Accelerate your digital transformation strategy!
Whether your goal is to build your own private distributed compute network, run workloads on-premise enabling the lowest possible latency, or easily manage multi-cloud and hybrid cloud environments, Kazuhm can help you get there quickly and easily. Explore the solutions we provide to today’s most common IT roadblocks.
Manage Multi-Cloud/Hybrid-Cloud Architectures
Integrate and manage your resources across cloud vendors with one easy-to-use platform.
Tired of trying to keep up with the ever-changing user interfaces of multiple cloud vendors? Or is the complexity of managing assets from multiple vendors keeping you locked-in to a single vendor?
Kazuhm connects all your compute resources, in the cloud or on-premise. And it does so with new or existing resources, regardless of the cloud vendor, hardware or operating system being used.
Manage AWS, Google Cloud, and Azure cloud assets from one unified platform.
Offset Cloud Costs
Organizations large and small are seeing their cloud costs increase. Kazuhm can help!
IDC predicts that worldwide public cloud spending will reach $500 billion in 2023.
At the same time, most companies have in-house resources such as desktops and servers that sit idle up to 70% of the time.
Why not capture that unused capacity sitting within your own four walls to offset rising cloud costs? Kazuhm allows users to run any containerized application on their own Linux and Windows desktops as well as servers.
Try our cost savings calculator to see how much you could save with Kazuhm!
Data Science On Demand
Take the complexity out of deploying Spark and Jupyter Notebook.
As organizations worldwide deploy Artificial Intelligence and Machine Learning initiatives, demand for data science tools continues to grow. This places new demands on IT teams who need to support their data science colleagues with app configuration and workload processing.
Kazuhm offers out-of-the-box Spark and Jupyter Notebook functionality saving your data science and engineering teams time and money! Have your data science applications up and running on your on-premise Linux and Windows machines or in the cloud in just minutes.
Self-service ease of use has users working on the right things and reduces the IT support burden. With Kazuhm, the configuration that often takes hours or even days by an IT professional is completed in minutes without help from your IT department.
When milliseconds count, you want to be able to process your workloads on-premise or in the field.
Achieving the lowest possible latency means processing workloads as close as possible to where your data is generated – enabling the best possible decision-making and fastest reaction times.
Unify your compute resources on-premise or in the field to create powerful ad hoc networks. Kazuhm allows workloads that might otherwise have to be sent outside of your network to the cloud to be processed using your own compute resources, including desktops, servers, and soon, even edge devices.
On-Site Distributed Computing
Create your own private compute fabric anywhere you have compute resources.
Desktop or server-based distributed computing or grid networking has been an enticing concept within IT departments at universities or enterprises for decades. But the appetite for it has always been driven by internal demand, capabilities of the machines of the times, or the imagination and bandwidth of the engineers within the organization.
Enterprise software solutions that enable private, corporate distributed networks have traditionally been expensive and limited in their ability to incorporate desktop computers.
Kazuhm’s container-based technology and AI-driven orchestrator allow companies to quickly and easily deploy their own private grid using on-premise desktops and servers or even edge devices to create a powerful compute fabric – all at a price that fits any IT budget.