From a single fine-tuning run to a 1,024-GPU training fabric, packet.ai matches every workload to the right NVIDIA silicon — shared, dedicated, or clustered. Launch in under five minutes, pay by the hour, scale anytime.
Low-latency, OpenAI-compatible inference on the latest NVIDIA silicon — scale from a single GPU to thousands without re-architecting.
Bursty fine-tunes on shared GPUs, or thousands of interconnected cards for multi-week training runs — same platform, same tooling.
Interactive notebooks, always-on agent loops, and GPU-native dev environments — launched in under five minutes.
Render farms, real-time streaming, and scientific simulation on workstation-class and data-center GPUs.
Every workload maps to one of three products. Here's how teams choose.
Best when work is bursty and you want to pay only for the cycles you use.
Explore DynamicBest when you need predictable p99 latency, a 99.99% SLA, or compliance isolation.
Explore DedicatedBest for multi-week runs across hundreds of interconnected GPUs on InfiniBand.
Explore ClustersShip your first inference workload before an AWS quote comes back. Hourly billing, no minimums, and a clear path from dev to production.
Single-tenant GPUs, a signed DPA, and EU data residency for medical imaging, genomics, and protein-folding workloads.
Isolated, audit-ready infrastructure for risk modeling, fraud detection, and document intelligence under compliance constraints.
Render farms and generative-media pipelines on RTX-class GPUs — scale up for a deadline, scale down the next day.
Train perception and planning models, then run batch simulation across many GPUs with topology-aware scheduling.
Reserve frontier silicon for a known program or season at wholesale rates, with a named technical account manager.
For anything not here, reach help@packet.ai.
Explore more: Dynamic GPU, Dedicated GPU, GPU Clusters, Token Factory, and Pixel Factory.
Pick the workload, pick the product, and launch in under five minutes.