Traditional computing requires investments in hardware and software. Organizations are forced to choose the appropriate hardware to purchase, and then to maintain it for its usable lifetime. Likewise, they must choose what software to purchase and install to make their team productive.
With Cloud computing, things change for the hardware investment. Organizations are not forced to make long-term equipment choices with expensive price tags. Instead, they can choose pay-as-you-go computing that confers unprecedented flexibility. Users can execute compute-intensive tasks on high-performance computers with economical hourly rates instead of incurring the large capital outlay of acquiring and maintaining those high-performance computers. Then users fall back to cheaper pay-as-you-go solutions for routine tasks. That is flexibility.
Computing needs can change and they can change quickly. Teams grow and shrink. Priorities change. With those changes workers need more or less computer time. With Cloud computing, users can get the compute capacity they need when they need it. The Cloud solution extends to meet your needs, even when they change hourly. That is elasticity.
With the Dragonfly Cloud extension, you can take your investment in a Dragonfly license and experience flexible, elastic cloud computing. Your software investment has never been more valuable. Unleash your team on Dragonfly Cloud and experience the productivity gains of cloud computing today.
Find out more:
INTRODUCING DRAGONFLY FOR AMAZON CLOUD Webinar
Comparison of Dragonfly Workstation versus Dragonfly Cloud
|Dragonfly Workstation||Dragonfly Cloud|
|Number of users||1||Elastic|
|Hardware costs||Department budget||Pay-as-you-go|
(hardware & software upgrades, network maintenance, software installation)
Yes. Contact us to arrange a demo of Dragonfly Cloud.
Most users report little or more discernible difference when working on the cloud compared to local workstations.
For now, Dragonfly Cloud can run on Amazon only. Support for other services, such as Google and Azure, will be available in the near future.
Dragonfly Cloud offers the option to choose the best hardware for your imaging needs. If you choose a better quality GPU for training on the cloud than on your workstation, you should notice an improvement in performance.
No. When Dragonfly is running, you pay for the total amount of allotted space. This means that data processed within that space would not be charged. Charges would be effective only if the data is saved to permanent storage.
All filters are implemented on the CPU, while deep learning is GPU-based. In addition, you always need a GPU for visualization.
Data security is strictly between you and Amazon.
Yes. You would need to buy the cloud extension and then share that license key, one user at a time.
Non-commercial licenses holders need to be covered under a Maintenance and Service plan to upgrade to Dragonfly Cloud.
You should contact Amazon for this information.
No. The VizServ has an annual fee and a different licensing model.