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.
Complete guide to deploying Suno's Bark text-to-speech on a dedicated GPU server. Covers GPU selection, installation, API setup, generation benchmarks, and optimisation tips.
Complete VRAM breakdown for Mixtral 8x7B — covering FP16, INT8, INT4, and GGUF quantisation with GPU recommendations and context length…
Complete VRAM requirements for all Flux.1 variants — Dev, Schnell, and Pro — at different precisions, resolutions, and with common…
VRAM requirements for LLaVA vision-language models — covering 7B, 13B, and 34B variants at FP16, INT8, and INT4 with GPU…
VRAM breakdown for running ChromaDB-based RAG pipelines with various LLMs. Covers embedding model overhead, LLM VRAM, total pipeline requirements, and…
Complete VRAM breakdown for ComfyUI workflows with Stable Diffusion, SDXL, and Flux.1. Covers base model VRAM, ControlNet overhead, LoRA stacking,…
Complete VRAM breakdown for AI video generation models including Wan AI, AnimateDiff, and SVD. Covers resolution scaling, frame count impact,…
Complete VRAM breakdown for SDXL Turbo covering FP16, FP8, and INT8 precision levels with GPU recommendations, resolution scaling, and deployment…
Complete VRAM breakdown for Suno's Bark text-to-speech model covering FP32, FP16, and INT8 precision with GPU recommendations and comparison to…
Complete VRAM breakdown for Kokoro TTS covering all precision levels with GPU recommendations, latency benchmarks, and comparison to Bark and…
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Explore Vision HostingDeploy Whisper, Coqui, Bark, and other speech models with low-latency inference.
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Explore MultimodalReal-world tokens per second data across every GPU we offer, tested on popular LLMs.
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