No DevOps degree required. From local code to globally
deployed GPU endpoint in under a minute.
Idle functions cost exactly $0. Workers shut down automatically between requests — no wasted GPU-hours.
Set per-worker concurrency limits. Route burst overflow to a queue and process at your own pace.
We pre-warm replicas based on your traffic patterns, cutting cold start probability by up to 80%.
Idle functions cost exactly $0. Workers shut down automatically between requests — no wasted GPU-hours.
Set per-worker concurrency limits. Route burst overflow to a queue and process at your own pace.
We pre-warm replicas based on your traffic patterns, cutting cold start probability by up to 80%.
From single A100s to multi-node H100 clusters — spin up bare-metal
GPU capacity in under a minute with no scheduling queues.
vs. self-managed Kubernetes GPU pods
From single A100s to multi-node H100 clusters — spin up bare-metal
GPU capacity in under a minute with no scheduling queues.
One-click GitHub / GitLab integration. We listen to push events on any branch you configure.
We detect Python, pin CUDA, cache your requirements.txt, and produce a reproducible image in seconds.
New builds get 10% of traffic first. If health checks pass, traffic shifts 100% with no downtime.
Every deploy is versioned. Roll back to any previous build in one click or one CLI command.
2.3 - CUDA 12.4
Transformers 4.x
0.5 - PagedAttn
10.x - FP8
SDXL - Flux
GGUF - GGML
0.4 - XLA
MusicGen - MACs
Protein - Mol
Any CUDA image
