Dedicated GPUs for
open-source AI
Zero DevOps
Your per-token bill is scaling faster than your users?
Dedicated capacity is the fix. But GPUs without a team to run them is a hire you didn't budget for. We give you both.




Why Dedicated Infrastructure with Featherless AI
No waitlist. No procurement cycle.
Leading price-per-compute on AMD
Built by the team behind RWKV.
Benchmark first. Then lock the capacity.
Your data and models stay yours.
FAQs
Dedicated GPU pricing is based on the hardware tier you reserve and the duration of your reservation. No per-token billing — you pay a fixed rate for exclusive access to your compute. Pricing varies by GPU model, quantity, and region. Contact us for a custom quote →
Our team handles the full inference stack — quantisation, batching, fine-tuning on your real traffic, and ongoing distillation. On-call support and proactive tuning included. Not a separate engagement.
We benchmark your specific workload before you commit, then guarantee that performance level on reserved capacity. SLA terms are defined per contract. Talk to us →
Your data never leaves your dedicated environment. VPC-level isolation — prompts, completions, and model weights not shared with any other customer.
Available in the US, EU, and Southeast Asia. You choose the region that matches your users and data residency requirements. Multi-region deployments supported. Speak with our team →