10AS027H4F35E3SG
| Parameters | |
|---|---|
| Factory Lead Time | 1 Week |
| Surface Mount | YES |
| Published | 2016 |
| Number of Terminations | 1152 |
| HTS Code | 8542.39.00.01 |
| Subcategory | Field Programmable Gate Arrays |
| Technology | CMOS |
| Terminal Position | BOTTOM |
| Terminal Form | BALL |
| Peak Reflow Temperature (Cel) | NOT SPECIFIED |
| Supply Voltage | 0.9V |
| Terminal Pitch | 1mm |
| Time@Peak Reflow Temperature-Max (s) | NOT SPECIFIED |
| JESD-30 Code | S-PBGA-B1152 |
| Number of Outputs | 384 |
| Qualification Status | Not Qualified |
| Operating Temperature (Max) | 100°C |
| Supply Voltage-Max (Vsup) | 0.93V |
| Power Supplies | 0.9V |
| Temperature Grade | OTHER |
| Supply Voltage-Min (Vsup) | 0.87V |
| Number of Inputs | 384 |
| Programmable Logic Type | FIELD PROGRAMMABLE GATE ARRAY |
| Number of Logic Cells | 270000 |
| Height Seated (Max) | 3.5mm |
| Length | 35mm |
| Width | 35mm |
| RoHS Status | Non-RoHS Compliant |
This SoC is built on core processor(s).
A 0.9V power supply should be used.There are voltages higher than 0.93V that should be avoided when using the SoCs wireless.Power supply should be at least 0.87V.Depending on your specific needs, FIELD PROGRAMMABLE GATE ARRAY can be re-configured.In total, there are 1152 terminations, so system on a chip is really aided by this.There is no doubt that this system on a chip is outstanding, just as other high-quality Field Programmable Gate Arrays will do.Using this SoC chip, you have the option of having 384 outputs.In order to use system on chip, you will need a power supply of 0.9V.The SoC chip is equipped with 384 inputs.System on chips of logic are comprised of 270000 logic cells.It is likely that the performance of this SoC on chip will be compromised if the temperature is elevated above 100°C.
processor.
There are a lot of Altera
10AS027H4F35E3SG System On Chip (SoC) applications.
- Industrial automation devices
- PC peripherals
- Functional safety for critical applications in the industrial sectors
- Efficient hardware for training of neural networks
- Self-aware system-on-chip (SoC)
- Vending machines
- Automotive gateway
- Efficient hardware for inference of neural networks
- Personal Computers
- Temperature
