❌ EXCEDE LA VRAM DE 1 GPU (NEEDS 3x Apple M4 Max (128GB Unified))

DeepSeek-V3-0324 671B (MoE) on Apple M4 Max (128GB Unified) (128GB VRAM)

You need 3x Apple M4 Max (128GB Unified) (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 / 128 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 Hardware128 GB (1x Apple M4 Max (128GB Unified))
Margen / Déficit de VRAM-250.70 GB
Velocidad de Generación (Decode)~3.7 tokens/sec
Velocidad de Procesamiento (Prefill)~259 tokens/sec
Tiempo al Primer Token (Prompt 4K)~15839 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 $4,699 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) × Apple M4 Max (128GB Unified)

Quantization Format Core / Emb BPW Weights (GiB) KV Cache (8K) Total VRAM 1x Apple M4 Max (128GB Unified) (128GB) Decode / Prefill Min GPUs
FP16 / BF16 (Unquantized) 16 / 16 1249.83 GB 0.54 GB 1250.87 GB No (+1122.9GB) ~1.2 / 259 tok/s 10x
FP8 (W8A8 / E4M3) 8.25 / 8.5 644.5 GB 0.54 GB 645.53 GB No (+517.5GB) ~1.9 / 259 tok/s 6x
GGUF Q8_0 (8.50 bpw) 8.5 / 8.5 663.97 GB 0.54 GB 665.01 GB No (+537.0GB) ~1.8 / 259 tok/s 6x
GGUF Q6_K (6.56 bpw) 6.56 / 6.56 512.43 GB 0.54 GB 513.46 GB No (+385.5GB) ~2.5 / 259 tok/s 5x
GGUF Q5_K_M (5.69 bpw) 5.69 / 6.56 444.66 GB 0.54 GB 445.69 GB No (+317.7GB) ~3 / 259 tok/s 4x
GGUF Q4_K_M / AWQ (4.83 bpw) 4.83 / 6.56 377.67 GB 0.54 GB 378.7 GB No (+250.7GB) ~3.7 / 259 tok/s 3x
GGUF IQ4_XS (4.25 bpw) 4.25 / 5.5 332.26 GB 0.54 GB 333.29 GB No (+205.3GB) ~4.5 / 259 tok/s 3x
GGUF Q3_K_M (3.91 bpw) 3.91 / 5 305.66 GB 0.54 GB 306.7 GB No (+178.7GB) ~5.1 / 259 tok/s 3x

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 Apple M4 Max (128GB Unified)DeepSeek-R1-Distill-Llama-70B on Apple M4 Max (128GB Unified)DeepSeek-R1-Distill-Qwen-32B on Apple M4 Max (128GB Unified)DeepSeek-R1-Distill-Qwen-14B on Apple M4 Max (128GB Unified)DeepSeek-R1-Distill-Llama-8B on Apple M4 Max (128GB Unified)DeepSeek-R1-Distill-Qwen-7B on Apple M4 Max (128GB Unified)Qwen3-235B-A22B (MoE) on Apple M4 Max (128GB Unified)Qwen3-30B-A3B (MoE) on Apple M4 Max (128GB Unified)Qwen3-32B on Apple M4 Max (128GB Unified)Qwen3-14B on Apple M4 Max (128GB Unified)