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- Traditional HPC systems are similar to Hardware as a Service (HaaS), while C3.ai is more like a Platform as a Service (PaaS).
Users are encouraged to work within the platform's API to achieve the best performance out of C3.ai. - C3.ai offers a state-of-the-art data integration system as the basis for all Data Science operations.
This is in contrast to HPC systems where all components of data management and the analysis pipeline must be installed and
managed independently.
What types of software can be run on C3.ai?
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For many researchers, accessing the public API for the COVID-19 Federated Data Image will be enough for their research goals.
The public API provides fetch access to many datalake objects, and metrics access to some time series data such as case
data.case data,
and allows you to pull local copies of those objects and metrics results into your local compute environment.
Level 2: Full C3 Datalake Access
Full access to the Datalake offers access to all stored COVID-19 Datalake data while still allowing the researcher to use whatever analysis
framework analysis framework they so choose with their own compute resources. This level offers the fastest startup time while still ensuring
access to all data. Once you learn how to query data in C3, that data can be streamed to your compute resources wherewhere you can
you can use your language and tools of choice.
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Some researchers will want to write their own C3 package and leverage more of the AI Suite. C3 allows researchers to
define their own types and methods to integrate their data into the C3 AI Suite along side the – either independently or alongside the COVID-19
Datalake. This allows
researchers allows researchers to use C3 data analytics methods such as timeseries metrics just as they would on other
Datalake data.
Researchers Researchers will also have the ability to share their data with other researchers in the DTI by sharing their package.
Adding another researcher's package as a dependency to your package will also bring another researcher's data into
your package as well.
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This section introduces the process to access C3.ai. Generally speaking, once you receive your grant,
the DTI team will reach out and discuss with you what your needs are. The process will be:
- Determine which researchers will require access to a C3.ai environment
- Each researcher will be given a C3.ai developer portal login.
- Each researcher will be given a tag on the C3.ai DTI training cluster.
- Once training is complete, Discuss discuss with the DTI team what your needs
for a C3.ai cluster will be. - The C3.ai DTI will work with C3.ai to stand up a new tag for your research.
- Access to that tag will be granted to your researchers
- Research can then proceed until your allocation is exhausted!
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