Your boundary.
One system.
Your vendors decide where your computing environment ends. Kinesis reverses that arrangement: you draw the boundary, and everything inside it runs as one system.
What goes inside a Grid
A Grid is your boundary: the machines you own, rent, or already reserved, inside one system. Add them in any order and any mix.
Servers you own
YOURSGPUs and CPUs in your own building or data center. Enroll them and they take work like any other machine in the Grid.
GPUs and CPUs in your own building or data center. Enroll them and they take work like any other machine in the Grid.
YOURSMachines in colocation
YOURSThe cage you lease at a colo. Same footprint, same interface as the room down the hall.
The cage you lease at a colo. Same footprint, same interface as the room down the hall.
YOURSCloud instances you reserved
RESERVEDThe AWS, Azure, and Google Cloud instances you already hold. The machine joins the Grid; the account stays yours.
The AWS, Azure, and Google Cloud instances you already hold. The machine joins the Grid; the account stays yours.
RESERVEDCapacity rented from a specialist
RENTEDMachines from CoreWeave, Lambda, or another provider you already contract with.
Machines from CoreWeave, Lambda, or another provider you already contract with.
RENTEDCompute Kinesis supplies
OURSDedicated machines from us, inside the same Grid, for when what you own is not enough.
Dedicated machines from us, inside the same Grid, for when what you own is not enough.
OURSWhat sits inside matters less than the fact that one interface runs all of it.
Linux machines that can run the Kinesis agent. Support matrix → (planned)
One control plane for every machine you use
Deploy through one interface across your owned, colocated, cloud-reserved, neocloud, and Kinesis-supplied machines. Kinesis places each workload without forcing your team to change how it deploys.
Places the work
Every workload lands on the machine that fits — cost, capability, availability, and your rules weighed at submission, across machines with different owners. The reason is recorded.
(planned)Routes around failure
The Grid assumes supply will fail. When a machine drops, it detects the fault, walls the machine off, and moves the work to healthy capacity without crossing a policy line.
(planned)Records every decision
Ask which machine ran a job last Tuesday and why the system chose it. Retained, queryable, exportable, and yours to hold.
(planned)Any machine can join
Servers you own, a colo cage, instances you reserved with a hyperscaler, capacity rented from a specialist, machines Kinesis supplies. One estate, one interface.
(planned)Yours and ours mix freely
Start on Kinesis machines, bring your own later, or the reverse. Changing the mix is not a migration; your applications don’t notice.
State the goal, not the machine
Cost, reliability, latency, or provider independence. You set the preference; the Grid does the arithmetic, continuously.
(planned)
Control what runs on your grid
Grids run on dedicated hardware, ours or yours, reserved to you or a group you name. Your administrator decides who is allowed to sit next to whom. Sharing inside your Grid is the point. Sharing with an uninvited guest is not.
What your administrators decide
By establishing rules for who shares what, your administrators can increase the capacity of the machines you already operate, and make sure that your workloads run where they are supposed to.
- Caps per person or group — memory, GPU count, cores, storage, monthly GPU-hours
- Which cards may be split, and into how many pieces
- Who goes next when the queue is full
- When an idle session is warned, and when it is reclaimed
- Which machines production runs on, and which training never touches
“How much work can I get from the hardware I already have?”
Each team’s servers, each cloud account, each colo cage is its own island — full in one place, idle in another. A Grid makes them one pool, and the control plane keeps the pool full.
One pool, not many islands
Headroom in one team's servers is available to another team's job.
Work goes where there's room
The control plane places each workload on the machine that fits, wherever in the Grid it is.
Idle becomes available
Sessions that go quiet are warned and reclaimed. Capacity returns to whoever is waiting.
Failed machines stop taking work
A machine that drops out leaves the pool. The work moves to one that is healthy.
The same machines carry more people, more jobs, and more of the week. The saving is the purchase you don’t make.
Getting started is simple
Assess
A read-only look at what your hardware is doing, when, and for whom. It produces the number.
Grid Your Compute
Connect the machines you already own or rent. Pay a Grid fee per covered server.
Expand
Add teams, servers, and providers. Buy Kinesis-supplied compute when you need it, Grid included.
Start with the number.
The capacity assessment is read-only and nothing moves until you say so. It shows you how full your hardware really is — and what a Grid would change.