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About

Kinesis is a unified compute platform that turns fragmented infrastructure across clouds, on-premises systems, edge environments, and partner data centers into one orchestrated grid. Teams can push a GitHub repository, provide a Dockerfile or container image, connect a registry, choose a template, or describe an application, and Kinesis inspects the workload, finds suitable CPU or GPU capacity, and returns a live deployment. Its intent-driven controls let users optimize for cost, reliability, latency, or multi-cloud operation without wiring VPCs, IAM hierarchies, security groups, or other infrastructure plumbing. Standard containers run across providers without rewrites or lock-in, while networking, autoscaling, monitoring, health checks, failover, recovery, certificates, secrets, and rollbacks are built into every deployment. It continuously makes placement, scaling, utilization, and failure-handling decisions across a heterogeneous compute graph.

About

QumulusAI delivers supercomputing without constraint, combining scalable HPC with grid-independent data centers to break bottlenecks and power the future of AI. QumulusAI is universalizing access to AI supercomputing, removing the constraints of legacy HPC and delivering the scalable, high-performance computing AI demands today. And tomorrow too. No virtualization overhead, no noisy neighbors, just dedicated, direct access to AI servers optimized with NVIDIA’s latest GPUs (H200) and Intel/AMD CPUs. QumulusAI offers HPC infrastructure uniquely configured around your specific workloads, instead of legacy providers’ one-size-fits-all approach. We collaborate with you through design, deployment, to ongoing optimization, adapting as your AI projects evolve, so you get exactly what you need at each step. We own the entire stack. That means better performance, greater control, and more predictable costs than with other providers who coordinate with third-party vendors.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Biotech engineering teams that need portable, reliable GPU infrastructure for running demanding AI and simulation workloads

Audience

Research institutions wanting a solution to accelerate AI training, inference, and deployment, while ensuring energy efficiency and cost predictability

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Kinesis Network
Founded: 2024
United States
kinesis.network/

Company Information

QumulusAI
Founded: 2019
United States
www.qumulusai.com

Alternatives

Alternatives

Targon

Targon

Manifold Labs
Lambda

Lambda

Lambda.ai

Categories

Categories

Integrations

GitHub
NVIDIA DRIVE

Integrations

GitHub
NVIDIA DRIVE
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