Some of the most consequential decisions in a chiplet program happen before there is hardware to test. You choose how to partition the design, where to place memory, how to connect the dies, and what the package must deliver in power and cooling. Each choice affects the others. Increasing chiplet spacing may improve the thermal situation while making interconnects more difficult. A compact layout may look attractive until you examine where the power is concentrated and how heat will leave the assembly. Your team needs a way to explore those tradeoffs while the design is still flexible.
Anemoi Software, Thrace Systems, and Palo Alto Electron help you do that through complementary capabilities in package design, power analysis, thermal simulation, and hardware engineering. We can help you build models around the questions your program needs to answer, compare the alternatives, and plan the measurements needed to validate the selected design. That work establishes the foundation for a digital twin that becomes more useful as the design develops and physical evidence becomes available.
A good starting point is often a decision that is already holding up the program. Suppose you are choosing between two arrangements of compute chiplets and memory. You need to understand whether the more compact option offers enough benefit to justify its packaging and cooling demands. Thrace Systems’ DankaChiplet supports package and placement studies that keep interconnect, power-delivery, and thermal assumptions attached to the architecture being evaluated. PowerMeter adds power, current, and energy analysis across operating scenarios. Together, those capabilities help your team define a more meaningful comparison than a floorplan and a single total-power number can provide.
Anemoi Software then helps you investigate the thermal consequences of those choices. DankaThermal supports geometry, materials, and detailed power maps, with steady-state and transient analysis across chiplets, packages, boards, and electronic assemblies. You can examine sustained operation, study how temperatures develop during a changing power sequence, and compare changes to spacing, interface materials, or cooling. The purpose of the study is to guide an engineering decision: whether to revise the layout, improve a particular thermal path, reconsider the power allocation, or move a candidate design into prototyping.
This is especially useful when several changes look promising and your team needs to decide where to spend its effort. A larger heat sink, a different interface material, and a revised chiplet placement may all deserve consideration, but their value depends on the rest of the system. By comparing them under consistent assumptions, you can identify which changes meaningfully affect the predicted result and which uncertainties need better input data. You also have a clearer explanation to share with the people responsible for the package, board, cooling solution, and product requirements.
Palo Alto Electron helps carry that work into hardware through chiplet and package design, board engineering, power and signal integrity, manufacturing coordination, and system bring-up. This connection matters because even a carefully constructed model contains assumptions that must eventually be checked. Measurements and diagnostics allow your team to compare predicted behavior with the system that was built, investigate differences, and refine the model. An unexpected temperature, for example, may lead back to a power estimate, a thermal interface, or a cooling condition that differs from the original study. Understanding that difference improves both the immediate design and the basis for the next revision.
That process of prediction, measurement, and refinement is how a design model can develop into a calibrated digital twin. It requires care in keeping the model and hardware aligned: the package revision, material properties, power scenario, and test conditions all matter. Calibration also has a scope. If you change the package construction or move to a different operating envelope, some of the earlier assumptions may need to be tested again. Our combined capabilities support the engineering work needed to build that connection and maintain its usefulness as the program evolves.
You do not need to begin with a model of the entire product lifecycle. You can start by comparing two package options, investigating a thermal bottleneck, reviewing power assumptions, or preparing a prototype and measurement plan. Anemoi Software, Thrace Systems, and Palo Alto Electron can help define the study, evaluate the alternatives, and determine what evidence your next decision requires. Bring us the design you are considering, the constraints you are working within, and the question your team needs to resolve. We can help you move from competing assumptions to a better-supported engineering decision.