SKU: 34793139276

Nantucket Sinks Island 33" Fireclay Farmhouse Sink, White, ISFCW33x18SO

Sale price$421.88 Regular price$468.75
Save 10%

Pay in installments of $117.19 with ShopPay, AfterPay and Klarna

Shipping Estimate
USA
  • USA
  • CAN

Ships within 48 hours · Estimated delivery Aug 12 - Aug 17

Promo Codes Available:

For Your Every Summer RSVP, with Code: SUMMER15

Description

Nantucket Sinks Island 33" Fireclay Farmhouse Sink, White, ISFCW33x18SONantucket Sinks Island 33" Fireclay Farmhouse Sink, White, ISFCW33x18SO Stunning white glossy glaze finish on our Island Collection 33 inch fireclay farmsink! The sink is reversible glazed on all sides so you can choose to feature the fluted or plain apron front. A nice deep basin to hold your dishware, it combines ease of use and durability. Fired at ultra high temperatures, the glaze fuses to the clay and resists stains and can handle high heat. All

Nantucket Sinks Island 33" Fireclay Farmhouse Sink, White, ISFCW33x18SO

Stunning white glossy glaze finish on our Island Collection 33 inch fireclay farmsink! The sink is reversible glazed on all sides so you can choose to feature the fluted or plain apron front. A nice deep basin to hold your dishware, it combines ease-of-use and durability. Fired at ultra high temperatures, the glaze fuses to the clay and resists stains and can handle high heat. All dimensions for fireclay sinks are nominal due to shrinking during firing process. For this reason we recommend waiting to receive your actual sink before purchasing a cabinet or making cuts to countertops. Dimensions will vary by up to .25 inches.

It's not everyday that you go to an Island! Once you've gotten there, you'd best have everything you need. With that in mind, we present our Island Collection by Nantucket. A limited edition of key pieces for your kitchen and bath fixtures. We've got you covered!

Please see our color disclaimer.

Features


  • Exterior Dimensions: 33" x 18" x 10"
  • Scratch, chip and stain resistant glaze
  • Made in Italy
  • Reversible sink - plain or fluted apron
  • Fired for 20 hours at over 2000 degrees
  • Nominal dimensions only as firing causes shrinking - each piece will vary.
  • Extended ferrule may be required to accommodate basin thickness
  • Drain: 3.5" extended ferrule

For Farmhouse Sinks the recommended base cabinet size is 3" more than the width of the sink.

Due to the fireclay process, dimensions may vary. Please use the actual sink that you will be installing in order to determine the cutout dimensions for your countertop and cabinetry.

Details


Bowl Split: Single
Box Height: 18"
Box Length: 39"
Box Weight: 94 lb(s)
Box Width: 26"
Collection: Island Collection
Color: White
Country of Origin: Italy
Drain Placement: Center
Drain Size: 3.5"
Finish: Glazed
Inner Depth: 9"
Inside Bowl Dimensions: 30" x 15.25"
Installation Type: Undermount
Item Height: 10"
Item Length (Front to Back): 18"
Item Weight: 88.00 lb(s)
Item Width (Side to Side): 33"
Material: Fireclay
Minimum Cabinet Size: 38"
Number of Bowls: 1
Number of Faucet Holes: 0
Overall Dimensions: 33"x 18"
Required Assembly: Professional installation recommended
Room: Kitchen
SKU: ISFCW33x18SO
Shape: Rectangle
Ship Method: UPS

Warranty


Nantucket Sinks Warranty Details (PDF)

Installation Instructions


Installation Instructions (PDF)
Product Specifications (PDF)

Product Care


Nantucket Sinks Product Care (PDF)

Shipping Notes
  • Free Standard Shipping on $100+ Orders to the USA.
  • Except Preorder products are shipped in 48 hours.
  • Delivery to the USA:
  1. Standard Shipping : 3-10 business days
  • If time is of the essence, please consider selecting expedited delivery for faster service.
Exchange/Return Notes
  • We offer a 30-day return/exchange service after receiving.
  • Final sale items are not eligible for returns or exchanges.
  • To process your return/exchange, please contact us at [email protected]
  • Please click here for more details>>> Return & Exchange Policy
SKU: 34793139276

Discover Niche Categories That Outsell

Top-Converting Item to Boost Your Average Order

4.1 ★★★★★
Based on 25 reviews
Sort
Highest Rating
Newest First
Oldest First
Product Reviews
A
Verified Purchase
Amazon Customer
Lowell, US
★★★★★ 4
Just learning it
Format: Paperback
Nice learning book just have to finish it
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on December 10, 2025
K
Verified Purchase
Kindle Customer
West Palm Beach, US
★★★★★ 5
Very useful book
Format: Paperback
I use it for the machine learning class I teach.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on May 3, 2026
T
Verified Purchase
Tommy Jonsson
Fort Morgan, US
★★★★★ 5
Cover many areas in detail and recommendations for more to read for what's outside
Format: Paperback
Good book!
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on May 4, 2026
M
Verified Purchase
Moses Kayanda
Cuba, US
★★★★★ 5
One of the best machine learning books...
Format: Paperback, Format: Paperback
Machine Learning can often be intimidating whether you are starting out or already a practitioner. It is easy to get stuck on one concept, walk away frustrated, or just copy that code you find on StackOverflow without really understanding what it does. What the authors of this book, Machine Learning with PyTorch and Scikit-Learn, have managed to do is to keep the reader engaged giving a deeper illustration as to how the concepts work. In this book, you get practical code examples, a detailed explanation of how the various library tools work, and exposure to the mathematical concepts behind machine learning algorithms. In addition, what I like about the book unlike many machine learning books is that the authors have managed to intuitively explain how each algorithm works, how to use them, and the mistake you need to avoid. I have not read a Machine Learning book that better explains Transformers as this one does. The authors have managed to give a detailed dive into this model architecture through well-explained codes and illustrations. As a reader, you walk away having intuitively grasped the concepts of attention and self-attention in ways that will make this crucial NLP architecture clear. You get exposed to pre-trained models from HuggingFace library which really helps to have that hands-on experience working with large datasets. As they have done throughout the book, the authors have broken down those complex mathematical operations into simple explanations that are easy to follow. What I generally like about the book is how it seamlessly connects all the chapters, not throwing off the reader. There are numerous external resources quoted throughout the book. This helps spark that curiosity to dig deeper. In addition, you get introduced to PyTorch, getting exposed to all those sophisticated libraries that help the reader learn how to maximize their compute power. I would say it is not intimidating at all even if you have not used PyTorch before. I would recommend this book to anybody seeking a textbook that is both easy to read and modern in its content. If were to rate the book I will give it a 10/10 as it really applies to both beginners and experienced practitioners, covers all the concepts one needs to apply in their operations, and acts as a quick reference.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on March 1, 2022
G
Verified Purchase
Gabe Rigall
Massapequa, US
★★★★★ 5
Thorough Primer for Machine Learning and PyTorch
Format: Paperback
BLUF: A thorough primer for machine learning enthusiasts with plenty of theory to underscore its many practical examples. A definite must-have for anyone looking to add PyTorch to their machine learning tool belt. PROS: - Extremely thorough (if not comprehensive). I really appreciate that this book doesn't just thrust one into building models with PyTorch. It starts at the "beginning" and provides examples, theory, additional resources, and citations along the way. - Theory. Those whose calculus and linear algebra courses ended many years ago will appreciate (if not remember exactly) the mathematical theory and notation that accompanies almost every paragraph. This book gives one the opportunity to "dig deeper" or stay in the shallows until the notation stops. - Python. Rather than simply utilizing Scikit-Learn to illustrate concepts and introduce models, this book contains many sections where models (such as a Perceptron) are coded from the ground up so the reader can fully understand the underlying mechanics. Python enthusiasts will nerd out. Parents of small children might want to skip a few pages. - Graphs, charts, and graphics. There are plenty of places where a drier text might have foregone the use of graphs. This text does not. It does however refrain from overusing them. - PyTorch. This should be obvious from the title, but this text prioritizes PyTorch instead of TensorFlow. This is especially helpful for those looking for an alternative to Keras and TensorFlow as the PyTorch API is very user-friendly. CONS: - Almost too much code. This isn't a true "con" but anyone wanting to emulate or follow along with the examples would do well to get the digital edition so they can copy and paste. - Length and complexity. Anyone hoping for a "quick read" or a "quick start guide" will be disappointed. This book hovers somewhere between an undergraduate primer and a graduate-level text for length and readability. This is not to say that it's difficult to read, merely that there are other "quick start" / "practical" texts out there that cater more to a lay audience.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on February 26, 2022

recommand products