AI inference: vision, audio & embeddings
Match input shape, batch, preprocessing and p95 latency, then compare cost per accepted prediction.
Good fit · RTX 4090 · L4 · L40S
Explore the architectureWorkload solutions
The right compute pattern for every AI job.
Pick infrastructure by workload behavior, not vendor vocabulary. GPURento keeps the path between experiments, scheduled jobs and production traffic intentionally short.
AI training: vision & multimodal
Size inputs, activations, data-loader throughput and checkpoints before comparing cost per accepted run.
Good fit · A100 · H100 · B200
Explore the architectureAI agents
Combine fast model calls, persistent stateful workers and isolated tool environments under one cost and policy layer.
Good fit · L4 · L40S · H100
Explore the architectureImage & video
Plan ComfyUI, diffusion and video pipelines by peak VRAM, persistent model storage and cost per accepted output.
Good fit · RTX 5090 · L40S · H100
Explore the architectureResearch & HPC
Launch repeatable environments for simulation, batch processing and distributed experiments, then export every metric.
Good fit · A100 · H200 · B200
Explore the architectureCloud migration
Import OCI images, recreate volumes, validate benchmark parity and shift traffic in stages from another GPU provider.
Good fit · Any compatible NVIDIA GPU
Explore the architectureLanguage-model specialists
Decision guide
Instance, endpoint or cluster?
01
GPU instance
You need shell access, a notebook, a long-running job or complete environment control.
02
Serverless endpoint
Traffic is request-driven, variable or bursty and you want workers to scale automatically.
03
GPU cluster
One node is no longer enough and communication between workers determines time to result.
Not sure where to start?
Bring the model, traffic shape and latency target.
Workload fitVRAM filterCost model