Every GPU on packet.ai runs on hosted·ai-powered infrastructure. Not some. All of them. Here’s why that matters for reliability and what it means when something goes wrong.
Every GPU on packet.ai runs on infrastructure powered by hosted·ai — the same orchestration platform, the same vetted partners, the same performance guarantees. Not some of them. All of them.
Key takeaways
There's no shortage of GPU providers. You could find a dozen marketplaces willing to sell you compute from whoever has spare capacity this week. packet.ai took a different approach — and the reason comes down to what happens when something goes wrong.
GPU marketplaces are middlemen. When a node fails, they open a ticket with whoever actually owns the hardware. That hardware owner has their own support process, their own SLAs, their own definitions of what counts as resolved. The marketplace can't fix it because they don't control it.
packet.ai is different because every GPU runs on hosted·ai-powered infrastructure. That means packet.ai understands the hardware end-to-end: the orchestration layer, the physical configuration, the failure modes. When something breaks, there is one team accountable, not a chain of ticket handoffs.
What this means in practice
A node fails during your training run. With a marketplace, you file a ticket with the middleman, who files a ticket with the provider, who diagnoses the physical hardware. With packet.ai, we diagnose it directly. The SLA is backed by infrastructure we actually understand.
packet.ai works with datacenter partners who run hosted·ai's orchestration platform. These aren't providers sourced from a capacity spreadsheet. They're partners whose operations packet.ai has evaluated, whose configurations are known, and whose quality can be guaranteed.
The result is that the same APIs, the same tooling, and the same performance characteristics work regardless of which datacenter region your GPU is in. No surprises when you scale across regions. No inconsistencies between the H200 in one region versus another.
Consistent performance
Same dashboard, same APIs, same tooling. No surprises when scaling across regions or GPU types.
Accountable support
We don't blame a third party. We own the problem and fix it. 99.9% uptime SLA backed by infrastructure we understand end-to-end.
Better pricing through efficiency
hosted·ai's dynamic placement achieves up to 5× better GPU utilisation. That efficiency is why packet.ai can offer H200 SXM from $2.25/hr and B200 SXM from $3.75/hr — browse available clusters.
Last reviewed: 10 June 2026. Browse available GPU clusters on packet.ai →
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