❌ ÜBERSCHREITET EINZEL-GPU VRAM (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.

🎛️ Interaktiver VRAM-, Kontext- & Offload-Konfigurator

📊 Echtzeit-Speicher- & Performance-Telemetrie

378.7 GB / 128 GB
🟦 Modellgewichte: 377.67 GB 🟪 KV-Cache: 0.54 GB 🟨 Engine-Puffer: 0.5 GB
Benötigter GPU-VRAM378.7 GB
Benötigter System-RAM (CPU)0.00 GB
Verfügbarer Hardware-VRAM128 GB (1x Apple M4 Max (128GB Unified))
VRAM-Reserve / Defizit-250.70 GB
Geschätzte Decode-Geschwindigkeit~3.7 tokens/sec
Geschätzte Prefill-Geschwindigkeit~259 tokens/sec
Time-to-First-Token (4K Prompt)~15839 ms
Transformer-TopologieMLA-MoE (61L, 8/128 KV/Q heads)

🚀 Startbefehl (vLLM / llama.cpp / Ollama)

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
CLOUD-GPU PREISVERGLEICH & MIETEN-VS-KAUFEN RECHNER

Nicht genug lokaler VRAM? Cloud-GPU in 60 Sekunden starten (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

Amortisationszeit (Kauf vs. Miete): ~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 Auf RunPod starten →
Vast.ai $0.29 / hr $0.95 / hr $1.79 / hr $34.80 / mo Save 50–70% on RTX 4090 / 5090 / A100 rentals Spot-GPU mieten →
Vultr Cloud GPU — $1.79 / hr $2.69 / hr $214.80 / mo (A100) $300 Free Credit $300 Guthaben sichern →
DigitalOcean GPU — — $2.99 / hr $358.80 / mo (H100) $200 Free Credit (60d) $200 Startguthaben →

Alle Quantisierungsstufen im Detail: 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 Nein (+1122.9GB) ~1.2 / 259 tok/s 10x
FP8 (W8A8 / E4M3) 8.25 / 8.5 644.5 GB 0.54 GB 645.53 GB Nein (+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 Nein (+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 Nein (+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 Nein (+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 Nein (+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 Nein (+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 Nein (+178.7GB) ~5.1 / 259 tok/s 3x

Dieses Modell auf anderen GPUs testen

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)

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