GPU Hosting & AI Engineering Blog
Benchmarks, GPU comparisons, deployment guides, and cost analysis — everything you need to run AI on dedicated GPU servers.
Can RTX 4060 Run Stable Diffusion XL?
Can the RTX 4060 run Stable Diffusion XL? Yes — at 1024x1024 with optimizations. Full benchmarks, VRAM usage, and setup guide for SDXL on 8 GB.
Latest Articles
Fresh benchmarks, comparisons, and deployment guides from the GigaGPU team.
Can RTX 3090 Run LLaMA 3 70B? (VRAM Analysis)
Can the RTX 3090 run LLaMA 3 70B? Only with aggressive 4-bit quantization, and it's tight. Full VRAM analysis, benchmarks,…
YOLOv8 VRAM Requirements (All Model Sizes)
Complete YOLOv8 VRAM requirements for Nano to XLarge across detection, segmentation, and pose tasks. FP32, FP16, INT8 tables plus GPU…
Can RTX 4060 Run LLaMA 3? (Benchmarks + Setup Guide)
Can the RTX 4060 run LLaMA 3? Yes — the 8B model with 4-bit quantization. We cover benchmarks, VRAM usage,…
CodeLlama VRAM Requirements (7B, 13B, 34B)
Complete CodeLlama VRAM requirements for 7B, 13B, and 34B across all variants (Base, Instruct, Python). FP32, FP16, INT8, INT4 tables…
Gemma VRAM Requirements (2B, 7B, 27B)
Complete Google Gemma VRAM requirements for Gemma 2B, 7B, 9B, and 27B. FP32, FP16, INT8, INT4 tables plus GPU recommendations…
Phi VRAM Requirements (Phi-2, Phi-3, Phi-3.5)
Complete Microsoft Phi VRAM requirements for Phi-2, Phi-3, and Phi-3.5 (Mini, Small, Medium, MoE). FP32, FP16, INT8, INT4 tables plus…
Qwen VRAM Requirements (All Model Sizes)
Complete Qwen VRAM requirements for Qwen2, Qwen2.5, and Qwen-VL — from 0.5B to 72B. FP32, FP16, INT8, INT4 tables plus…
Whisper VRAM Requirements (Tiny to Large-v3)
Complete OpenAI Whisper VRAM requirements from Tiny to Large-v3. FP32, FP16, INT8 tables, GPU recommendations, and real-time factor benchmarks.
Stable Diffusion VRAM Requirements (SD 1.5, SDXL, Flux.1)
Complete Stable Diffusion VRAM requirements for SD 1.5, SD 2.1, SDXL, and Flux.1 at all precisions. GPU recommendations, resolution scaling,…
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