❌ EXCEDE LA VRAM DE 1 GPU (NEEDS 2x Apple M4 Max (128GB Unified))
Llama-4-Maverick-17B-128E (400B MoE) on Apple M4 Max (128GB Unified) (128GB VRAM)
You need 2x Apple M4 Max (128GB Unified) (256 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
227.32 GB / 128 GB
🟦 Pesos del Modelo: 225.33 GB
🟪 Caché KV: 1.5 GB
🟨 Buffer del Motor: 0.49 GB
VRAM de GPU Requerida227.32 GB
RAM de Sistema Requerida (CPU)0.00 GB
VRAM Disponible en Hardware128 GB (1x Apple M4 Max (128GB Unified))
Margen / Déficit de VRAM-99.32 GB
Velocidad de Generación (Decode)~11 tokens/sec
Velocidad de Procesamiento (Prefill)~556 tokens/sec
Tiempo al Primer Token (Prompt 4K)~7363 ms
Topología TransformerMoE-GQA (48L, 8/40 KV/Q heads)
🚀 Comando de Lanzamiento Listo para Copiar
ollama run llama4:maverick # Or llama.cpp server (8K context, Flash Attention): llama-server -hf meta-llama/Llama-4-Maverick-17B-128E-Instruct-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 (Llama-4-Maverick-17B-128E (400B MoE): 227.32 GB in 4-bit)
Recommended Cloud Tier: Multi-GPU H100 / H200 Node · Full FP16 Needs: 747.5 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: Llama-4-Maverick-17B-128E (400B 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 | 745.06 GB | 1.5 GB | 747.05 GB | No (+619.0GB) | ~2 / 556 tok/s | 6x |
| FP8 (W8A8 / E4M3) | 8.25 / 8.5 | 384.23 GB | 1.5 GB | 386.22 GB | No (+258.2GB) | ~4.6 / 556 tok/s | 4x |
| GGUF Q8_0 (8.50 bpw) | 8.5 / 8.5 | 395.81 GB | 1.5 GB | 397.8 GB | No (+269.8GB) | ~4.5 / 556 tok/s | 4x |
| GGUF Q6_K (6.56 bpw) | 6.56 / 6.56 | 305.47 GB | 1.5 GB | 307.46 GB | No (+179.5GB) | ~6.5 / 556 tok/s | 3x |
| GGUF Q5_K_M (5.69 bpw) | 5.69 / 6.56 | 265.17 GB | 1.5 GB | 267.16 GB | No (+139.2GB) | ~8.2 / 556 tok/s | 3x |
| GGUF Q4_K_M / AWQ (4.83 bpw) | 4.83 / 6.56 | 225.33 GB | 1.5 GB | 227.32 GB | No (+99.3GB) | ~11 / 556 tok/s | 2x |
| GGUF IQ4_XS (4.25 bpw) | 4.25 / 5.5 | 198.21 GB | 1.5 GB | 200.2 GB | No (+72.2GB) | ~14.3 / 556 tok/s | 2x |
| GGUF Q3_K_M (3.91 bpw) | 3.91 / 5 | 182.34 GB | 1.5 GB | 184.33 GB | No (+56.3GB) | ~17.3 / 556 tok/s | 2x |
Probar este Modelo en Otras GPUs
Llama-4-Maverick-17B-128E (400B MoE) on NVIDIA RTX 5090 (32GB)Llama-4-Maverick-17B-128E (400B MoE) on NVIDIA RTX 4090 (24GB)Llama-4-Maverick-17B-128E (400B MoE) on NVIDIA RTX 5080 (16GB)Llama-4-Maverick-17B-128E (400B MoE) on NVIDIA RTX 4080 Super (16GB)Llama-4-Maverick-17B-128E (400B MoE) on NVIDIA RTX 4070 Ti Super (16GB)Llama-4-Maverick-17B-128E (400B MoE) on NVIDIA RTX 3090 (24GB)Llama-4-Maverick-17B-128E (400B MoE) on NVIDIA RTX 4060 Ti 16GB (16GB)Llama-4-Maverick-17B-128E (400B MoE) on NVIDIA RTX 3060 12GB (12GB)Llama-4-Maverick-17B-128E (400B MoE) on NVIDIA RTX 6000 Ada (48GB)Llama-4-Maverick-17B-128E (400B MoE) on NVIDIA RTX A6000 (48GB)
Otros Modelos en esta GPU
DeepSeek-R1 671B (MoE) on Apple M4 Max (128GB Unified)DeepSeek-V3-0324 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)