❌ EXCEDE LA VRAM DE 1 GPU (NEEDS 8x 2x NVIDIA RTX 4090 (48GB))

DeepSeek-V3-0324 671B (MoE) on 2x NVIDIA RTX 4090 (48GB) (48GB VRAM)

You need 8x 2x NVIDIA RTX 4090 (48GB) (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 / 48 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 Hardware48 GB (1x 2x NVIDIA RTX 4090 (48GB))
Margen / Déficit de VRAM-330.70 GB
Velocidad de Generación (Decode)~3 tokens/sec
Velocidad de Procesamiento (Prefill)~2322 tokens/sec
Tiempo al Primer Token (Prompt 4K)~1764 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 $3,400 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) × 2x NVIDIA RTX 4090 (48GB)

Quantization Format Core / Emb BPW Weights (GiB) KV Cache (8K) Total VRAM 1x 2x NVIDIA RTX 4090 (48GB) (48GB) Decode / Prefill Min GPUs
FP16 / BF16 (Unquantized) 16 / 16 1249.83 GB 0.54 GB 1250.87 GB No (+1202.9GB) ~1.2 / 2322 tok/s 27x
FP8 (W8A8 / E4M3) 8.25 / 8.5 644.5 GB 0.54 GB 645.53 GB No (+597.5GB) ~1.7 / 2322 tok/s 14x
GGUF Q8_0 (8.50 bpw) 8.5 / 8.5 663.97 GB 0.54 GB 665.01 GB No (+617.0GB) ~1.6 / 2322 tok/s 14x
GGUF Q6_K (6.56 bpw) 6.56 / 6.56 512.43 GB 0.54 GB 513.46 GB No (+465.5GB) ~2.1 / 2322 tok/s 11x
GGUF Q5_K_M (5.69 bpw) 5.69 / 6.56 444.66 GB 0.54 GB 445.69 GB No (+397.7GB) ~2.5 / 2322 tok/s 10x
GGUF Q4_K_M / AWQ (4.83 bpw) 4.83 / 6.56 377.67 GB 0.54 GB 378.7 GB No (+330.7GB) ~3 / 2322 tok/s 8x
GGUF IQ4_XS (4.25 bpw) 4.25 / 5.5 332.26 GB 0.54 GB 333.29 GB No (+285.3GB) ~3.5 / 2322 tok/s 7x
GGUF Q3_K_M (3.91 bpw) 3.91 / 5 305.66 GB 0.54 GB 306.7 GB No (+258.7GB) ~3.8 / 2322 tok/s 7x

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 4060 Ti 16GB (16GB)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)

Otros Modelos en esta GPU

DeepSeek-R1 671B (MoE) on 2x NVIDIA RTX 4090 (48GB)DeepSeek-R1-Distill-Llama-70B on 2x NVIDIA RTX 4090 (48GB)DeepSeek-R1-Distill-Qwen-32B on 2x NVIDIA RTX 4090 (48GB)DeepSeek-R1-Distill-Qwen-14B on 2x NVIDIA RTX 4090 (48GB)DeepSeek-R1-Distill-Llama-8B on 2x NVIDIA RTX 4090 (48GB)DeepSeek-R1-Distill-Qwen-7B on 2x NVIDIA RTX 4090 (48GB)Qwen3-235B-A22B (MoE) on 2x NVIDIA RTX 4090 (48GB)Qwen3-30B-A3B (MoE) on 2x NVIDIA RTX 4090 (48GB)Qwen3-32B on 2x NVIDIA RTX 4090 (48GB)Qwen3-14B on 2x NVIDIA RTX 4090 (48GB)