❌ EXCEDE LA VRAM DE 1 GPU (NEEDS 24x NVIDIA RTX 4080 Super)

DeepSeek-R1 671B (MoE) on NVIDIA RTX 4080 Super (16GB VRAM)

You need 24x NVIDIA RTX 4080 Super (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 4080 Super)
Margen / Déficit de VRAM-362.70 GB
Velocidad de Generación (Decode)~2.8 tokens/sec
Velocidad de Procesamiento (Prefill)~734 tokens/sec
Tiempo al Primer Token (Prompt 4K)~5583 ms
Topología TransformerMLA-MoE (61L, 8/128 KV/Q heads)

🚀 Comando de Lanzamiento Listo para Copiar

ollama run deepseek-r1:671b
# Or llama.cpp server (8K context, Flash Attention):
llama-server -hf deepseek-ai/DeepSeek-R1-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-R1 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 $999 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-R1 671B (MoE) × NVIDIA RTX 4080 Super

Quantization Format Core / Emb BPW Weights (GiB) KV Cache (8K) Total VRAM 1x NVIDIA RTX 4080 Super (16GB) Decode / Prefill Min GPUs
FP16 / BF16 (Unquantized) 16 / 16 1249.83 GB 0.54 GB 1250.87 GB No (+1234.9GB) ~1.2 / 734 tok/s 79x
FP8 (W8A8 / E4M3) 8.25 / 8.5 644.5 GB 0.54 GB 645.53 GB No (+629.5GB) ~1.6 / 734 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 / 734 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 / 734 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 / 734 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) ~2.8 / 734 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 / 734 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 / 734 tok/s 20x

Probar este Modelo en Otras GPUs

DeepSeek-R1 671B (MoE) on NVIDIA RTX 5090 (32GB)DeepSeek-R1 671B (MoE) on NVIDIA RTX 4090 (24GB)DeepSeek-R1 671B (MoE) on NVIDIA RTX 5080 (16GB)DeepSeek-R1 671B (MoE) on NVIDIA RTX 4070 Ti Super (16GB)DeepSeek-R1 671B (MoE) on NVIDIA RTX 3090 (24GB)DeepSeek-R1 671B (MoE) on NVIDIA RTX 4060 Ti 16GB (16GB)DeepSeek-R1 671B (MoE) on NVIDIA RTX 3060 12GB (12GB)DeepSeek-R1 671B (MoE) on NVIDIA RTX 6000 Ada (48GB)DeepSeek-R1 671B (MoE) on NVIDIA RTX A6000 (48GB)DeepSeek-R1 671B (MoE) on NVIDIA L40S 48GB (48GB)

Otros Modelos en esta GPU

DeepSeek-V3-0324 671B (MoE) on NVIDIA RTX 4080 SuperDeepSeek-R1-Distill-Llama-70B on NVIDIA RTX 4080 SuperDeepSeek-R1-Distill-Qwen-32B on NVIDIA RTX 4080 SuperDeepSeek-R1-Distill-Qwen-14B on NVIDIA RTX 4080 SuperDeepSeek-R1-Distill-Llama-8B on NVIDIA RTX 4080 SuperDeepSeek-R1-Distill-Qwen-7B on NVIDIA RTX 4080 SuperQwen3-235B-A22B (MoE) on NVIDIA RTX 4080 SuperQwen3-30B-A3B (MoE) on NVIDIA RTX 4080 SuperQwen3-32B on NVIDIA RTX 4080 SuperQwen3-14B on NVIDIA RTX 4080 Super