GPU cloud, by industry
Six kinds of team run the same hardware for very different reasons. Find the one that sounds like yours — what it costs, what is already installed, and how the work starts.
Six kinds of team, one platform
How AI startups, product teams, VFX studios, robotics labs, researchers and creative studios run on Meshive — per-hour GPUs, no reserved capacity.
Pods + ServerlessAI startups & labs
Train, evaluate and ship without committing to a year of reserved capacity up front.
L40S · 48GBProduct teams shipping LLM features
vLLM or SGLang behind an OpenAI-compatible endpoint, or skip the pod and go Serverless. Match the card to the model, not the other way round.
RTX 5090 · PRO 5000Media, VFX & 3D studios
Render queues and generative pipelines that spike hard for a week and then go quiet.
RTX PRO 6000 · 96GBRobotics & simulation
Long headless runs with storage that persists between them, so a restart is not a reset.
RTX 3090 → A100Students, researchers & solo builders
Per-hour GPUs for coursework, benchmarks, papers and side projects. No procurement cycle, no sales call, one card on file.
RTX 5090 · PRO 5000Creative studios & AI artists
ComfyUI with FLUX.1, Qwen-Image, Wan 2.2 and MiniMax H3 already attached. A render farm for client work this month, switched off the next.
Browse by workload instead
The same platform, described by what you are running.
GPU cloud solutions, by workload
Pick a card and start the pod
Sign up, choose the GPU, and the pod is yours in under two minutes. It bills by the hour and stops when you stop it.
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