Parameters |
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 |
240 |
Programmable Logic Type |
FIELD PROGRAMMABLE GATE ARRAY |
Number of Logic Cells |
320000 |
Height Seated (Max) |
3.25mm |
Length |
27mm |
Width |
27mm |
RoHS Status |
Non-RoHS Compliant |
Factory Lead Time |
1 Week |
Surface Mount |
YES |
Published |
2016 |
Number of Terminations |
672 |
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-B672 |
Number of Outputs |
240 |
This SoC is built on core processor(s).
A power supply with a 0.9V rating is recommended.In the SoCs wireless, voltages above 0.93V are considered unsafe.As long as it receives a power supply that is at least 0.87V, it should be able to function.The FIELD PROGRAMMABLE GATE ARRAY can be configured to meet different design requirements.system on a chip benefits from 672 terminations.Just like other high-quality Field Programmable Gate Arrays will do, it is of outstanding system on a chip capability.In order for this SoC chip to work properly, you can have 240 outputs.This system on chip SoC requires 0.9V power supply at all.A SoC chip with 240 inputs is available.Logic system on chips features 320000 logic cells.Temperatures over 100°C may compromise this SoC on chip's performance.A malfunction of this system on a chip SoC may occur if the temperature falls below -40°C.
processor.
There are a lot of Altera
10AS032E4F27I3LG System On Chip (SoC) applications.
- Smartphone accessories
- Mouse
- AC-input BLDC motor drive
- Vending machines
- Cyberphysical system-on-chip
- System-on-chip (SoC)
- Central inverter
- Efficient hardware for training of neural networks
- Industrial sectors
- Remote control