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Guides for GPU Cloud Users
Provider comparisons, deployment recipes, and honest cost breakdowns for independent AI developers.
AllAI APIAPIAlipayApple PayClaudeClaude CodeClineComfyUIContinueContinue.devCursorDeepSeekFLUXFine-tuningGLMGPU CloudGPU RentalGPU sizingGatewayGoogle PayImage generationKimiLLM inferenceLLaMA-FactoryLoRAOllamaOpenAI-compatiblePaymentPaymentsPer-minute billingPricingQLoRAQuantisationRTX 4090RTX 4090 48GRTX 5090TutorialUSDTVRAMvLLM
VRAMLLM inferenceOllama
How Much VRAM to Run Each Open Model? (2026 Table, 24 to 96 GB Cards)
A working table of VRAM needed to run Llama, Qwen, Gemma, Mistral, DeepSeek distills, gpt-oss and FLUX at FP16 and Q4, with KV-cache headroom, mapped to the GPU you should rent: RTX 3090, 4090, 5090, A6000, A100 or RTX PRO 6000.
September 8, 2026CloudGPU
OllamaTutorialRTX 4090
Run Ollama on a Cloud GPU with a Public HTTPS API in Two Minutes
Step by step: rent an RTX 4090 or 5090 by the minute, get Ollama running with a public OpenAI-compatible endpoint on cloudgpu.app, and call it from curl, Python or Cursor. Explains what happens under the hood.
September 6, 2026CloudGPU