Model Guides
Step-by-step setup guides for specific AI models on dedicated GPU servers. From LLM deployment to vision model hosting and speech model hosting, each guide includes configuration, optimisation tips, and GPU recommendations.
Bark TTS VRAM Requirements
Suno Bark memory footprint across all variants.
Coqui TTS VRAM Requirements
Memory requirements for Coqui TTS models including XTTS-v2 voice cloning.
Kokoro TTS VRAM Requirements
Kokoro's 82M parameter architecture runs on almost any GPU.
Mixtral VRAM Requirements (8x7B, 8x22B)
VRAM requirements for Mixtral's MoE models at every precision — and which GigaGPU servers can actually run them.
PaddleOCR VRAM Requirements
VRAM needs for PaddleOCR's pipeline components.
Phi-3 VRAM Requirements (Mini, Small, Medium, 3.5)
Complete VRAM breakdown for every Phi-3 variant at FP16, INT8, and INT4 — with GPU recommendations for each model size.
SDXL VRAM Requirements (Base, Refiner, Turbo)
Exact VRAM needs for Stable Diffusion XL variants at different resolutions and batch sizes.
LLaMA 3.1 vs LLaMA 3: What Changed for GPU Hosting
Detailed comparison of LLaMA 3.1 and LLaMA 3 covering architecture changes, benchmark improvements, VRAM requirements, and what the upgrade means…
YOLOv8 vs YOLOv9 vs YOLOv10: Detection Model Comparison
Three-way comparison of YOLOv8, YOLOv9, and YOLOv10 covering architecture innovations, accuracy-speed trade-offs, VRAM usage, and deployment guidance for dedicated GPU…
LLaMA 3 8B vs 70B: When Do You Need the Bigger Model?
Practical decision guide for choosing between LLaMA 3 8B and 70B covering quality thresholds, cost differences, hardware requirements, and specific…
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Deploy Whisper, Coqui, Bark, and other speech models with low-latency inference.
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Vision-language models, audio-language models — deploy multimodal AI on dedicated GPUs.
Explore MultimodalTokens/sec Benchmarks
Real-world tokens per second data across every GPU we offer, tested on popular LLMs.
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