Intent-driven infrastructure automation
Set your intent. Kinesis runs everything else.
Tell the platform what matters using simple controls. Every placement and operating decision follows from that, with no infrastructure for you to wire.
Cost
Kinesis runs your workload on the cheapest compute on the grid that meets its needs, and moves it when something cheaper appears.
Reliability
Kinesis favors stable, proven supply and recovers your workload onto healthy compute when a node drops.
Latency
Kinesis places your workload close to where it’s served and keeps it there as traffic shifts.
Multi-cloud
Kinesis spreads your workload across providers on purpose, so no single cloud is a dependency.
Bring your code from anywhere — your editor, your model, your repo. We take it from there.
Build any way, run on Kinesis
Your code. Your intent.
A running URL.
However you build your app — in your editor, from your repo, with your own model, or a prompt — Kinesis runs it. Tell the platform what to optimize for and it handles the infrastructure underneath. No framework to adopt, no YAML to memorize, and a standard container you can always take elsewhere.
1 Bring your code
Push from your repo, your editor, or your CI — or generate it however you like. Standard containers, nothing new to adopt.
2 Set your intent
Tell Kinesis what matters: cost, reliability, latency, or multi-cloud. Plain language or a couple of controls.
3 Kinesis runs it
Placement, scaling, recovery, and monitoring are handled. You get a live URL.
- •Bring your code from anywhere — your repo, your editor, your own model, or a prompt. Kinesis takes it from there.
- •Tell Kinesis what to optimize for — cost, reliability, latency, or multi-cloud — and every placement decision follows from your intent.
- •Standard containers, zero lock-in — every deployment is a normal container you can take anywhere.
- •Networking, auto-scaling, recovery, health monitoring, and rollbacks handled by default, on CPUs and GPUs sized to the workload — production-grade out of the box.
- •True-Util™ pricing meters the cycles you actually consume, capped at the reserved rate. Bursty workloads pay less; steady workloads never pay more.
Compute no competitor can match
Kinesis places your workload on the right CPUs or GPUs across a network of vetted providers, bills you for the compute you actually use, and abstracts away the VPCs, IAM hierarchies, and plumbing that usually stand between you and production. Commit your code and get a live URL.
Write once, run anywhere
Run a standard container across clouds, on-premises, and partner capacity. Nothing to rebuild, no provider to get stuck on.
Operations come standard
Monitoring, scaling, recovery, certificates, and secrets are built in, so there’s no ops layer left to assemble.
Pay only for real usage
You’re billed for what you actually consume, so idle capacity never reaches the invoice.
The Kinesis Difference
What's actually different about building here
LESS OPS SURFACE
No VPC sprawl, no IAM trees, no security-group geometry. The platform handles networking, scaling, health checks, and rollbacks by default.
Fewer actions than a hyperscaler
TRUE-UTIL™ PRICING
Pay for cycles consumed, capped at Reserved
Bursty workloads save the most. Steady workloads pay the same as reserved would. Your bill tracks actual usage, not wall-clock time.
usage → billed
HARDWARE THAT FITS
CPU, GPU, big-iron, on-demand
A100, H100, H200, B200. Multi-card for training, single card for inference.
PORTABLE BY CONSTRUCTION
Standard containers
Normal Dockerfile, normal image. If Kinesis stops being the right answer, your app moves.
OBSERVABILITY BUILT IN
Logs, metrics, cost — one pane
Real-time logs, per-app utilization, per-workload spend. No glue code, no dashboards to set up.
FOR THE ARCHITECTS
How placement actually works
Kinesis continuously makes placement, scaling, pricing, and failure-handling decisions across a heterogeneous compute graph. Worth understanding if you care about the substrate.
Under the hood →Workload Deployment
Start wherever you are
Six paths in. Same runtime, same orchestration, same True-Util™ pricing on the other side.
Connect a repo. Push to ship.
Point Kinesis at your GitHub project. Every push builds, deploys, and rolls forward automatically, with the rest of the CI/CD loop handled.
Best for: teams · production workflows · continuous delivery
Bring an image from your registry.
Private or public — point us at the registry, pick a pricing model, run.
Best for: existing apps · proprietary environments · full control
Upload a Dockerfile or ZIP. We build.
Hand us the source; we build the image and run it. The clean container-native path.
Best for: reproducible builds · portability · open-source projects
Push an image file directly.
Already built locally? Upload the image and go live without setting up a registry.
Best for: quick proofs · offline builds · restricted networks
Start from a template.
Curated stacks — LLMs, vector DBs, web frameworks, batch runners. Configure and ship.
Best for: standard apps · low ops overhead · “show me the menu”
Try it on a real app
$100 in free credit. No credit card required. Deploy your first container in under five minutes. Bring a GitHub repo, a Dockerfile, or select an template.