Welcome to Packet.ai

Packet.ai was built for teams that need serious GPU compute - without the usual friction.

If you're here, you're likely training, fine-tuning, or running inference on models that don't fit neatly into hyperscaler pricing or long-term commitments. You want performance, predictability, and cost control - not procurement theatre or infrastructure lock-in.

Packet.ai gives you access to high-end GPU capacity from multiple service providers through a single platform. One interface. Transparent pricing. No need to negotiate with ten vendors or commit to hardware you'll only partially use.

What's different is how the infrastructure underneath works.

Packet.ai runs on hosted·ai, a GPU orchestration layer designed to safely share and schedule workloads across GPUs based on actual VRAM and compute usage. That means you're not paying for an entire GPU when your workload doesn't need one - and you're not sacrificing performance to get there.

For enterprises, this translates into three very practical benefits.

You get access to modern GPUs that are often hard to source.

You pay closer to what you actually consume, rather than worst-case capacity.

You can scale up or down quickly, without re-architecting your workloads or signing long-term contracts.

Intentionally straightforward

Packet.ai is also intentionally straightforward. No "spot vs reserved vs on-demand" maze. No opaque discounts. Just clear capacity, clear pricing, and clear expectations.

We built Packet.ai because too many teams are forced to choose between overpriced simplicity and cheap complexity. There's a middle ground - and it should be the default.

This is the starting point. We'll keep expanding GPU types, regions, and capabilities, and we'll be open about what works and what doesn't.

If you need compute that behaves like infrastructure, not a negotiation, you're in the right place.

Welcome to Packet.ai.