❌ EXCEDE LA VRAM DE 1 GPU (NEEDS 24x NVIDIA RTX 4060 Ti 16GB)
DeepSeek-V3-0324 671B (MoE) on NVIDIA RTX 4060 Ti 16GB (16GB VRAM)
You need 24x NVIDIA RTX 4060 Ti 16GB (384 GB total VRAM) for full GPU execution, or rent an A100/H100 80GB cloud instance.
🎛️ Ajustador Interactivo de VRAM, Contexto y Offload
📊 Telemetría de Memoria y Rendimiento en Tiempo Real
378.7 GB / 16 GB
🟦 Pesos del Modelo: 377.67 GB
🟪 Caché KV: 0.54 GB
🟨 Buffer del Motor: 0.5 GB
VRAM de GPU Requerida378.7 GB
RAM de Sistema Requerida (CPU)0.00 GB
VRAM Disponible en Hardware16 GB (1x NVIDIA RTX 4060 Ti 16GB)
Margen / Déficit de VRAM-362.70 GB
Velocidad de Generación (Decode)~2.7 tokens/sec
Velocidad de Procesamiento (Prefill)~310 tokens/sec
Tiempo al Primer Token (Prompt 4K)~13218 ms
Topología TransformerMLA-MoE (61L, 8/128 KV/Q heads)
🚀 Comando de Lanzamiento Listo para Copiar
ollama run deepseek-v3:671b # Or llama.cpp server (8K context, Flash Attention): llama-server -hf deepseek-ai/DeepSeek-V3-0324-GGUF -c 8192 -ngl 99 -fa
COMPARADOR CLOUD GPU Y CALCULADORA ALQUILAR VS COMPRAR
¿No tienes suficiente VRAM? Alquila una GPU en la nube en 60 segundos (DeepSeek-V3-0324 671B (MoE): 378.7 GB in 4-bit)
Recommended Cloud Tier: Multi-GPU H100 / H200 Node · Full FP16 Needs: 1251.32 GB
Meses para amortizar compra vs alquiler: ~32 months (vs $449 hardware)
| Cloud Provider | RTX 4090 (24GB) | A100 (80GB) | H100 (80GB) | Est. Monthly Cost (4h/day) | Free Credit / Trial | Deploy |
|---|---|---|---|---|---|---|
| RunPod | $0.44 / hr | $1.39 / hr | $2.39 / hr | $52.80 / mo | Instant PyTorch / vLLM Templates + Serverless GPU | Desplegar en RunPod → |
| Vast.ai | $0.29 / hr | $0.95 / hr | $1.79 / hr | $34.80 / mo | Save 50–70% on RTX 4090 / 5090 / A100 rentals | Alquilar GPU Spot → |
| Vultr Cloud GPU | — | $1.79 / hr | $2.69 / hr | $214.80 / mo (A100) | $300 Free Credit | Reclamar $300 Gratis → |
| DigitalOcean GPU | — | — | $2.99 / hr | $358.80 / mo (H100) | $200 Free Credit (60d) | Obtener $200 Gratis → |
Desglose Completo por Formato de Cuantización: DeepSeek-V3-0324 671B (MoE) × NVIDIA RTX 4060 Ti 16GB
| Quantization Format | Core / Emb BPW | Weights (GiB) | KV Cache (8K) | Total VRAM | 1x NVIDIA RTX 4060 Ti 16GB (16GB) | Decode / Prefill | Min GPUs |
|---|---|---|---|---|---|---|---|
| FP16 / BF16 (Unquantized) | 16 / 16 | 1249.83 GB | 0.54 GB | 1250.87 GB | No (+1234.9GB) | ~1.2 / 310 tok/s | 79x |
| FP8 (W8A8 / E4M3) | 8.25 / 8.5 | 644.5 GB | 0.54 GB | 645.53 GB | No (+629.5GB) | ~1.6 / 310 tok/s | 41x |
| GGUF Q8_0 (8.50 bpw) | 8.5 / 8.5 | 663.97 GB | 0.54 GB | 665.01 GB | No (+649.0GB) | ~1.6 / 310 tok/s | 42x |
| GGUF Q6_K (6.56 bpw) | 6.56 / 6.56 | 512.43 GB | 0.54 GB | 513.46 GB | No (+497.5GB) | ~2 / 310 tok/s | 33x |
| GGUF Q5_K_M (5.69 bpw) | 5.69 / 6.56 | 444.66 GB | 0.54 GB | 445.69 GB | No (+429.7GB) | ~2.3 / 310 tok/s | 28x |
| GGUF Q4_K_M / AWQ (4.83 bpw) | 4.83 / 6.56 | 377.67 GB | 0.54 GB | 378.7 GB | No (+362.7GB) | ~2.7 / 310 tok/s | 24x |
| GGUF IQ4_XS (4.25 bpw) | 4.25 / 5.5 | 332.26 GB | 0.54 GB | 333.29 GB | No (+317.3GB) | ~3.1 / 310 tok/s | 21x |
| GGUF Q3_K_M (3.91 bpw) | 3.91 / 5 | 305.66 GB | 0.54 GB | 306.7 GB | No (+290.7GB) | ~3.4 / 310 tok/s | 20x |
Probar este Modelo en Otras GPUs
DeepSeek-V3-0324 671B (MoE) on NVIDIA RTX 5090 (32GB)DeepSeek-V3-0324 671B (MoE) on NVIDIA RTX 4090 (24GB)DeepSeek-V3-0324 671B (MoE) on NVIDIA RTX 5080 (16GB)DeepSeek-V3-0324 671B (MoE) on NVIDIA RTX 4080 Super (16GB)DeepSeek-V3-0324 671B (MoE) on NVIDIA RTX 4070 Ti Super (16GB)DeepSeek-V3-0324 671B (MoE) on NVIDIA RTX 3090 (24GB)DeepSeek-V3-0324 671B (MoE) on NVIDIA RTX 3060 12GB (12GB)DeepSeek-V3-0324 671B (MoE) on NVIDIA RTX 6000 Ada (48GB)DeepSeek-V3-0324 671B (MoE) on NVIDIA RTX A6000 (48GB)DeepSeek-V3-0324 671B (MoE) on NVIDIA L40S 48GB (48GB)
Otros Modelos en esta GPU
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