SKU: 33725786310

Emser Bianco Gioia Nantes Natural Stone Marble Pencil Liner Tile, Polished, 1-in x 12-in

$17.07 $18.97
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Description

Emser Bianco Gioia Nantes Natural Stone Marble Pencil Liner Tile, Polished, 1-in x 12-inBianco Gioia Marble Pencil Liner Tile, 1x12 Elevate walls and trims with Emsers Bianco Gioia Nantes marble pencil liner. This polished natural stone accent delivers timeless white veining and durable, smooth edges for refined transitions in baths, showers, fireplaces, and interiors. Key Features: Luxury Marble Accent: Polished Bianco Gioia Nantes marble with unique natural veining for a one of a kind finish Durable Trim Piece: Straight edge pencil

Bianco Gioia Marble Pencil Liner Tile, 1x12

Elevate walls and trims with Emser’s Bianco Gioia Nantes marble pencil liner. This polished natural stone accent delivers timeless white veining and durable, smooth edges for refined transitions in baths, showers, fireplaces, and interiors.

Key Features:

  • Luxury Marble Accent: Polished Bianco Gioia Nantes marble with unique natural veining for a one-of-a-kind finish
  • Durable Trim Piece: Straight-edge pencil liner ideal for clean transitions on walls, showers, and fireplace surrounds
  • Indoor Use: Smooth surface, impervious water absorption, and frost resistance for reliable performance
  • Easy Installation: Designed for thinset mortar application; sold per piece for precise project planning
  • Eco Consideration: Zero VOCs for healthier indoor environments

Specifications Table:

Specification Details
Collection Name BIANCO GIOIA
Finish Polished
Manufacturer Color/Finish BIANCO GIOIA NANTES
Tile Color/Finish Family White
Type Pencil liner
Actual Length (Inches) 12.01
Actual Width (Inches) 1.02
Actual Thickness (Millimeters) 10
Square Footage Per Carton (Sq. Feet) 0.09
Square Footage Per Piece (Sq. Feet) 0.09
ADA Compliant Yes
Breaking Strength (lbs) 0-250
Chemical Resistant No
Commercial/Residential Commercial/Residential
DCOF Less than .42
Edge Type Straight edge
For Use in Bathrooms Yes
For Use in Garages Yes
For Use in Showers Yes
For Use with Fireplace Exteriors Yes
For Use with Patios No
For Use with Pools No
Frost Resistant Yes
Installation Type Thinset mortar
Material Natural stone
Package Quantity 1
Sealant Required Yes
Shade Variation V3 (moderate variation)
Sold As Piece
Stone Type Marble
Style Classic
Surface Type Smooth
Tile Shape Rectangular
Use Location Indoor
Water Absorption Impervious
PEI Rating Not rated
Warranty 1-year limited
UNSPSC 30161500
CA Residents: Prop 65 Warning(s) No

Frequently Asked Questions (FAQ):

Q: Can this pencil liner be used in showers?
A: Yes. It’s rated for bathroom and shower use and has impervious water absorption.

Q: What installation method is recommended?
A: Install with thinset mortar on a properly prepared substrate.

Q: Does the marble require sealing?
A: Yes. Seal after installation and periodically to protect against staining.

Q: Is each piece identical?
A: No. Natural stone varies in color and veining, making each piece unique.

Q: What are the exact dimensions?
A: Actual size is approximately 1.02 in (height) x 12.01 in (length) with 10 mm thickness.

A Sleek Whisper of Marble Luxury

Bianco Gioia’s polished marble pencil liner brings a refined, quiet glamour to any space, tracing edges with luminous white veining. Its slim, straight profile punctuates walls and fireplaces with tailored sophistication. Pair it with honed field tiles for tension and balance, or frame niches to create a gallery-like focal point. This understated detail is a hallmark of modern, luxurious living.

Define your space with timeless marble—add Bianco Gioia pencil liners to complete a polished, designer-grade finish.

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]
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SKU: 33725786310

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4.3 ★★★★★
Based on 14 reviews
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Product Reviews
O
Om S
Natrona Heights, US
★★★★★ 4
Title: Really Good Book for Learning LLMs
Format: Paperback, Format: Paperback
I picked up this book after struggling with LLM implementation at work. Ken Huang explains things clearly without too much technical jargon. The book covers everything from data preparation to building AI agents. I especially liked the chapters on RAG and prompting techniques - they helped me improve my current projects. The code examples actually work, which is nice. Some parts are pretty advanced, so you need basic Python knowledge. I had to read a few chapters twice to fully get it. The fairness and bias detection section was eye-opening. Good practical advice throughout. Not just theory - real solutions you can use. Worth the money if you're serious about LLM development. Recommended for anyone building AI systems professionally.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on July 25, 2025
J
Jiewen Wang
Lake Worth, US
★★★★★ 5
a comprehensive guide at the intersection of generative AI and cybersecurity
Format: Kindle
This book blends deep theoretical foundations with practical frameworks and forward-looking strategies. From adversarial risk models to actionable guidance using OWASP Top 10 for LLMs and the NIST AI RMF, it offers both technical depth and operational clarity. What makes it stand out is its balance of academic rigor and real-world CISO insights, providing a holistic perspective on securing GenAI systems. While it leans enterprise-focused, the content remains accessible to security engineers, risk managers, and policy leaders alike. Generative AI Security is a timely and essential read for anyone working to deploy GenAI responsibly—building systems with both power and integrity in today’s fast-evolving threat landscape.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on July 2, 2025
N
Nader
Louisville, US
★★★★★ 1
Light on substance and heavy on flaws
Format: Paperback
The book has a great list of topics, but fails to provide much substance any of them. Most of the provided code is just comments that avoid the actual crux of the issues being discussed. (e.g. #implement the logic to validate XYZ - while the whole point of this chapter is teach how the heck we validate XYZ!) Some parts are plain wrong, for example the part on Graph based RAG is fundamentally flawed as it assumes the text embedding and the graph embedding are in the same latent space. (This is one of many more examples). Seems like the book was rushed, and the author has limited hands on experience (if any). At least we know based on the amount of flaws that it was not written by an LLM
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on December 31, 2025
N
noam barkay
Belleville, US
★★★★★ 5
Excellent book to truly understand LLM design patterns
Format: Paperback
I just finished reviewing Ken Huang's pocket book on LLM Design Patterns, and WOW what an amazing resource! This book is excellent if you want to truly understand how to create and enhance intelligent AI language models, all that in your pocket! Ken makes the difficult things seem surprisingly easy, and that's the real MAGIC. - How to prepare your data for training by making it extremely clean. Developing the brains: the practical aspects of training, optimizing, and maintaining your models. - Learn amazing prompting techniques (such as Chain-of-Thought and Tree-of-Thoughts) to improve your AI's reasoning and problem-solving abilities. Learn everything there is to know about RAGs so that your LLM can incorporate outside expertise. - It also delves into creating "agentic" AI that is capable of action and planning (not only simple plan and execute but also enhanced techniques like ReWoo!) Really, this feels like a useful toolkit, so Ken thank you for that resource Thanks, Idan Habler
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on June 9, 2025
R
Ryan Meyer
Houston, US
★★★★★ 3
A Broad Overview, But Light on Modern Fine-Tuning
Format: Paperback
I'm currently really interested in fine-tuning LLMs and recently completed my first LoRA-based fine-tuning on a quantized model. I came to this book looking for more detail on fine-tuning. While it touches on the topic, I found the content didn’t quite align with the current state of the field in 2025. Techniques like LoRA, QLoRA, and PEFT weren’t really covered, and the material leaned more toward what I think are older or lower level approaches. That made it harder to connect with what I’m actually working on. That said, when I shifted to other chapters — like the sections on prompt engineering techniques such as Chain of Thought (CoT) and Tree of Thought (ToT) — I found more value. These sections were clearer, and I picked up a few practical insights, like using few-shot examples that walk through the CoT reasoning process. That’s not something I’ve tried before, and I can see how it might help smaller models that struggle with any type of reasoning tasks. Overall, the book feels more like a broad overview of all LLM concepts. For someone exploring many topics across the LLM ecosystem, it offers a wide-ranging introduction. But for readers like me who are actively trying to learn and apply techniques like fine-tuning and quantization, it may leave you wanting up-to-date guidance.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on August 10, 2025

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