v1.0 — now in public beta

Run any job on
any machine.

Tanvrit Compute is a distributed job fabric for CI pipelines, AI/ML inference, and batch workloads. One SDK, one portal — Android, iOS, desktop, and web. Bring your own nodes or spin up GPU on demand.

Open portal →Read the docs

tanvrit-compute

$ compute job submit \
  --type DOCKER \
  --image ghcr.io/myorg/runner:latest \
  --command "pytest tests/ -x" \
  --label gpu=A100 --timeout 600

● Submitted  job_01jt4k8n2q · queued → assigned → running
● Streaming logs from node gpu-a100-fra-01
  PASSED tests/test_model.py::test_inference
✓ SUCCESS  47.3s · 0.24 credits

10K+

jobs / day

5ms

median dispatch

platforms

to start

Everything a compute platform needs

Built for teams who need real job orchestration — not cron wrapped in bash.

⚡

Unified job model

COMMAND, DOCKER, GITHUB_ACTION, AI_TOOL — all under one submit API. The scheduler picks the best available node automatically.

🔗

DAG dependencies

Chain jobs into one-level DAGs. Downstream jobs block until their dependencies succeed. Failed upstreams auto-cancel dependents.

🖥️

GPU marketplace

Bid on spare GPU capacity from community hosts — Vast.ai style. A100, H100, L40S. Per-second billing, cancel any time.

🌐

Multi-region HA

Raft-based control plane with automatic leader election. Deploy standby replicas in EU, US, and AP — jobs survive region failures.

⏰

Cron schedules

Recurring jobs with jitter, backoff, and pause/resume. Run-now override from the portal, CLI, or SDK without touching the schedule.

📦

Template gallery

Fork-and-run: Android builds, iOS XCTest, Llama inference, Blender renders, ffmpeg, pytest, k6 load tests. One click to customise.

🔄

Agent auto-update

Nodes self-update to new agent versions without manual SSH. Version pinning, staged rollout, and rollback on health check failure.

🔑

API keys & audit

Per-project API keys with label-based scoping. Every submit, cancel, and retry is logged and surfaced in the portal audit trail.

🔌

Tanvrit-native

First-class integration with Tanvrit AI inference and Tanvrit Market campaign pipelines. Shared credits, shared identity.

Up and running in minutes

No Kubernetes. No Terraform. No YAML sprawl.

Register your nodes

Install the Tanvrit Compute agent on any machine — your laptop, a bare-metal server, or a cloud VM. It registers automatically and starts accepting jobs.

brew install tanvrit/tap/compute-agent
compute-agent start --api-key $KEY

Submit a job

Use the SDK, CLI, or portal to submit a job. Add labels to target specific node pools, set priorities, or attach it as a downstream step in a DAG.

compute job submit \
  --type COMMAND \
  --command "cargo build --release" \
  --label os=linux,arch=arm64

Stream results

Logs stream in real-time via SSE. The job status, stdout, and exit code appear in the portal, CLI, and SDK — with webhook notifications on completion.

compute job logs job_01jt4k8n2q --follow

SDK

One SDK across all your platforms

The Tanvrit Compute SDK is a Kotlin Multiplatform library — the same code runs on Android, iOS, JVM, and WASM. Import it once and ship jobs from wherever your app lives.

✓ Android, iOS, Desktop, Web — one artifact
✓ Coroutines-native: suspend functions, Flow
✓ Koin DI out of the box
✓ ViewModels with lifecycle awareness

MainActivity.kt

val vm: ComputeJobViewModel = koinInject()
val jobs by vm.allJobs.collectAsState()

// Submit a job
vm.submitJob(
  SubmitComputeJobRequest(
    type = "DOCKER",
    image = "ghcr.io/org/runner",
    command = "pytest tests/",
    gpu = GpuRequest(count = 1),
  )
) { result ->
  snackbar.show("Submitted: ${result.jobId}")
}

// Stream real-time logs
vm.streamLogs(jobId) { line ->
  logBuffer.append(line)
}