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Your 2018 Guide on How to Buy FPGA

Posted by John Pallazola

Dec 4, 2017 9:17:00 AM

How do you buy FPGA for a fraction of the Franchised price tag?

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Topics: FPGA

Xilinx Zynq UltraScale XC7Z035-2FFG676E From EarthTron

Posted by John Pallazola

Nov 21, 2017 8:09:00 AM

Xilinx Zynq UltraScale FPGA
All parts factory sealed with traceability.

XC7Z035-2FFG676E 
Quantity: 2100pcs

Datecode: 1605

 

Click the button below to submit a RFQ for XC7Z035-2FFG676E 

Submit RFQ Now!

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Topics: FPGA

Intel FPGA Cyclone V Family

Posted by John Pallazola

Nov 2, 2017 1:15:00 PM

Intel FPGA Memory
Cyclone V Family
All parts factory sealed with traceability.

 

5CEFA7U19A7N

Quantity: 768pcs

Datecode: 17+

Pricing: USD $325.00/pc


 

10AS066N3F40I2SG

Quantity: 67pcs

Datecode: 17+

Pricing: USD $3765.00/pc

 

 

5CEFA7U19I7N

Quantity: 677pcs

Datecode: 17+

Pricing: USD $225.00/pc

 

5CEFA9U19I7N

Quantity: 789pcs

Datecode: 17+

Pricing: USD $372.00/pc

 

Click the button below to submit a RFQ for Intel FPGA

Submit RFQ Now!

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Topics: FPGA

Intel FPGA MAX II Family Available EPM1270T144C4N and EPM570T100C5N

Posted by John Pallazola

Oct 31, 2017 8:19:53 AM

Intel FPGA MAX II Family
All parts factory sealed with traceability.

The MAX II CPLD family is a non-volatile, instant-on programmable logic family using an industry-first CPLD architecture that allows you to reduce system power, space, and price.

Applications:

  • Power-up sequencing
  • System configuration
  • I/O expansion
  • Interface bridging
 

EPM1270T144C4N

Quantity: 1189pcs

Datecode: 17+

Pricing: USD $19.80/pc

CPLD MAX II Family 980 Macro Cells 247.5MHz 0.18um Technology 2.5V/3.3V 144-Pin TQFP


 

EPM1270F256C5N

Quantity: 2287pcs

Datecode: 17+

Pricing: USD $17.50/pc

FBGA IC EPM1270F256C5N


EP4SGX530KH40C3N

Quantity: 145pcs

Datecode: 17+

Pricing: USD $3890.00/pc

IC FPGA 744 I/O 1517HBGA


 

EPM570T100C5N

Quantity: 5643pcs

Datecode: 17+

Pricing: USD $12.25/pc

CPLD Max II EPM570T100C5N TQFP100



 

Click the button below to submit a RFQ for Intel FPGA Memory 

Submit RFQ Now! 
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Topics: FPGA

Intel FPGA and Micron Memory From Earthtron

Posted by John Pallazola

Oct 30, 2017 12:46:00 PM

Intel FPGA and Micron Flash Memory 
All parts are factory sealed with tractability. 
 

Intel FPGA Offers:

 

EP3C5E144C8N

Quantity: 2567pcs

Datecode: 17+

Pricing: USD $12.70/pc

FPGA Cyclone III Family 5136 Cells 402MHz 65nm Technology 1.2V 144-Pin EQFP EP

 

EPM570T100C5N

Quantity: 1767pcs

Datecode: 17+

Pricing: USD $12.70/pc

CPLD Max II EPM570T100C5N TQFP100

 

Click the button below to submit a RFQ for Intel FPGA:

 Submit RFQ Now!

 
Micron Memory:
 

MT29C8G96MAZBBDJV-48 IT

Quantity: 18,000pcs

Datecode: 17+

Pricing: USD $9.45/pc

Combo Mem 512Mx16 Flash + 128Mx32 LPDDR SDRAM 1.8V 168-Pin VFBGA

 

MT18KSF1G72PDZ-1G6P1

Quantity: 400pcs

Datecode: 17+

Pricing: USD $138.00/pc

MODULE DDR3L SDRAM 8GB 240RDIMM

 

MT29TZZZ8D5JKEZB-107 W.95Q

Quantity: 20,000pcs

Datecode: 17+

Pricing: USD $13.85/pc

Combo Mem 8Gx8 MLC NAND eMMC + 256Mx32 Mobile LPDDR3 SDRAM 3.3V 221-Pin WFBGA

 

MT41K128M16V89C3WC1

Quantity: 90,000pcs

Datecode: 17+

Pricing: USD $3.75/pc

 DDR3 2G DIE 128MX

 

Click the button below to submit a RFQ for Micron Flash Memory 

  Request For Quote: Flash Memory

 

 

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Topics: Flash Memory, Micron Flash, intel, FPGA

New Memory and FPGA Offers

Posted by John Pallazola

Oct 27, 2017 2:37:52 PM

Micron Flash Memory and FPGA Available from EarthTron
All parts are factory sealed with tractability. 
 
Micron Memory:
 
MT41K128M16JT-107:K

Quantity: 150,000pcs

Datecode: 17+

Pricing: USD $3.45/pc

DRAM Chip DDR3L SDRAM 2G-Bit 128Mx16 1.35V 96-Pin F-BGA 

 

MT41K256M16TW-107:P

Quantity: 100,000pcs

Datecode: 17+

Pricing: USD $5.85/pc

DRAM Chip DDR3L SDRAM 4Gbit 256Mx16 1.35V 96-Pin FBGA

 

MT47H64M16NF-25E:M

Quantity: 50,000pcs

Datecode: 17+

Pricing: USD $1.85/pc

DRAM Chip DDR2 SDRAM 1G-Bit 64M x 16 1.8V 84-Pin FBGA

 

MT41K256M8DA-125:K

Quantity: 48,000pcs

Datecode: 17+

Pricing: USD $2.75/pc

DRAM Chip DDR3L SDRAM 2G-Bit 256Mx8 1.35V 78-Pin F-BGA

 

Click the button below to submit a RFQ for Micron Flash Memory 

  Request For Quote: Flash Memory

 

Intel FPGA Offers:

 

5SGXEA7K2F40I3N

Quantity: 275pcs

Datecode: 17+

Pricing: USD $3800.00/pc

IC FPGA 696 I/O 1517FBGA 

 

5AGXFB3H4F35I5N

Quantity: 332pcs

Datecode: 17+

Pricing: USD $1250.00/pc

IC FPGA 544 I/O 1152FBGA

 

Click the button below to submit a RFQ for Intel FPGA:

 Submit RFQ Now!

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Topics: Flash Memory, Micron Flash, intel, FPGA

Xilinx Zynq UltraScale+ RFSoC Family

Posted by John Pallazola

Oct 10, 2017 4:18:19 PM

 
 
Xilinx is sampling its Zynq UltraScale+ RFSoC family, an architecture integrating the RF signal chain into an SoC for 5G wireless and radar.
 
Based on 16nm UltraScale+ MPSoC architecture, the All Programmable RFSoCs monolithically integrate RF data converters for up to 50-75 percent system power and footprint reduction. There are silicon samples already shipping to customers and the early access program for the Zynq UltraScale+ RFSoC family is now available.

Xilinx Zynq RFSoCs combine RF data converters with high performance 16nm UltraScale+ programmable logic and ARM multi-processing system, creating a comprehensive analog-to-digital signal chain.
 
The Zynq UltraScale+ RFSoC brings analog, digital, and embedded software design onto a single monolithic device for system strength.
 

Applications include: remote radio head for massive-MIMO, millimeter wave mobile backhaul, 5G baseband, fixed wireless access, Remote-PHY nodes for cable, radar, test & measurement, SATCOM, and Milcom / Airborne Radio and other high performance RF applications.
 
Zynq UltraScale+ RFSoC devices now make possible the most bandwidth intensive systems for next generation wireless infrastructure. 
 
 
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Topics: xilinx, FPGA

XC7Z035-2FFG900I Xilinx ZYNQ FPGA In Stock

Posted by John Pallazola

Sep 28, 2017 4:48:38 PM

Xilinx ZYNQ FPGA In Stock
 
Information
MFG: Xilinx
Part NumberXC7Z035-2FFG900I
Quanity:   98
Date code: 16
Price: $845 USD Each
Description: IC SOC CORTEX-A9 KINTEX-7 900BGA Zynq7035
Series: Zynq-7000
 
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Topics: xilinx, FPGA

FPGA Wins For Microsoft AI Applications

Posted by Danielle Leger

Aug 29, 2017 2:24:36 PM

Microsoft is one of the largest end-user of FPGAs for datacenter applications, accelerating a wide space of their massive computing infrastructure and applications on Bing and Azure. To demonstrate their resulting prowess, Microsoft unveiled Project Brainwave, a scalable acceleration platform for deep learning, which can provide real time responses for cloud-based AI services.  

The Microsoft Brainwave mezzanine card extends each server with an Intel Altera Stratix 10 FPGA accelerator, synthesized to act as a “Soft DNN Processing Unit,” or DPU, and a fabric interconnect that enables datacenter-scale persistent neural networks.

Microsoft’s Project Brainwave consists of three components:

1. A high-performance systems architecture that pools accelerators for datacenter-wide services and scale. By linking their accelerators across a high bandwidth, low-latency fabric, Microsoft can dynamically allocate these resources to optimize their utilization while keeping latencies very low.

2.  A “soft” DNN processor (DPU) that is programmed, or synthesized, on Altera FPGAs. 
 
3. A compiler and run-time environment to support efficient deployment of trained neural network models using CNTK, Microsoft’s DNN platform. 
Access Our Special  FPGA Price List

A fully custom chip, or ASIC, can give companies like Google a very fast machine learning accelerator at lower per-unit costs, but the development process can be cost-prohibitive, lengthy, and result in a fixed function chip, impeding one’s ability to quickly adapt silicon implementations as algorithms evolve. Microsoft pointed to this tradeoff in their announcement as a primary driver for their FPGA-based strategy. By using an FPGA instead of an ASIC for their “soft” DPU, Microsoft believes it can better optimize their hardware for their software at lower cost and with greater flexibility over time.

A great example of the advantage of FPGAs in machine learning is the ability to customize the level of precision required for a particular layer in a deep neural network. With an FPGA, a neural net designer could model each layer in the net with the optimal number of bits, which can have a significant impact on performance and efficiency.

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Topics: FPGA

Xilinx FPGA In Stock and Ships Today: XC2V1500-4FG676C, XC3S1000-4FT256C and XCF04SV020C

Posted by Danielle Leger

Aug 24, 2017 12:04:24 PM

 
 

ManufacturerXilinx

Part: XC2V1500-4FG676C

Quantity:  2,555 pieces

Description: IC FPGA 392 I/O 676FBGA

 

 

 

 

 

 

 

 


ManufacturerXilinx

Part: XC3S1000-4FT256C

Quantity:  138 pieces

Description: IC FPGA 173 I/O 256FTBGA

 
 
 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 


ManufacturerXilinx

Part: XCF04SV020C 

Quantity:  153 pieces

Description: Serial EEPROM, 20 Pin, Plastic, TSSOP

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Topics: FPGA, xilinx

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