10AS032E4F29I3SG
| Parameters | |
|---|---|
| Factory Lead Time | 1 Week |
| Surface Mount | YES |
| Published | 2016 |
| Number of Terminations | 780 |
| 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-B780 |
| Number of Outputs | 360 |
| Qualification Status | Not Qualified |
| Operating Temperature (Max) | 100°C |
| Operating Temperature (Min) | -40°C |
| Supply Voltage-Max (Vsup) | 0.93V |
| Power Supplies | 0.9V |
| Temperature Grade | INDUSTRIAL |
| Supply Voltage-Min (Vsup) | 0.87V |
| Number of Inputs | 360 |
| Programmable Logic Type | FIELD PROGRAMMABLE GATE ARRAY |
| Number of Logic Cells | 320000 |
| Height Seated (Max) | 3.35mm |
| Length | 29mm |
| Width | 29mm |
| RoHS Status | Non-RoHS Compliant |
This SoC is built on core processor(s).
It is advised to utilize a 0.9V power supply.For the SoCs wireless, a voltage higher than 0.93V is considered unsafe.Power supplies of at least 0.87V are required.The configuration of FIELD PROGRAMMABLE GATE ARRAY can be adapted to meet the needs of different design projects.It is really beneficial to have system on a chip since there are 780 terminations in total.As any high-quality Field Programmable Gate Arrays, it is a system on a chip of outstanding capabilities.This SoC chip is capable of having 360 outputs, which is convenient.A power supply of 0.9V is required to run system on chip.The SoC chip offers 360 inputs.A logic SoC has 320000 logic cells.This SoC on chip's performance may compromise if the temperature rises over 100°C.If the temperature falls below -40°C, this system on a chip SoC could malfunction.
processor.
There are a lot of Altera
10AS032E4F29I3SG System On Chip (SoC) applications.
- CNC control
- Published Paper
- Medical
- Optical drive
- Efficient hardware for inference of neural networks
- Efficient hardware for training of neural networks
- Vending machines
- Sensor network-on-chip (sNoC)
- Industrial
- Networked sensors
