currently has one published compatibility entry for GigaChat Lightning 10B on NVIDIA GeForce RTX 4090 at Q8_0. This is the best supported pairing we can stand behind today.
| Quantization | Speed | TTFT | Fits in VRAM | Rating | Confidence |
|---|---|---|---|---|---|
| Q8_0 | 110 tok/s | 55ms | ✓ Yes | Good | estimated |
Notes
Q8_0
Q8_0 fits in 24GB with 13GB headroom. Small MoE model; 1.8B active per token keeps decode speed high once loaded.
About GigaChat Lightning 10B
GigaChat Lightning 10B (10B) is a chat, multi-purpose model. Compact MoE model with 10B total parameters and around 1.8B active per token. Interesting efficiency play for chat workloads that want MoE-style speed without the memory cost of larger expert models.
View all GigaChat Lightning 10B hardware options →About NVIDIA GeForce RTX 4090
NVIDIA GeForce RTX 4090 has 24 GB at 1008 GB/s. Street price: $1,799.
See all models NVIDIA GeForce RTX 4090 can run →Builds with NVIDIA GeForce RTX 4090
Estimate method: Estimated from small-model MoE benchmarks and bandwidth scaling. Reference hardware source: github.com (2026-03-24)
Performance varies by driver version, inference engine, quantization method, context length, and system configuration. Figures shown are estimates based on community benchmarks and may not reflect your exact setup. Product names are trademarks of their respective owners. OwnRig is independent and not affiliated with any hardware or AI model provider.