preview 1.2

the ai-native compute platform

run serverless or dedicated. deploy ai agents, inference endpoints, and data pipelines on infrastructure that adapts to your workload.

agent.ts
import { agent, gpu } from "@zectre/ai"
 
const app = agent({
model: "llama-3.3-70b",
compute: gpu("h100"),
scaling: "auto" // serverless or dedicated
})
 
await app.deploy() // live in 4.1s

capabilities

ai-first, full-stack

everything you need to build, deploy, and operate ai applications at production scale.

01

ai inference

deploy models to gpu-backed endpoints. auto-scaling from zero to thousands of concurrent requests. built-in support for vllm, tgi, and custom runtimes.

02

adaptive compute

run serverless for bursty workloads or reserve dedicated instances for sustained throughput. switch modes per-service, not per-account.

03

microservices

deploy independent services with isolated runtimes. automatic discovery, load balancing, and zero-downtime rollouts baked in.

04

data layer

managed postgres, redis, and object storage. serverless or provisioned. branching for dev, replicas for prod.

05

agent orchestration

chain models, tools, and data sources into autonomous agents. built-in memory, tool calling, and human-in-the-loop controls.

06

observability

traces, metrics, and logs across every service and model call. cost attribution per-request. no third-party sdk required.

0%
uptime sla
<0ms
model cold start
0+
gpu regions
0B+
inferences/day

get started

deploy your first ai workload today

free tier includes gpu access. no credit card. go from model to production endpoint in minutes.

$npx create-zectre-app

free: 50 gpu-hours, 500K invocations, 5GB storage/mo