# GPU solutions by workload and team

> Which GPU fits each workload, how much memory it needs and how to start.

Source: https://overgpu.com/solutions  
Publisher: OverGPU (https://overgpu.com/)

## Pages

- [A dedicated GPU for image and video generation](https://overgpu.com/solutions/generative-media): Choosing a GPU for image and video generation: approximate VRAM for Stable Diffusion, Flux and video models, on dedicated GPUs. Compare the cards.
- [Dedicated GPU servers for enterprise, with a written SLA](https://overgpu.com/solutions/enterprise): Dedicated GPU servers for enterprise: whole GPUs, bare-metal 8-GPU nodes, a 99.9% SLA with credits, VAT invoices and term pricing. Plan a pilot.
- [GPU cloud for AI startups, with predictable monthly spend](https://overgpu.com/solutions/startups): A GPU cloud for AI startups: dedicated H100, H200 and Blackwell GPUs at a flat monthly price, paid in crypto, cancel any month. See how to size and budget.
- [GPU rendering servers for Blender, Redshift and Octane](https://overgpu.com/solutions/rendering-vfx): GPU rendering servers with 96 GB RTX PRO 6000 Blackwell GPUs, up to 768 GB of VRAM per server, booked monthly for crunch periods. See sizing and setup.
- [GPU servers for LLM inference, running 24/7 at a flat price](https://overgpu.com/solutions/inference): GPU servers for LLM inference with vLLM, SGLang or TensorRT-LLM: KV cache sizing, FP8 and FP4, and 20–50 TB of bandwidth included. See the sizing math.
- [GPU servers for LLM training on dedicated 8-GPU nodes](https://overgpu.com/solutions/llm-training): GPU servers for LLM training: bare-metal HGX B300, B200 and H200 nodes with NVLink and 400–800G networking, rented monthly. See the memory math first.
- [GPU servers for Web3: ZK proving, AI agents and inference](https://overgpu.com/solutions/web3): GPU servers for Web3: ZK proving, AI agents and inference on dedicated GPUs, paid in BTC, ETH, XMR, USDT (TRC-20) or SOL. See what is allowed.
- [GPU servers for research and HPC, on fixed monthly budgets](https://overgpu.com/solutions/research-hpc): GPU servers for research and HPC: H100, H200 and MI355X with vendor FP64 figures, CUDA or ROCm, on fixed monthly budgets. Match the GPU to your code.
- [GPU servers for universities and research labs, on fixed budgets](https://overgpu.com/solutions/universities): GPU servers for universities and research labs: fixed monthly prices for grants and semesters, invoices for procurement and term pricing. Plan a semester.
- [The right GPU for LLM fine-tuning, from QLoRA to full fine-tunes](https://overgpu.com/solutions/fine-tuning): Find the GPU for LLM fine-tuning: memory math for QLoRA, LoRA and full fine-tunes of 8B to 70B models on H100, H200 and B200. Check what fits first.