COMPUTE, CONNECTED.
Bring your code. We’ll find its place.
One intelligent grid for your apps, your clouds, and the hardware you already own.
Stevie® Award winner / CIOReview
“Most Innovative Cloud Provider”
Start with what you have.
A GitHub repository, a Docker image, or your local files.Illustrative deployment · ComfyUI on the Kinesis grid
Build & Run, Faster
Push a GitHub repo or a container. The Grid inspects your workload, finds the right hardware across every connected provider — including hard-to-find GPUs — and runs it. Code to live in minutes.
Start building nowYour Compute, Gridded
Unify cloud reservations, on-premises servers, and partner capacity into one orchestrated system. Smart placement effectively doubles what your fleet can run. Only pay for the unlocked capacity you use.
Unlock datacenter capacitySpare CAPACITY, MONETIZED
Connect your underused capacity and the Grid handles the rest — discovery, reservations, billing, SLA enforcement. Vetted operators earn on every booked hour, hands off. Revenue without the operational burden.
Become a grid providerGPU and CPU compute · deploy in minutes
Kinesis runs your workload on the right GPU or CPU across a grid of vetted providers, with pricing that tracks real utilization and a developer experience that skips the VPCs, IAM trees, and glue work. Push code, get a running URL.
One container, anywhere
One portable Dockerfile runs across clouds, on-prem, and partner datacenters - the same artifact everywhere, with no rewrite and no lock-in.
Production-ready by default
Built-in logs, autoscaling, failover, SSL, and secrets ship with every deployment - production operations running from day one with no DevOps to wire up.
Usage-based, with a cap
On Serverless, you pay for the compute you actually use, capped at the equivalent dedicated rate. Bursty workloads pay less; steady ones never pay more.
Start with what today’s project needs, not a year-long reservation sized for a roadmap that hasn’t happened yet. Credit card in, deploy, grow capacity only when the work demands it.
Spin up more when traffic spikes or a training run lands. Scale back the moment it’s done. Never pay for headroom you’re not using; never throttled when you suddenly need it.
Try a bigger GPU, a new model, a different region — cheaply, without a procurement cycle. When experiments are this low-stakes, you run more of them, and you find what works faster.
On Serverless, there’s no stranded reservation and no capacity you over-bought, and every deployment is a standard container you can walk away from. A bet that doesn’t pan out costs you an afternoon, not a quarter.
“Our partnership with Kinesis empowers us to focus on advancing generative AI in human genomics for rare diseases — while removing the infrastructure bottlenecks.”
Stanley Bishop
Head Scientist — Rare Compute
BIOTECH SIMULATION
$4.6M → $1.2M
Large-scale protein folding workloads across thousands of nodes. ~74% lower infrastructure cost through dynamic placement and utilization optimization.
AI INFERENCE PLATFORM
$120K → $45K / mo
24 production apps with highly variable demand. Lower monthly spend while improving availability and scaling responsiveness.
$100 in free credit. No credit card required. Deploy your first container in under five minutes. Bring a GitHub repo, a Dockerfile, or just describe what you want.
