Understand concurrent work
Separate ongoing inference from training and evaluation jobs so their competing resource needs can be measured.
RAIN / Hardware
Plan for a broader local workload.
A proposed node direction for more demanding combinations of signals, models, and retained history. Define the workload before committing to capacity.
Proposed lineup
INTELLIGENCE BELONGS WHERE THE DATA LIVES.
01 / THE IDEA
Capacity starts with a workload map.
MAX represents a proposed broader-scope configuration in the RAIN lineup. It is not a released high-performance device. Its requirements would emerge from measured model demands, concurrent tasks, retention needs, and the constraints of an actual site.
Account for retained history
Map signal volume and review periods to storage requirements. Include the operating record as well as incoming measurements.
Respect the installation
Assess available power, cooling, connectivity, service access, and site rules before choosing any equipment.
02 / IN PRACTICE
How the pieces come together.
Define the scope, preserve the boundary, and make the outcome something a person can inspect.
- 01
Inventory workloads
List the models and data sources expected to share the node, including the timing of periodic evaluation jobs.
- 02
Measure contention
Evaluate which tasks compete for compute or storage and what delays would be acceptable to operators.
- 03
Define the configuration
Turn those measurements into a pilot hardware proposal and validation plan rather than assuming a named tier will fit.
03 / A FEW DETAILS
Worth understanding.
What processor or accelerator does MAX use?
No processor, accelerator, memory, or storage configuration has been finalized. Hardware selection remains part of pilot scoping.
Does MAX promise higher model accuracy?
No. Model usefulness depends on data, task definition, and evaluation. A proposed capacity tier does not establish accuracy or field performance.
BUILD WITH RAIN
One site. One question.
A useful next step.
RAIN is preparing for its first field pilot. Start by defining the environment, the data boundary, and what success should look like.