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RTX 5070 for SDXL ControlNet and LoRA: Managing 12 GB for Complex Pipelines
SDXL + ControlNet on 12 GB requires careful VRAM management. Here's exactly what fits, what doesn't, and the techniques to get the most from the RTX 5070.
Latest Articles
Fresh benchmarks, comparisons, and deployment guides from the GigaGPU team.
RTX 5070 vs RX 9070 XT: CUDA vs ROCm at £139 vs £149/mo
RTX 5070 brings 12 GB GDDR7 and full CUDA. RX 9070 XT has 16 GB GDDR6 and ROCm at £149/mo.…
RTX 5070 for Embedding Generation: Throughput and Setup Guide
The RTX 5070 generates embeddings at thousands of sentences per second with sentence-transformers. VRAM is barely used — the full…
RTX 5070 for Coding AI: Local Copilot with Qwen 2.5 Coder on 12 GB GDDR7
Replace GitHub Copilot with a local coding AI on the RTX 5070. Qwen 2.5 Coder 14B or DeepSeek Coder V2…
RTX 5070 for Self-Hosted AI API: OpenAI-Compatible Endpoint at £139/mo
Build a production OpenAI-compatible AI API on the RTX 5070. llama.cpp server, vLLM, or Ollama — serving Llama 3.1 8B…
RTX 5070 for Computer Vision: YOLOv11 and Real-Time Inference on 12 GB GDDR7
The RTX 5070 runs YOLOv8/v11 at hundreds of FPS, classification models, and multi-camera pipelines on 12 GB GDDR7. Computer vision…
RTX 5070 for LoRA Fine-Tuning: QLoRA on 12 GB GDDR7
Fine-tune 7B and 13B LLMs with QLoRA on the RTX 5070's 12 GB GDDR7. Full setup with Unsloth, bitsandbytes INT4…
RTX 5070 for RAG Pipelines: Embeddings + LLM on 12 GB GDDR7
Build a complete RAG pipeline on the RTX 5070 — embedding model + vector search + LLM — all on…
RTX 5070 for Whisper and Speech AI: Voice Pipelines on 12 GB GDDR7
Whisper Large-v3 uses ~3 GB — the RTX 5070's remaining 9 GB fits a full LLM alongside it. Build complete…
Best LLMs for 12 GB VRAM: RTX 5070 Model Guide 2026
Running LLMs on 12 GB VRAM in 2026. Which models fit at Q4, Q8, and FP8? Llama 3.1, Mistral, Gemma…
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