www.te.com Open in urlscan Pro
23.61.92.5  Public Scan

Form analysis
2 forms found in the DOM

<form class="track-fly-widget ng-pristine ng-valid">
  <div class="track-order-label dynamic-text-color">Track Your Order</div>
  <div class="no-order-found error-class dynamic-text-color hidediv" data-order-not-found="<p>The {1} that you entered is incorrect, please try again.</p>"></div>
  <div class="mule-sap-error error-class dynamic-text-color hidediv">
    <p>We have encountered an unexpected system error.</p>
  </div>
  <div class="flyout-session-timeout-error error-class dynamic-text-color hidediv">
    <p>Due to inactivity, you have been logged out of TE.com. Please re-enter your TE.com login information.</p><a href="#" class="error-signin"> Sign in</a>
  </div>
  <div class="flyout-search-container">
    <div class="search-label dynamic-text-color">
      <p>Search By:</p>
    </div>
    <select class="track-order-dropdown" data-target="target-value-flyout">
      <!--set the first option as selected value-->
      <option data-search-id="orderNbr-confirmationNbr" data-index="0" value="TE Order/Confirmation Number">TE Order/Confirmation Number</option>
      <!--set the first option as selected value-->
      <option data-search-id="purchaseOrderNbr" data-index="1" value="PO Number">PO Number</option>
      <!--set the first option as selected value-->
      <option data-search-id="deliveryNbr" data-index="2" value="Delivery Number">Delivery Number</option>
    </select>
    <span class="target-value-flyout"></span>
    <input type="text" name="orderInput" data-target="input-flyout" class="order-number-input" autocomplete="off">
    <div class="input-inline-error error-class dynamic-text-color hidediv" data-error-label="<p>Please enter a valid {1}.</p>"></div>
    <div class="check-order-link hidediv" data-api-host="https://api.te.com" data-order-status-url="http://www.te.com/commerce/oin/check_order_status.do"></div>
  </div>
  <button type="submit" class="view-order-cta" data-order-search-cta="flyout">View Order Details</button>
  <div id="flyout-qualtrics"></div>
</form>

/content/handle/search

<form action="/content/handle/search" type="GET" class="ng-pristine ng-valid">
  <div class="search-resizing-container submenu " data-aria-wrapper="true" aria-level="1">
    <input class="search-resizing-input" id="search-input" name="q" type="text" placeholder="Search by part # or keyword" value="" data-close-menus="true" data-arrow-entry-point="true" aria-controls="search-suggestions" autocomplete="off"
      maxlength="2000">
    <input name="source" type="hidden" value="header" autocomplete="off">
    <input name="s" type="hidden" value="/content/te-com/usa/en" autocomplete="off">
    <input name="l" type="hidden" value="en" autocomplete="off">
    <input name="c" type="hidden" value="usa" autocomplete="off">
    <i class="fas fa-search" role="presentation"></i>
    <input type="submit" value="Search by part # or keyword" tabindex="0">
    <button type="button" class="btn-block-1 btn-clr-4 btn-close"><i class="icon icon-close icon-medium" role="presentation"></i></button>
    <div class="search-suggestions-Bg"></div>
    <div class="search-suggestions" id="search-suggestions" data-arrow-container="true">
    </div>
    <div id="type-ahead-wrapper" data-arrow-container="true"></div>
  </div>
</form>

Text Content

TE Connectivity (TE) Need Help? +1 800 522 6752 or Live Chat
TE Connectivity (TE)
+1 800 522 6752
Track Your Order Track Your Order Track Your Order

US-EN

Track Your Order


We have encountered an unexpected system error.

Due to inactivity, you have been logged out of TE.com. Please re-enter your
TE.com login information.

Sign in

Search By:

TE Order/Confirmation Number PO Number Delivery Number


View Order Details


Skip Navigation

TE Connectivity

 * Products
    * Antennas
    * Application Tooling
    * Cable Assemblies
    * Connectors
    * EMI Filters
    * Energy & Power
    * Fiber Optics
    * Heat Shrink Tubing
    * Identification & Labeling
    * Passive Components
    * Relays, Contactors & Switches
    * Sensors
    * Terminals & Splices
    * Wire & Cable
    * Wire Protection & Management
    * View All >
   
   SHOP BY BRAND
   
    * Agastat
    * Alcoswitch
    * AMP
    * AMPACT
    * AMPOWER
    * American Sensor Technologies (AST)
    * Buchanan
    * COPALUM
    * Corcom
    * DEUTSCH
    * ENTRELEC
    * FASTON
    * HarnWare
    * HIRSCHMANN MOBILITY
    * Intercontec
    * Kilovac
    * Kissling
    * Measurement Specialties
    * Potter & Brumfield
    * Raychem
    * Rochester
    * Schrack
    * SEACON
   
   View All Brands
 * Industries & Solutions
    * 5G & Wireless Equipment
    * Aerospace & Space
    * Appliances
    * Automation & Control
    * Automotive
    * Autosport
    * Connected Home
    * Consumer Solutions
    * Data Centers & Artificial Intelligence
    * Defense & Military
    * Energy Solutions
    * Hybrid & Electric Mobility
    * Industrial Machinery
    * Intelligent Buildings
    * IoT Connectivity
    * Medical & Healthcare
    * Oil & Gas / Marine
    * Rail
    * Sensor Applications
    * Truck, Bus & Off-Road Vehicles
   
   Trends
   
    * TE Perspectives
    * Connected Life & Health Tech
    * Electric Vehicles & Connected Transportation
    * Industry 4.0 & Digital Factories
    * Smart Connectivity for Cities
    * Partnerships with Inventors & Entrepreneurs
    * Digital Manufacturing, Materials Science, & 3D Printing
    * From Inspiration to Innovation

 * Resources
    * TE.com Store
      Shop 1,000+ rugged connectors, available for purchase on TE.com
    * Samples
      Request free samples of TE products
    * Compare Products
      Evaluate up to 10 products
    * My Lists
      Save preferred products you can export and share
    * Customer Service
      Get expert answers fast
   
    * Documents & Drawings
    * Distributor Inventory
    * Product Cross Reference
    * Track TE Store & Sample Order
    * TE Store & Samples Order History
    * Product Compliance
    * Product Configurators & Selectors
    * Electrical Models
    * Management System Certifications
    * NAFTA/USMCA
    * View All Resources
   
   MY TOOLS
   
    * Data Export
    * Your Downloads
    * TE Direct Order History
    * Pricing and Availability
    * Request for Quote
    * TE Learning Connection
    * TE Learning Connection Manager
    * TE Learning Connection MFG Rep

Shop TE

Purchase items directly from TE.com



 * Sign In

 * Hi, GivenName
   Your Account
    * Sign Out

Product List
Cart
 * Products
 * Industries & Solutions
 * Resources
 * Shop TE
 * Cart (0)

 * Sign In
 * Track Your Order
 * * We are here to help!
   * Get in touch with our product experts.
     
   * +1 800 522 6752
   * Live Chat
   * Email us
 * 

 * Products
 * Industries & Solutions
 * Resources
 * Shop TE
 * Cart (0)

 * Hi, GivenName (Sign Out)
 * Your Account
 * Track Your Order
 * * We are here to help!
   * Get in touch with our product experts.
     
   * +1 800 522 6752
   * Live Chat
   * Email us
 * 

Products
Brands

Industries & Solutions
Trends

Resources
MY TOOLS

Cart

Our website has detected that you are using an unsupported browser that will
prevent you from accessing certain features.

We strongly recommend that you upgrade to the most recent version of your
browser.

 

Welcome to TE.com, you are viewing information for visitors in United States

CHOOSE ANOTHER SITE STAY ON THIS SITE CHOOSE YOUR COUNTRY/REGION

 * Insights


MACHINE LEARNING IN DATA CENTER ARCHITECTURES


TREND


THE NEW BREED OF DATA APPLICATIONS

When developing machine learning for a data center, all factors affecting the
performance, scalability, and resiliency must be considered from the beginning.

Design Next-Gen ML Applications


Having the right architecture can be crucial for successfully adding machine
learning to data centers. The data center’s infrastructure can be the key to
enabling the IT architecture’s functionality since most of its content is passed
through or sourced by the IT architecture.

 

When developing machine learning for the data center, all factors affecting the
facility’s performance, scalability, and resiliency should be considered at the
beginning, during the planning period. To accomplish this, system designers
typically focus on developing a flexible architecture that can support new
applications quickly.

 

Failure to address these aspects during planning can lead to inefficient or
inaccurate data architectures that can ultimately cause total system and power
failure, which can cause data center operators to lose massive volumes of
critical data.

 

There are several factors that can cause this kind of failure, including
incorrectly calculating the power requirements, incorrectly choosing the power
equipment, and incorrectly designing the automatic transfer mechanism. To help
optimize the capabilities of machine learning in today’s data center
architecture, system designers should consider the common issues causing system
failure and the components that can address the causes of these issues.


27693_TE Connectivity_Cloud Computing_v02


Video Player is loading.
Play Video
Play
Mute

Current Time 0:00
/
Duration 5:23
Loaded: 3.08%


0:00
Stream Type LIVE
Seek to live, currently behind liveLIVE
Remaining Time -5:23
 
1x
Playback Rate

Chapters
 * Chapters

Descriptions
 * descriptions off, selected

Captions
 * captions settings, opens captions settings dialog
 * captions off, selected

Audio Track
 * default, selected

Picture-in-PictureFullscreen

This is a modal window.



Beginning of dialog window. Escape will cancel and close the window.

TextColorWhiteBlackRedGreenBlueYellowMagentaCyanTransparencyOpaqueSemi-TransparentBackgroundColorBlackWhiteRedGreenBlueYellowMagentaCyanTransparencyOpaqueSemi-TransparentTransparentWindowColorBlackWhiteRedGreenBlueYellowMagentaCyanTransparencyTransparentSemi-TransparentOpaque
Font Size50%75%100%125%150%175%200%300%400%Text Edge
StyleNoneRaisedDepressedUniformDropshadowFont FamilyProportional
Sans-SerifMonospace Sans-SerifProportional SerifMonospace SerifCasualScriptSmall
Caps
Reset restore all settings to the default valuesDone
Close Modal Dialog

End of dialog window.

Close Modal Dialog

This is a modal window. This modal can be closed by pressing the Escape key or
activating the close button.




CTO INSIGHT ON CLOUD COMPUTING




VIDEO IN ENGLISH

TE CTO & VP Erin Byrne discuss her perspectives on Cloud Computing and
megatrends influencing design architecture.


CTO INSIGHT ON CLOUD COMPUTING


VIDEO IN ENGLISH

TE CTO & VP Erin Byrne discuss her perspectives on Cloud Computing and
megatrends influencing design architecture.

One issue in today’s data center industry is that the terms artificial
intelligence (AI) and machine learning are commonly used interchangeably, which
could lead to confusion and inaccuracies. What is key to remember is that
machine learning is typciallly a subset of AI. With AI, the focus is on
developing machines that can “think,” while machine learning is usually about
defining algorithms to allow machines to “learn” through repetitive functions.
While machine learning is not a new concept, one of the changes over the last
several years is the increase in computer processing power with a decrease in
the cost per bit. This can enable designers to find opportunities to make
machine learning a greater part of our everyday lives, from recommendation
engines such as Google and Netflix to integrated social media apps and
fingerprint and facial recognition on smartphones.

 

Since the emergence of the earliest machine learning applications in the
aerospace and airline industries, which has many enabled aircraft designers to
innovate in wing designs, many designers have evolved their thinking about
machine learning's uses toward a comprehensive understanding of aligning
potentials and tradeoffs when looking to optimize design.

 

This shift is having an impact in the data center, where we now often see the
use of AI and machine learning transitioning from limited applications in
standard computers and standalone boxes to a range of applications that are
silicon-specific. This cna help open the door for the industry to focus on
optimizing the data center network, using AI and machine learning in every part
of these network to expand functionality over time.

Featured Solutions for Machine Learning Systems


QSFP Interconnects Product Portfolio

QSFP-DD Connectors, Cages and Cable Assemblies

Mini-SAS HD Connectors & Cable Assemblies

LGA 3647 Sockets & Hardware

M.2 NGFF Connectors

MULTI-BEAM XLE Connectors



Over the next five years, the use of machine learning is expected to shift away
from dedicated infrastructures to more flexible infrastructures which can
provide the capacity to scale, change, and diversify instantly. While one of the
primary functions of machine-learning data gathering is centered around
human-to-machine interactions, an opportunity is moving toward
machine-to-machine interactions, which may not require the need for human data
or inputs. When machines begin creating communications paths, the systems could
help process and transmit data in ways that might give us new insights on larger
volumes of data.  

 

The process of adding machine learning into data systems such as servers and
data racks can often vary, depending on what the system designer is attempting
to achieve, as well as the data center operator’s workload for adding machine
learning into the core. 

 

Adding machine learning into new or existing data centers is commonly done to
solve an existing known problem, like problems in large learning pods or network
problems because of algorithms that were developed from received data. Most
solutions today tend to be customized to match the size of the problem.

 

Some challenges in designing customer solutions include optimizing power
distribution, reducing thermal levels, and improving high-speed/low-latency
performance in the interconnects. Because normally everything in the data center
must be interconnected, the system components should offer the flexibility to be
installed and work in small spaces and address the expected speed requirements
without increasing thermal output.

 

Often, designers need to account for the close proximity of hardware when
planning the architecture. Getting this balance right can require tradeoffs in
design, cost, and in power and cooling structures. Normally, a ceiling exists
for how much power can be properly controlled and cooled in data centers, which
can provide designers with guidance on making tradeoffs and can enable them to
develop more efficient accelerators and system designs and adopting advanced
thermals.


FEATURED PRODUCTS

Internal I/O Connectors

1-2340321-2

Sliver for SFF-TA-1002, Internal I/O Connectors, Sliver for SFF-TA-1002...



From$12.120

In-Stock

In-Stock

In-Stock

Non-Stocked

   
 * Internal I/O Connector Type : Sliver for SFF-TA-1002
   
 * Connector Mates With : PCB Edge Card
   
 * PCB Mount Orientation : Straddle Mount
   
 * Industry Standard : Gen-Z, OCP...

High Speed Backplane Connectors

2187658-1

STRADA Whisper 3.9mm, High Speed Backplane Connectors...



From$27.299

In-Stock

In-Stock

In-Stock

Non-Stocked

   
 * Connector System : Board-to-Board
   
 * Number of Positions : 48
   
 * Row-to-Row Spacing : 2.5 mm
   
 * Mating Alignment : With
   
 * Mating Alignment Type : Keyed
   

High Speed Backplane Connectors

2287841-1

STRADA Whisper 3.9mm, High Speed Backplane Connectors...



From$90.707

In-Stock

In-Stock

In-Stock

Non-Stocked

   
 * Connector System : Board-to-Board
   
 * Number of Positions : 128
   
 * Row-to-Row Spacing : 2.5 mm
   
 * Mating Alignment : With
   
 * Mating Alignment Type : Keyed
   

High Speed Backplane Connectors

2187194-1

STRADA Whisper 3.9mm, High Speed Backplane Connectors...



From$62.563

In-Stock

In-Stock

In-Stock

Non-Stocked

   
 * Connector System : Board-to-Board
   
 * Number of Positions : 96
   
 * Row-to-Row Spacing : 2.5 mm
   
 * Mating Alignment : With
   
 * Mating Alignment Type : Keyed
   

QSFP/QSFP+/zQSFP+

2170806-5

zQSFP+/QSFP28, QSFP/QSFP+/zQSFP+, Cage...



From

In-Stock

In-Stock

In-Stock

Non-Stocked

   
 * Pluggable I/O Product Type : Cage Assembly
   
 * Port Matrix Configuration : 1 x 2
   
 * EMI Containment Feature Type : Internal/External EMI Springs
   
 * Thermal Accessory Type Included : Heat Sink ...
   

QSFP/QSFP+/zQSFP+

2300281-1

zQSFP+/QSFP28, QSFP/QSFP+/zQSFP+, Cage...



From$13.505

In-Stock

In-Stock

In-Stock

Non-Stocked

   
 * Pluggable I/O Product Type : Cage Assembly
   
 * Port Matrix Configuration : 1 x 2
   
 * EMI Containment Feature Type : Internal/External EMI Springs
   
 * Included Lightpipe : No
   
 * Number of Ports : 2
   

Pluggable I/O Cable Assemblies

2337815-2

Mini-SAS HD, Pluggable I/O Cable Assemblies, Mini Serial Attached...



From$36.929

In-Stock

In-Stock

In-Stock

Non-Stocked

   
 * Pluggable I/O Cable Assembly Type : Mini Serial Attached SCSI (Mini-SAS) HD
   
 * Wire Size : 30 AWG
   
 * Wire Size : .051 mm²
   
 * Pluggable I/O Cable Assembly Shielded : Yes ...
   

High Speed Backplane Connectors

2298081-1

STRADA Whisper 3.9mm, High Speed Backplane Connectors...



From$54.236

In-Stock

In-Stock

In-Stock

Non-Stocked

   
 * Connector System : Board-to-Board
   
 * Number of Positions : 64
   
 * Row-to-Row Spacing : 3.9 mm
   
 * Mating Alignment : With
   
 * Mating Alignment Type : Keyed
   

QSFP/QSFP+/zQSFP+

2-2170754-3

zQSFP+/QSFP28, QSFP/QSFP+/zQSFP+, Cage...



From$18.995

In-Stock

In-Stock

In-Stock

Non-Stocked

   
 * Pluggable I/O Product Type : Cage Assembly
   
 * Port Matrix Configuration : 1 x 1
   
 * EMI Containment Feature Type : Elastomeric Gasket
   
 * Thermal Accessory Type Included : Heat Sink ...
   

QSFP/QSFP+/zQSFP+

2170806-1

zQSFP+/QSFP28, QSFP/QSFP+/zQSFP+, Cage...



From

In-Stock

In-Stock

In-Stock

Non-Stocked

   
 * Pluggable I/O Product Type : Cage Assembly
   
 * Port Matrix Configuration : 1 x 2
   
 * EMI Containment Feature Type : Internal/External EMI Springs
   
 * Thermal Accessory Type Included : Heat Sink ...
   

QSFP/QSFP+/zQSFP+

2-2170808-3

zQSFP+/QSFP28, QSFP/QSFP+/zQSFP+, Cage...



From$24.047

In-Stock

In-Stock

In-Stock

Non-Stocked

   
 * Pluggable I/O Product Type : Cage Assembly
   
 * Port Matrix Configuration : 1 x 2
   
 * EMI Containment Feature Type : Internal/External EMI Springs
   
 * Thermal Accessory Type Included : Heat Sink ...
   

QSFP/QSFP+/zQSFP+

2007304-5

zQSFP+/QSFP28, QSFP/QSFP+/zQSFP+, Accessory



From$0.927

In-Stock

In-Stock

In-Stock

Non-Stocked

   
 * Pluggable I/O Product Type : Accessory
   

At TE, we partner with our customers to help design and manufacture the
components that can address machine learning requirements in data centers
ranging from the hyperscale and collocation to requirements that can enable edge
computing. We can offer solutions engineered for high speed and power efficiency
in data center architectures, including direct attach, external copper cable
assemblies – with  interfaces, as well as our extra large array (XLA) socket
technology, card edge connectors, Strada Whisper backplane connector cable
assembliess, and internal high-speed copper cables. These products are often
chosen for our customers based on, more than anything else, the system design in
which they are going to be used. Our power designs include power cable
assemblies, busbars, power distribution systems, and thermal management
solutions.

 

In partnering with TE, our customer can expect reliable, durable, high
performance solutions while receiving expert guidance from engineers who can
address the architecture issues they may need to solve. Through these
collaborations, our customers can develop efficient, next-generation solutions
that they can scale quickly to integrate machine learning into their data system
core. Our engineers can help tackle performance problems, so our customer can
focus on other priorities, such as working on developing projects at the
application level and solving abstract software-related concerns.


TE AUTHORS

 * Erin Byrne, Chief Technology Officer and Vice President, Engineering, Data
   and Devices
 * Dave Helster, TE Engineering Fellow, Data and Devices
 * Mike Tryson, Director Engineering, Data and Devices
 * Jonathan Lee, Senior Engineering Manager – Global Bulk Cable, Data and
   Devices
 * Christopher Blackburn, Technologist – System Architecture, Data and Devices
 * David Herring, Technologist – System Architecture, Data and Devices



Solving Thermal Performance in Data Centers

Today's design challenge is increasing computing performance in higher-power
data racks while managing thermal performance.

Trend

Power System for Data Centers

From substations to data centers and energy storage – we are one source for
multiple connectivity and sensor needs.

Data and Devices Technology webinars

Join us in one of our many webinars! Listen to our industry experts share their
experiences and knowledge around some of the key trends and topics in data and
devices applications

Data Center Connectivity: From IEC Standards to Power Protection

Data centers require new approaches for increasing energy efficiency and
protecting power systems. Learn how TE engineers can help you optimize data
center power performance.



Call Us

Live Chat


 * ABOUT TE CONNECTIVITY
   
    * Our Company
    * Executive Team
    * Engineering Leaders
    * Events
    * TE News Center
    * Careers
    * Investors


 * FOR PARTNERS
   
    * Distributors
    * Suppliers
    * Corporate Responsibility


 * SUPPORT
   
    * Customer Service
   
    * Find Authorized Distributors
   
    * Product FAQs
   
    * Samples FAQs
   
    * TE Store FAQs
   
    * Terms and Conditions of Sale
   
    * Samples Terms and Conditions
   
    * Cookie Preferences

 * Call Us

 * Live Chat

 * Contact Us

 * CHANGE COUNTRY & LANGUAGE
   
   UNITED STATES (EN)
   
    * Select Country & Language
    * United States (EN)
    * Germany (DE)
    * China (中文)
    * Japan (日本語)
   
   Find Your Country/Region Afghanistan (EN) Albania (EN) Algeria (EN) American
   Samoa (EN) Andorra (EN) Angola (EN) Anguilla (EN) Antarctica (EN) Antigua and
   Barbuda (EN) Argentina (EN) Armenia (EN) Aruba (EN) Australia (EN) Austria
   (EN) Azerbaijan (EN) Bahamas (EN) Bahrain (EN) Bangladesh (EN) Barbados (EN)
   Belarus (EN) Belgium (EN) Belize (EN) Benin (EN) Bermuda (EN) Bhutan (EN)
   Bolivia (EN) Bonaire (EN) Bosnia and Herzegovina (EN) Botswana (EN) Bouvet
   Island (EN) Brazil (EN) British Indian Ocean Territory (EN) British Virgin
   Islands (EN) Brunei Darussalam (EN) Bulgaria (EN) Burkina Faso (EN) Burundi
   (EN) Cabo Verde (EN) Cambodia (EN) Cameroon (EN) Canada (EN) Cayman Islands
   (EN) Central African Republic (EN) Chad (EN) Chile (EN) China (中文) China Hong
   Kong (EN) China Macau (EN) China Taiwan (EN) Christmas Island (EN) Cocos
   (Keeling) Islands (EN) Colombia (EN) Comoros (EN) Congo (EN) Cook Islands
   (EN) Costa Rica (EN) Croatia (EN) Curaçao (EN) Cyprus (EN) Czech Republic
   (EN) Côte d’Ivoire (EN) Democratic Republic of the Congo (EN) Denmark (EN)
   Djibouti (EN) Dominica (EN) Dominican Republic (EN) Ecuador (EN) Egypt (EN)
   El Salvador (EN) Equatorial Guinea (EN) Eritrea (EN) Estonia (EN) Ethiopia
   (EN) Falkland Islands (EN) Faroe Islands (EN) Fiji (EN) Finland (EN) France
   (EN) French Guiana (EN) French Polynesia (EN) French Southern Territories
   (EN) Gabon (EN) Gambia (EN) Georgia (EN) Germany (DE) Ghana (EN) Gibraltar
   (EN) Greece (EN) Greenland (EN) Grenada (EN) Guadeloupe (EN) Guam (EN)
   Guatemala (EN) Guernsey (EN) Guinea (EN) Guinea-Bissau (EN) Guyana (EN) Haiti
   (EN) Heard Island and McDonald Islands (EN) Honduras (EN) Hungary (EN)
   Iceland (EN) India (EN) Indonesia (EN) Iraq (EN) Ireland (EN) Isle of Man
   (EN) Israel (EN) Italy (EN) Jamaica (EN) Japan (日本語) Jersey (EN) Jordan (EN)
   Kazakhstan (EN) Kenya (EN) Kiribati (EN) Kuwait (EN) Kyrgyzstan (EN) Laos
   (EN) Latvia (EN) Lebanon (EN) Lesotho (EN) Liberia (EN) Libya (EN)
   Liechtenstein (EN) Lithuania (EN) Luxembourg (EN) Macedonia (EN) Madagascar
   (EN) Malawi (EN) Malaysia (EN) Maldives (EN) Mali (EN) Malta (EN) Marshall
   Islands (EN) Martinique (EN) Mauritania (EN) Mauritius (EN) Mayotte (EN)
   Mexico (EN) Micronesia (EN) Moldova (EN) Monaco (EN) Mongolia (EN) Montenegro
   (EN) Montserrat (EN) Morocco (EN) Mozambique (EN) Myanmar (EN) Namibia (EN)
   Nauru (EN) Nepal (EN) Netherlands (EN) New Caledonia (EN) New Zealand (EN)
   Nicaragua (EN) Niger (EN) Nigeria (EN) Niue (EN) Norfolk Island (EN) Northern
   Mariana Islands (EN) Norway (EN) Oman (EN) Pakistan (EN) Palau (EN) Palestine
   (EN) Panama (EN) Papua New Guinea (EN) Paraguay (EN) Peru (EN) Philippines
   (EN) Pitcairn (EN) Poland (EN) Portugal (EN) Puerto Rico (EN) Qatar (EN)
   Romania (EN) Russia (EN) Rwanda (EN) Réunion (EN) Saint Barthélemy (EN) Saint
   Helena, Ascension and Tristan da Cunha (EN) Saint Kitts and Nevis (EN) Saint
   Lucia (EN) Saint Martin (EN) Saint Pierre and Miquelon (EN) Saint Vincent and
   the Grenadines (EN) Samoa (EN) San Marino (EN) Sao Tome and Principe (EN)
   Saudi Arabia (EN) Senegal (EN) Serbia (EN) Seychelles (EN) Sierra Leone (EN)
   Singapore (EN) Sint Maarten (EN) Slovakia (EN) Slovenia (EN) Solomon Islands
   (EN) Somalia (EN) South Africa (EN) South Georgia and the South Sandwich
   Islands (EN) South Korea (EN) Spain (EN) Sri Lanka (EN) Suriname (EN)
   Svalbard and Jan Mayen (EN) Swaziland (EN) Sweden (EN) Switzerland (EN)
   Tajikistan (EN) Tanzania (EN) Thailand (EN) Timor-Leste (EN) Togo (EN)
   Tokelau (EN) Tonga (EN) Trinidad and Tobago (EN) Tunisia (EN) Turkey (EN)
   Turkmenistan (EN) Turks and Caicos Islands (EN) Tuvalu (EN) U.S. Virgin
   Islands (EN) Uganda (EN) Ukraine (EN) United Arab Emirates (EN) United
   Kingdom (EN) United States (EN) United States Minor Outlying Islands (EN)
   Uruguay (EN) Uzbekistan (EN) Vanuatu (EN) Vatican City (EN) Venezuela (EN)
   Vietnam (EN) Wallis and Futuna (EN) Western Sahara (EN) Yemen (EN) Zambia
   (EN) Zimbabwe (EN) Åland Islands (EN)
    * Afghanistan (EN)
    * Albania (EN)
    * Algeria (EN)
    * American Samoa (EN)
    * Andorra (EN)
    * Angola (EN)
    * Anguilla (EN)
    * Antarctica (EN)
    * Antigua and Barbuda (EN)
    * Argentina (EN)
    * Armenia (EN)
    * Aruba (EN)
    * Australia (EN)
    * Austria (EN)
    * Azerbaijan (EN)
    * Bahamas (EN)
    * Bahrain (EN)
    * Bangladesh (EN)
    * Barbados (EN)
    * Belarus (EN)
    * Belgium (EN)
    * Belize (EN)
    * Benin (EN)
    * Bermuda (EN)
    * Bhutan (EN)
    * Bolivia (EN)
    * Bonaire (EN)
    * Bosnia and Herzegovina (EN)
    * Botswana (EN)
    * Bouvet Island (EN)
    * Brazil (EN)
    * British Indian Ocean Territory (EN)
    * British Virgin Islands (EN)
    * Brunei Darussalam (EN)
    * Bulgaria (EN)
    * Burkina Faso (EN)
    * Burundi (EN)
    * Cabo Verde (EN)
    * Cambodia (EN)
    * Cameroon (EN)
    * Canada (EN)
    * Cayman Islands (EN)
    * Central African Republic (EN)
    * Chad (EN)
    * Chile (EN)
    * China (中文)
    * China Hong Kong (EN)
    * China Macau (EN)
    * China Taiwan (EN)
    * Christmas Island (EN)
    * Cocos (Keeling) Islands (EN)
    * Colombia (EN)
    * Comoros (EN)
    * Congo (EN)
    * Cook Islands (EN)
    * Costa Rica (EN)
    * Croatia (EN)
    * Curaçao (EN)
    * Cyprus (EN)
    * Czech Republic (EN)
    * Côte d’Ivoire (EN)
    * Democratic Republic of the Congo (EN)
    * Denmark (EN)
    * Djibouti (EN)
    * Dominica (EN)
    * Dominican Republic (EN)
    * Ecuador (EN)
    * Egypt (EN)
    * El Salvador (EN)
    * Equatorial Guinea (EN)
    * Eritrea (EN)
    * Estonia (EN)
    * Ethiopia (EN)
    * Falkland Islands (EN)
    * Faroe Islands (EN)
    * Fiji (EN)
    * Finland (EN)
    * France (EN)
    * French Guiana (EN)
    * French Polynesia (EN)
    * French Southern Territories (EN)
    * Gabon (EN)
    * Gambia (EN)
    * Georgia (EN)
    * Germany (DE)
    * Ghana (EN)
    * Gibraltar (EN)
    * Greece (EN)
    * Greenland (EN)
    * Grenada (EN)
    * Guadeloupe (EN)
    * Guam (EN)
    * Guatemala (EN)
    * Guernsey (EN)
    * Guinea (EN)
    * Guinea-Bissau (EN)
    * Guyana (EN)
    * Haiti (EN)
    * Heard Island and McDonald Islands (EN)
    * Honduras (EN)
    * Hungary (EN)
    * Iceland (EN)
    * India (EN)
    * Indonesia (EN)
    * Iraq (EN)
    * Ireland (EN)
    * Isle of Man (EN)
    * Israel (EN)
    * Italy (EN)
    * Jamaica (EN)
    * Japan (日本語)
    * Jersey (EN)
    * Jordan (EN)
    * Kazakhstan (EN)
    * Kenya (EN)
    * Kiribati (EN)
    * Kuwait (EN)
    * Kyrgyzstan (EN)
    * Laos (EN)
    * Latvia (EN)
    * Lebanon (EN)
    * Lesotho (EN)
    * Liberia (EN)
    * Libya (EN)
    * Liechtenstein (EN)
    * Lithuania (EN)
    * Luxembourg (EN)
    * Macedonia (EN)
    * Madagascar (EN)
    * Malawi (EN)
    * Malaysia (EN)
    * Maldives (EN)
    * Mali (EN)
    * Malta (EN)
    * Marshall Islands (EN)
    * Martinique (EN)
    * Mauritania (EN)
    * Mauritius (EN)
    * Mayotte (EN)
    * Mexico (EN)
    * Micronesia (EN)
    * Moldova (EN)
    * Monaco (EN)
    * Mongolia (EN)
    * Montenegro (EN)
    * Montserrat (EN)
    * Morocco (EN)
    * Mozambique (EN)
    * Myanmar (EN)
    * Namibia (EN)
    * Nauru (EN)
    * Nepal (EN)
    * Netherlands (EN)
    * New Caledonia (EN)
    * New Zealand (EN)
    * Nicaragua (EN)
    * Niger (EN)
    * Nigeria (EN)
    * Niue (EN)
    * Norfolk Island (EN)
    * Northern Mariana Islands (EN)
    * Norway (EN)
    * Oman (EN)
    * Pakistan (EN)
    * Palau (EN)
    * Palestine (EN)
    * Panama (EN)
    * Papua New Guinea (EN)
    * Paraguay (EN)
    * Peru (EN)
    * Philippines (EN)
    * Pitcairn (EN)
    * Poland (EN)
    * Portugal (EN)
    * Puerto Rico (EN)
    * Qatar (EN)
    * Romania (EN)
    * Russia (EN)
    * Rwanda (EN)
    * Réunion (EN)
    * Saint Barthélemy (EN)
    * Saint Helena, Ascension and Tristan da Cunha (EN)
    * Saint Kitts and Nevis (EN)
    * Saint Lucia (EN)
    * Saint Martin (EN)
    * Saint Pierre and Miquelon (EN)
    * Saint Vincent and the Grenadines (EN)
    * Samoa (EN)
    * San Marino (EN)
    * Sao Tome and Principe (EN)
    * Saudi Arabia (EN)
    * Senegal (EN)
    * Serbia (EN)
    * Seychelles (EN)
    * Sierra Leone (EN)
    * Singapore (EN)
    * Sint Maarten (EN)
    * Slovakia (EN)
    * Slovenia (EN)
    * Solomon Islands (EN)
    * Somalia (EN)
    * South Africa (EN)
    * South Georgia and the South Sandwich Islands (EN)
    * South Korea (EN)
    * Spain (EN)
    * Sri Lanka (EN)
    * Suriname (EN)
    * Svalbard and Jan Mayen (EN)
    * Swaziland (EN)
    * Sweden (EN)
    * Switzerland (EN)
    * Tajikistan (EN)
    * Tanzania (EN)
    * Thailand (EN)
    * Timor-Leste (EN)
    * Togo (EN)
    * Tokelau (EN)
    * Tonga (EN)
    * Trinidad and Tobago (EN)
    * Tunisia (EN)
    * Turkey (EN)
    * Turkmenistan (EN)
    * Turks and Caicos Islands (EN)
    * Tuvalu (EN)
    * U.S. Virgin Islands (EN)
    * Uganda (EN)
    * Ukraine (EN)
    * United Arab Emirates (EN)
    * United Kingdom (EN)
    * United States (EN)
    * United States Minor Outlying Islands (EN)
    * Uruguay (EN)
    * Uzbekistan (EN)
    * Vanuatu (EN)
    * Vatican City (EN)
    * Venezuela (EN)
    * Vietnam (EN)
    * Wallis and Futuna (EN)
    * Western Sahara (EN)
    * Yemen (EN)
    * Zambia (EN)
    * Zimbabwe (EN)
    * Åland Islands (EN)

 * Terms of Use
 * Privacy
 * CA Privacy
 * Cookie Policy
 * Accessibility
 * Site Map

 * © 2021 TE Connectivity. All Rights Reserved.


   

 * Facebook
 * Twitter
 * LinkedIn
 * YouTube
 * Instagram


   

 * Facebook
 * Twitter
 * LinkedIn
 * YouTube
 * Instagram

© 2021 TE Connectivity. All Rights Reserved.

View this page on TE mobile site.