Stevie® Award Winner · CIOReview “Most Innovative Cloud Provider”

The grid for compute

Compute today is fragmented — trapped inside separate clouds, datacenters, on-prem racks, and reserved-instance pools, each with its own tools, quotas, and economics. The Kinesis Grid makes all of it behave as a single, orchestrated system: a simple, cost-efficient way to use compute at any scale — more output per processor, less non-differentiated work for builders and IT.

Build & Run, Faster

Deploy on the hardware no one else has

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 now

Your Compute, Gridded

Double the capacity you already paid for

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 capacity

Spare CAPACITY, MONETIZED

Turn idle compute into revenue

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 provider

GPU and CPU compute · deploy in minutes

Build and run on compute the way no one else can

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.

Need quantity? Talk to us

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.

Flexible by default

Commit to the work, not the contract.

Most compute makes you bet big before you've shipped a thing — forecasting a year of usage, reserving capacity you may never touch, locking into terms you can't escape. Kinesis flips it: spin up what today's work needs, scale back the moment it's done, and pay only for what actually ran.

No massive upfront commitments

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.

Scale on demand, in both directions

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.

Experiment without the penalty

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.

Investment capped at what you used

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.

BUILT FOR DEMANDING WORKLOADS

AI/ML Training

AI/ML Inference

HPC & Simulation

Analytics & Query

Media Processing

Web & App Infrastructure

Case studies

Proven on real workloads

“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

Protein folding simulation visualization

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.