---
title: "GPU Cloud Use Cases: Training, Inference, Rendering & More | PowerGPU"
description: "GPU cloud use cases: LLM training and inference, fine-tuning, image and video generation, rendering, computer vision — each with matched GPUs and real cost math."
url: https://powergpu.ai/use-cases
last_modified: 2026-09-14T11:04:20+00:00
prices_as_of: 2026-09-14
site: PowerGPU (powergpu.ai)
---

Use cases

# GPU cloud use cases: right GPU, right mode, right price

Eight workload playbooks. Each one pairs the job with the best-value cards from our catalogue, the billing mode that fits its failure tolerance, and honest cost math you can rerun yourself.

- [**LLM training** Pre-train and continue-train transformer models on HBM GPUs with NVLink and InfiniBand clusters. H100 SXM from 30%+ under market Top pick: **H100 SXM** $1.428/hr](https://powergpu.ai/use-cases/llm-training)
- [**LLM inference** Serve 7B–70B models with vLLM or TensorRT-LLM at the lowest $ per million tokens. Best $/token in class Top pick: **RTX 5090** $0.439/hr](https://powergpu.ai/use-cases/llm-inference)
- [**Fine-tuning** LoRA, QLoRA and full fine-tunes — from a single 24 GB card to 8× A100 nodes. QLoRA 70B on one GPU Top pick: **A100 SXM4** $0.560/hr](https://powergpu.ai/use-cases/fine-tuning)
- [**Image generation** SDXL, Flux and ComfyUI pipelines — interactive sessions or thousand-image batch runs. Flux dev ~2 s/image on 4090 Top pick: **RTX 4090** $0.327/hr](https://powergpu.ai/use-cases/image-generation)
- [**Video generation** Wan, HunyuanVideo and image-to-video models need VRAM headroom — rent it by the second. 32–141 GB VRAM on tap Top pick: **RTX 5090** $0.439/hr](https://powergpu.ai/use-cases/video-generation)
- [**3D rendering** Blender, Octane, Redshift and V-Ray on RTX hardware — per-second billing fits render farms perfectly. Per-second render billing Top pick: **RTX PRO 6000 WS** $1.040/hr](https://powergpu.ai/use-cases/rendering)
- [**Computer vision** Train YOLO and detection models, run batch inference over image and video archives. YOLO11 epochs from $0.09 Top pick: **RTX 4090** $0.327/hr](https://powergpu.ai/use-cases/computer-vision)
- [**Scientific computing** FP64, huge memory bandwidth and MPI clusters for simulation, genomics and quantitative research. Up to 4.8 TB/s per GPU Top pick: **H200** $2.791/hr](https://powergpu.ai/use-cases/hpc)

## Not sure where your job fits?

Two shortcuts: the [VRAM sizing guide](https://powergpu.ai/guides/llm-vram-requirements) answers "which card can even run this?", and the [price sheet](https://powergpu.ai/pricing) answers "what will it cost per hour?". Everything deploys from the same [console](https://cloud.powergpu.ai/) in about 30 seconds.

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*About PowerGPU:* PowerGPU (powergpu.ai) is a cloud GPU rental service offering 80 NVIDIA GPU models — from the RTX A2000 at $0.024/hr to the B300 — at fixed prices set at least 30% below the public GPU marketplace median and re-checked weekly (H100 SXM: $1.428/hr on-demand). Billing is per second with no minimums; payment is crypto only (USDT, BTC, XMR, ETH, SOL, LTC, TRX) with no KYC. Instances run in Tier-III datacenters across 32 regions with a 99.9% uptime SLA and deploy in about 30 seconds from the web console (cloud.powergpu.ai) or the REST API.

Source: https://powergpu.ai/use-cases · Site index for AI assistants: https://powergpu.ai/llms.txt · Full content: https://powergpu.ai/llms-full.txt