Kinesis

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, Fast & 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 datacetner capacity

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

Live GPU availability · deploy in minutes

The GPUs no one else has

Kinesis gives you scarce accelerators — B200, B300, H100 — at quantity, price, and terms you won’t find elsewhere, with a developer experience that skips the VPCs, IAM trees, and glue work. Push code, get a running URL.

NVIDIA B300
1s ago
$5.35/hr

cap $6.50

26available
Flexible terms
Deploy
NVIDIA B200
1s ago
$4.00/hr

cap $4.90

53available
Flexible terms
Deploy
NVIDIA H100
1s ago
$1.48/hr

cap $1.90

130available
Flexible terms
Deploy
NVIDIA B300: $5.35 per hour, 26 available. NVIDIA B200: $4.00 per hour, 53 available. NVIDIA H100: $1.48 per hour, 130 available.
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.

Downside capped at what you used

No stranded reservations, no capacity you over-bought, no architecture you can’t 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 dashboard

AI INFERENCE PLATFORM

$120K → $45K / mo

24 production apps with highly variable demand. Lower monthly spend while improving availability and scaling responsiveness.

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 just describe what you want