10AS048E2F29E2LG
| 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 |
| Supply Voltage-Max (Vsup) | 0.93V |
| Power Supplies | 0.9V |
| Temperature Grade | OTHER |
| Supply Voltage-Min (Vsup) | 0.87V |
| Number of Inputs | 360 |
| Programmable Logic Type | FIELD PROGRAMMABLE GATE ARRAY |
| Number of Logic Cells | 480000 |
| Height Seated (Max) | 3.35mm |
| Length | 29mm |
| Width | 29mm |
| RoHS Status | Non-RoHS Compliant |
This SoC is built on core processor(s).
A power supply with a 0.9V rating is recommended.There is no safe voltage for the SoCs wireless above 0.93V.Power supplies of at least 0.87V are required.In order to cater to different design requirements, FIELD PROGRAMMABLE GATE ARRAY can be reconfigured to serve different needs.The system on a chip uses 780 terminations in total.Likewise, it has a remarkable system on a chip capability, just like other high-quality Field Programmable Gate Arrays.It is possible to use this SoC chip with 360 outputs.As far as power supplies are concerned, system on chip requires 0.9V.This SoC chip is equipped with 360 inputs for the user to choose from.The logic SoC features 480000 logic cells.If the temperature rises above 100°C, this SoC on chip may lose its performance.
processor.
There are a lot of Altera
10AS048E2F29E2LG System On Chip (SoC) applications.
- Industrial transport
- Samsung galaxy gear
- Mouse
- Smart appliances
- High-end PLC
- Wireless networking
- Networked sensors
- Wireless sensor networks
- Industrial automation devices
- Efficient hardware for training of neural networks
