Whether you're deploying a Docker container, connecting a GitHub repo, or using our AI Maker to build from a prompt, Kinesis makes high-performance hosting effortless.
Stevie® Award Winner · CIOReview “Most Innovative Cloud Provider”
There isn’t one “right” workflow. Start wherever you are—enterprise registry, a GitHub repo, a Dockerfile, or a plain-English description. Every option ends the same way: a running app with transparent pricing.
Run intensive numerical simulations on CPU-C24 instances (24 vCPUs, 96GB RAM).
NVIDIA H100 Tensor Core GPUs. Single cards for inference or multiple cards per server for training.
Pay for what you use, not what you reserve—ideal for bursty or iterative workloads.
Describe the app you need. Maker generates a production-ready Dockerfile, lets you edit it, and launches it on Kinesis with one click. From idea → running URL in minutes.
$ build an app: fastapi + redis
> exposes :8000
> add /health endpoint
> env var: REDIS_URL
> optimize for cold start
$ generating dockerfile…
✓ Dockerfile created
✓ image built
✓ deployed on kinesis
✓ live: https://app.kinesis.run/your-appOptimized for the most demanding technical applications.
Host large language models on shared NVIDIA H100 nodes. With True-Util™, pay for inference cycles, not idle time.
Scale across multiple nodes for complex training in Fintech or Biotech. Use Reserved Instances for 100% hardware isolation.
We source the most cost-optimized compute as it becomes available and run your containers automatically.
Transcode video or render 3D assets at scale. Pay only for when the heavy lifting happens.
Run Monte Carlo simulations or genomic sequencing on high-frequency CPU-C24 instances.
Bring your own custom Docker images with specialized libraries to dedicated hardware.
Deploy mission-critical backends using Proprietary Images for maximum security.
Use Folder-to-Web for landing pages. The fastest path from local directory to global URL.
Stop building custom scripts. Our platform handles the complex coordination of large-scale compute with zero friction.
Intelligently distribute heavy workloads across our global network automatically.
Automated health checks and recovery. If a node fails, your job doesn't.
Scale up or out in real-time based on actual execution demands.
Running large or complex workloads? Our team works directly with you on architecture, scaling, and cost optimization — from first deploy to production-scale runs.
Choose the hardware that fits your app.
$0 - $0.72 /hr
24 vCPUs, 96GB RAM
Reserved or True-Util™
$0 - $1.49 /hr
NVIDIA H100 Tensor Core in 1x, 2x, 4x and 8x config
28 CPUs, 96GB RAM,
Reserved or True-Util™
$0 - $0.20 /hr
4 vCPUs, 8GB RAM Spot Instances
True-Util™
$0 - $0.10 /hr
Bring Your Own Compute
Network Only
Traditional clouds bill you for "wall-clock time"—you pay for every second a server is on, even if it’s sitting idle. We’ve replaced that with True-Util™ Pricing.
Use Shared Instances. You'll save up to 70% by paying strictly for the CPU/GPU cycles you consume.
Use Dedicated Reserved Instances for guaranteed hardware at a fixed, predictable monthly cost.
If your traffic spikes, dips, or sleeps, you belong here.
The Pain: Renting H100s that sit idle between prompts.
The Kinesis Win: Pay for inference time only. No queries?
Zero cost.
The Pain: Provisioning large servers for unpredictable user growth.
The Kinesis Win: Pay pennies during low traffic. Costs
capped at reserved rate during viral spikes.
The Pain: Staging servers running 24/7, wasting money 16 hours a day.
The Kinesis Win: True-Util™ detects drop in activity and
lowers the bill when devs sleep.
The Pain: Managing hundreds of low-traffic client sites on expensive VPS.
The Kinesis Win: Pack client sites onto our platform. High
idle time = massive profit margins.
Plug your existing hardware—or cloud credits—into the Kinesis grid. Keep control of where workloads run, while standardizing deployment, observability, and billing across your fleet.