RTX 5070
60 AI models fit in 12 GB VRAM at Q4 native. 21 more run with CPU offloading. Real benchmarks below.
llama.cpp 0.2.x · CUDA 12 · Ubuntu 22.04 · Prices verified on Amazon · methodology →
Execution Context
Aktuelles Angebot prüfen
Amazon affiliate link for RTX 5070
Einige Links sind Amazon-Partnerlinks. Wir koennen ohne Mehrkosten fuer Sie eine Provision erhalten. Amazon-Cookies koennen nach Ihrem Klick bis zu 24 Stunden bestehen.
Full Specifications
NVIDIA · 2025-02
| VRAM | 12 GB GDDR7 |
| Bandwidth | 672 GB/s |
| FP16 TFLOPS | 32 |
| AI Score | 56 / 140 |
| CUDA Cores | 6,144 |
| Tensor Cores | 192 |
| TDP | 250 W |
| PCIe | Gen 5 |
| Slots | 2 |
| Power Connector | 16-pin |
| Price Band | Mittelklasse |
| Released | 2025-02 |
AI Benchmarks
Real inference measurements — llama.cpp Q4_K_M
| Task | Result |
|---|---|
| Llama 1B Q4 | 353 tok/s |
| Llama 3B Q4 | 141 tok/s |
| Llama 7B Q4 | 58 tok/s |
| Llama 13B Q4 | 31 tok/s |
| Llama 30B Q4 | VRAM N/A |
| Llama 70B Q4 | Offload or multi-GPU |
| Stable Diffusion 512px | 3s / img |
| Whisper Large RTF | 0.4x |
RTF < 1.0 = faster than real time. For Stable Diffusion and Whisper lower is better; for tokens/s higher is better.
Compare RTX 5070 with another GPU
Is an upgrade worth it? Compare specs and real benchmarks side by side.
Open comparator →Compatible AI Models — RTX 5070
60 models run fully in VRAM · 21 with CPU offloading
Flux.1 Dev
Whisper Large V3
Stable Diffusion 3.5 Large
Stable Diffusion 3.5 Medium
Phi-4
Stable Diffusion 3 Medium
Flux.1 Schnell
DeepSeek R1 Distill 14B
Show all 60 compatible models →
Also runs with CPU offloading (21)
- FLUX.2 Dev 8.8 GB Q2
- Qwen2.5-Coder 32B 9.6 GB Q2 How to install →
- DeepSeek R1 Distill 32B 9.6 GB Q2 How to install →
- Qwen2.5 32B 9.6 GB Q2 How to install →
- Gemma 4 27B 7.4 GB Q2 How to install →
- Qwen3.5 35B-A3B 9.6 GB Q2 How to install →
- Gemma 2 27B 8 GB Q2 How to install →
- Gemma 3 27B 8.1 GB Q2 How to install →
- Gemma 4 31B 8.5 GB Q2 How to install →
- Mistral Small 3 7.2 GB Q2 How to install →
- Qwen3 32B 8.8 GB Q2 How to install →
- Qwen3-Coder 30B-A3B 8.3 GB Q2 How to install →
- Qwen3 30B-A3B 8.3 GB Q2 How to install →
- Devstral Small 2 24B 6.6 GB Q2 How to install →
- Qwen3.5 27B 7.4 GB Q2 How to install →
- Magistral Small 24B 6.6 GB Q2 How to install →
- CodeLlama 34B 10 GB Q2 How to install →
- Yi 1.5 34B 10 GB Q2 How to install →
- Mistral Small 3.2 6.6 GB Q2 How to install →
- Mistral Small 3.1 6.6 GB Q2 How to install →
- Phi-3.5 MoE 11 GB Q2 How to install →
RTX 5070 · Amazon
GPU-Preise schwanken haeufig zwischen Haendlern. Pruefen Sie vor dem Kauf das aktuelle Angebot.
Aktuelles Angebot prüfenEinige Links sind Amazon-Partnerlinks. Wir koennen ohne Mehrkosten fuer Sie eine Provision erhalten. Amazon-Cookies koennen nach Ihrem Klick bis zu 24 Stunden bestehen.
RTX 5070 for Local AI
La RTX 5070 con 12GB de GDDR7 es perfecta para empezar con IA local. Cubre todos los modelos 7B populares en Q4 (Llama 3.1 8B, Mistral 7B, Qwen2.5 7B, DeepSeek R1 Distill 8B) con velocidades decentes. Para casos de uso ligeros como chat, coding assistance y transcripción de audio, esta GPU tiene todo lo necesario.
En benchmarks reales, la RTX 5070 genera 58 tokens/segundo con Llama 7B Q4 — suficiente para conversación en tiempo real. Whisper para transcripción de voz funciona perfectamente. Para generación de imágenes, Stable Diffusion 3 Medium y SD 3.5 Medium son compatibles.
Si buscas tu primera GPU para IA local con un presupuesto ajustado, la RTX 5070 es un punto de entrada sólido. Consulta nuestra guía para empezar con IA local y usa la calculadora de VRAM para verificar la compatibilidad con tu modelo favorito.
Plan your full AI build
RTX 5070 · 12 GB VRAM — configure PSU, RAM, storage and check compatible models.
Related articles
Not sure which model to run on your RTX 5070?
The VRAM calculator tells you exactly which quantization you need.
Get the best price for RTX 5070
Open Amazon with our affiliate link and check availability, variants, and current deals.