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10AX115U2F45I2SGES

10AX115U2F45I2SGES

10AX115U2F45I2SGES

Intel

3.65mm mm FPGAs Arria 10 GX Series 1932-BBGA, FCBGA 1mm mm

SOT-23

10AX115U2F45I2SGES Datasheet PDF

non-compliant

Technical Specifications

Parameter NameValue
TypeParameter
Mounting Type Surface Mount
Package / Case 1932-BBGA, FCBGA
Surface MountYES
Operating Temperature-40°C~100°C TJ
PackagingTray
Series Arria 10 GX
Part StatusDiscontinued
Moisture Sensitivity Level (MSL) 3 (168 Hours)
HTS Code8542.39.00.01
Voltage - Supply 0.87V~0.98V
Terminal Position BOTTOM
Terminal FormBALL
Supply Voltage 0.9V
Terminal Pitch1mm
JESD-30 Code S-PBGA-B1932
Number of I/O 480
Programmable Logic TypeFIELD PROGRAMMABLE GATE ARRAY
Number of Logic Elements/Cells 1150000
Total RAM Bits 68857856
Number of LABs/CLBs 427200
Length 45mm
Height Seated (Max) 3.65mm
Width 45mm
RoHS StatusRoHS Compliant
In-Stock:3582 items

Pricing & Ordering

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10AX115U2F45I2SGES Product Details

10AX115U2F45I2SGES Overview


Fpga chips is supplied in the 1932-BBGA, FCBGA package. This kind of FPGA is composed of FIELD PROGRAMMABLE GATE ARRAY. Fpga chips is programmed wFpga chipsh 480 I/Os for transferring data in a more coherent manner. There are 1150000 logic elements/cells to form a fundamental building block. Fpga chips is powered from a supply voltage of 0.9V. This FPGA module can be attached to the development board with a Surface Mount. Fpga chips operates wFpga chipsh a supply voltage of 0.87V~0.98V. It is a type of FPGA belonging to the Arria 10 GX seies. The operating temperature should be kept at -40°C~100°C TJ when operating. This FPGA model is contained in Tray for space saving. The RAM bits that this device offer is 68857856. This FPGA is built as an array of 427200 LABs/CLBs.

10AX115U2F45I2SGES Features


480 I/Os
Up to 68857856 RAM bits


10AX115U2F45I2SGES Applications


There are a lot of Intel
10AX115U2F45I2SGES FPGAs applications.


  • Digital signal processing
  • Bioinformatics
  • Device controllers
  • Software-defined radio
  • Random logic
  • ASIC prototyping
  • Medical imaging
  • Computer hardware emulation
  • Integrating multiple SPLDs
  • Voice recognition

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