SKU: 78579470809
succulent with pink stem

succulent with pink stem Pink Ice plant Succulent 'Oscularia deltoides'

Sale price$21.49 Regular price$23.88
Save 10%

Pay in installments of $5.97 with ShopPay, AfterPay and Klarna

Shipping Estimate
USA
  • USA
  • CAN

Ships within 48 hours · Estimated delivery Sep 3 - Sep 8

Promo Codes Available:

For Your Every Summer RSVP, with Code: SUMMER15

Description

succulent with pink stem Pink Ice plant Succulent 'Oscularia deltoides'Introducing the Pink ice plant, known as Oscularia deltoides, which is a trailing succulent with pink flowers. Native to South Africa, this low maintenance succulent makes great ground cover and spreads out, forming a colorful mat, and grows well on the rocky edge. Additionally, this pink ice plant can be grown in pots too. The name "ice plant" refers to tiny hairs on the plant's leaves and stems that reflect light in the same way that ice crystals

Introducing the Pink ice plant, known as Oscularia deltoides, which is a trailing succulent with pink flowers. Native to South Africa, this low-maintenance succulent makes great ground cover and spreads out, forming a colorful mat, and grows well on the rocky edge. Additionally, this pink ice plant can be grown in pots too.

The name "ice plant" refers to tiny hairs on the plant's leaves and stems that reflect light in the same way that ice crystals do. The foliage is fleshy and succulent-like, and it darkens as fall temperatures drop. Although ice plants are cold-sensitive, many varieties are evergreen in warm, dry climates.

Ice plants are used in sunny but sheltered desert gardens, rock gardens, slopes, ground cover, and as edging plants.

It is also known as Lampranthus Deltoides, Deltoid Leaved Dew Plant, Tooth-leaf Rock Vygie, Dassievygie, and Sandsteenvygie.

With its small, plump leaves that boast a mesmerizing blue-green hue, this ice plant is sure to turn heads and add drama to any space.

The three-sided leaves of the ice plant are fat and trailing.  The color becomes more intense as the pink ice plant ages and is exposed to more sunlight. It can grow up to 1 foot tall and 2 feet wide.

The ice plant flowers bloom during the late spring to summer, with bright pinkish-purple and dazzling magenta-pink flowers. They bloom from every nook and cranny until they completely surround and cover the whole plant. This stunning ground covered with pink flowers is closed up in the morning but open, often to cover the plant, in the afternoon. 

The true beauty of this trailing plant is that it can withstand high temperatures and extreme environmental conditions without showing signs of stress. It attracts butterflies.

Leaf cuttings and stem cuttings are the easiest way to propagate these ice plant ground cover. 

When and How to Water Your Ice Plant 

The ice plant is a succulent that prefers well-draining soil and requires watering only when the soil is dry to the touch. Overwatering can cause root rot and other issues that can damage these pink plants. They can be watered year-round and water regularly from spring to Autumn but reduce the watering frequency in winter; the growth period is early Spring to late Summer. 

When watering the pink ice plant, it is important to avoid standing water and to ensure that the soil is able to dry out between watering sessions. The pink ice plant is well-suited to dry climates and can tolerate periods of drought, but it does require a lot of water to thrive. 

Remember, watering should be done at the base of the succulent ice plant rather than from above to avoid getting water on the leaves, which can cause damage or rot. With proper watering and care, the pink ice plant can thrive and produce colorful blooms that are sure to brighten up any garden. 

Light Requirements - Where to Put Ice Plant

Like many other succulents, the ice plant is sun-loving and also requires direct, bright light to thrive.  When grown indoors, place it in the sunniest place in your house. It is ideal to grow this pink flower ground cover in a west- or south-facing window, when it can get 4-6 hours of bright sunlight. 

For outdoor cultivation, these oscularia deltoides require full sun to partial shade for at least 6-8 hours of strong light each day. Although light shade in the afternoon is often preferable - especially in hotter climates where the plant might become stressed by the intense heat of the afternoon sun. It's crucial to place your pink plants away from any areas with constant direct sunlight, as doing so could result in burned foliage. 

Remember, when planting the pink ice plant, it is important to choose a location that receives full sun throughout the day to maintain its colors. It is well-suited to hot and dry climates and can tolerate high temperatures and intense sunlight. 

This pink ice is able to tolerate some shade, but it may not produce as many blooms in areas with less sunlight or in too much shade. With proper light and care, the pink ice plant can thrive and produce beautiful blooms that are sure to add color and interest to any garden or landscape. 

Optimal Soil & Fertilizer Needs 

The ice plant favors very airy, sandy soil that drains well. Planting them in ordinary soil will result in compacted roots, stunted growth, and, most likely, root rot. Instead, make or buy a well-draining potting mix, or ideally, use our specialized potting mix that contains 5 natural substrates and mycorrhizae to promote the development of a strong root system that helps your succulent to thrive. 

When it comes to fertilizer, the pink ice plant does not require a lot of additional nutrients. In fact, too much fertilizer can cause the plant to produce excessive foliage at the expense of blooms. A slow-release natural fertilizer with an equal mix of NPK (5-10-5) can be applied once a year in the spring to help provide the plant with the nutrients it needs to thrive. Care should be taken to avoid over-fertilizing the succulent plant, as this can lead to issues with growth and blooming. 

With proper soil and fertilizer, the ice flower plant can thrive and produce beautiful blooms that are sure to add color and interest to any garden or landscape. 

Hardiness Zones & More 

When growing indoors, it should be kept between 65-75 degrees Fahrenheit to ensure optimal growth. The requirements are fairly flexible, as it can tolerate a wide range of temperatures. However, it is best to keep it in a warm environment with plenty of sunlight to encourage healthy growth.

For outdoor cultivation, this hardy ice plant is suitable outdoors in USDA zones 8-11, making oscularia deltoidesa a versatile plant that can be grown in a variety of climates. However, it is important to ensure that the succulent plants receive enough water to prevent issues with dehydration. 

The ice plant is able to tolerate mild frost, but it may struggle in areas with prolonged periods of frost or freezing temperatures. The best way to grow these pink ground covers is in containers, especially for those who live in regions with harsh winters.  

When it's cold outside, or there is a chance of snow or frost, you can then bring them inside. There are ways to keep your pink ice plant succulent safe from the cold if you are unable to bring it inside.To help them endure the harsh winter, you can use frost cloths or tiny greenhouses. 

Final Thoughts

Overall, the Pink Ice plant Succulent (Oscularia deltoides) is a beautiful and low-maintenance plant that adds a pop of color to any garden or indoor space. With its unique triangular-shaped leaves and ability to thrive in dry conditions, it is an excellent choice for beginner gardeners or those looking to add a touch of vibrancy to their collection. Remember to provide well-draining soil, ample sunlight, and occasional watering to keep this succulent happy and healthy.

Be sure to add Oscularia deltoides - Pink ice plant, to your collection today and elevate the beauty of your home or garden with this stunning-looking plant.

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: 78579470809

Discover Niche Categories That Outsell succulent with pink stem

Top-Converting Item to Boost Your Average Order

4.7 ★★★★★
Based on 25 reviews
Sort
Highest Rating
Newest First
Oldest First
Product Reviews
K
Kirsten
West Palm Beach, US
★★★★★ 5
Holds a decent amount of jewelry!
Color: Carbonized Brown, Color: Carbonized Brown
I was quite impressed with this little jewelry box. Although it is on the smaller side, it utilizes every bit of the storage space available really well. I’d ultimately love to get a bigger armoire- as it is, this jewelry box contains what I wear most often, but I have a larger collection than this particular jewelry box can hold- my plan is to find a larger jewelry armoire that resembles what my mother had because I loved that one and then passed this one down to my daughter who loves it. For its size, it does absolutely hold a lot. I definitely underestimated how much it would hold. I love that there are drawers and well. I would love to see the ring area hinged so that I don’t have to reposition it when I’m done grabbing my rings, I think it’s a really cool, unique way to approach that particular area. I love that every little bit at this jewelry box is designed to have utility. I hate wasting space and time and I love good organization so it’s been really nice being able to pack as much as I can in there. The top opens up to space for earrings and other miscellaneous items. There are both open and more structured components. And the space for bracelets rotates, which is really nice- I didn’t realize that it rotated and I was a little bit worried that I was gonna constantly knock things down while I was reaching through or something. There is lots of room inside both doors for necklaces, and it fits a lot more than I thought it would. The wood stain is a really pretty kind of ashy natural stain- the sort of grey tint is really nice and it’s gorgeous. I’m not a huge fan of mirrors as far as the front goes, but I do have an artist in house who is really good at coming up with stuff for this, just a little ways to put art in your every day, so I’ll probably have her paint over. The jewelry box also doesn’t take much space up at all. While I am looking for something with a little bit larger footprint, I don’t necessarily want to waste a bunch of real estate in the meantime so I’m really pleased with how compact it is. This is a great little jewelry box - as I mentioned it doesn’t house all of my jewelry, but that’s because my collection is mostly heirloom and I don’t want to take it out from where it is right now. If it were larger, I would probably do so but for now it just houses my everyday items and a little bit extra. I think it’s great and I’m super happy with it!
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on March 17, 2026
X
Verified Purchase
0x00000000:00000000
Bozeman, US
★★★★★ 5
Excellent book, possibly currently unique in coverage of latest ideas
This book is possibly currently unique in its coverage of the latest ideas in the field of deep learning -- and it is a very convenient and good survey of fundamental concepts (linear algebra, optimization, performance metrics, activation function types), different network types (multi-layer perceptron, convolutional neural networks, and recurrent neural networks), practical considerations (data set, training and validation, implementation), and applications (comments on existing real-world/commercial uses). The final 235 pages of the content portion of the book is dedicated to topics in "Deep Learning Research", and these topics are truly at the current frontier. Another reviewer said that one could gain the same knowledge of cutting-edge research by reading all of the latest papers (from academia and industry), but the "research" section of this book offers the following: Selection of the most notable research by the very experienced authors of the book, and collection of similar research in to a broader discussion of themes, and the additional insights. The book covers very advanced and new ideas currently being explored, and it is very nice to be able to have a consistent and coherent presentation of all of those ideas. However, the book is also packed with valuable observations and pointers about more basic aspects of deep learning implementations and practices -- and such commentary is in depth and includes substantial analysis and mathematical derivation (in an intuitive presentation that often includes graphs illustrating the phenomenon). As someone with an intermediate level of knowledge and experience of neural networks, I am really grateful for this book, because seems like the ideal resource for learning cutting-edge ideas and practices, with context. The book has excellent scope and depth, and I am confident that anyone with a solid background in linear algebra, calculus, statistics, and general machine learning, and basic neural networks (multi-layer perceptrons) will find this book to be very exciting and perhaps unique in its ability to take the reader to the next level and a new frontier. I was personally excited to learn about the idea of representing the dependencies of intermediate quantities by directed graphs, and how this can be used to perform calculations for recurrent neural networks efficiently. And I think the long chapter on recurrent neural networks is very helpful. Having said all of this, I think only people with significant working knowledge and experience with neural networks and mathematics -- people whose academic or professional focus has been neural networks for at least a year or two -- would benefit from this book. This book answers a lot of the deeper questions that one is likely to have while developing a solid understanding of the fundamentals, and that's one of the book's tremendous values, but this book assumes an understanding of the fundamentals (but does briskly cover the basics). I think this book is a perfect follow-up book for the excellent book "Neural Network Design (2nd edition)" by Hagan, Demuth, Beale, and de Jesus, and I highly recommend the latter for gaining the solid background needed to have a thrilling experience with the "Deep Learning" book. In summary, I am very glad this "Deep Learning" book was written, and I think the "Deep Learning" book will be a great benefit to a lot of people, and to the evolution of the field.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on April 18, 2017
Z
Verified Purchase
Zygerian99
Lowell, US
★★★★★ 5
The definitive guide to becoming a researcher in the field
Format: Hardcover
This is not a coding book. I see a lot of negative reviews around the expectation that this book would teach the reader how to quickly build machine learning systems and write code. This book is not for that audience. If you just want to build applications, don't worry about how deep learning works. It's akin to needing to understand how an engine works just to drive a car. If you are looking for a coding resource, try: https://www.amazon.com/Hands-Machine-Learning-Scikit-Learn-TensorFlow/dp/1492032646/ref=sr_1_4?keywords=machine+learning+tensorflow&qid=1579608765&sr=8-4 . And even with that book, the material still goes far beyond what you need - use it as a light reference. I bought this book as an aspiring machine learning researcher, and towards that end, it is the best resource available in print (still true as of 2020). For instance: The first 5 chapters are timeless. These are things that were mostly established 20 or 30 years ago and beyond and are mostly STEM fundamentals at this point. There are whole textbooks dedicated to each of those chapters, but the authors provide a quick refresher and overview of probably 80% of what you'll encounter in deep learning. If you haven't previously learned each of these subtopics, you'll probably want to study them individually since they are the key to innovating (linear algebra, probability & stats, numerical computation, machine learning fundamentals). Chapters 6 thru 9 are the foundation of deep learning. We're about 12 years into seeing rapid change in the deep learning space, yet all of these principles and techniques still hold (many recent innovations are still relying on Convolutional models in 2020, which is the most layered/complex topics in those chapters). Therefore, I'd wager that these chapters are also fairly stable knowledge that is worth internalizing if you want to be deeply involved in the future of machine learning. Chapters after 9 are mostly experimental topics, and many of them are already the wrong strategies for optimal results. But there are interesting ideas in here that you'll often encounter in the wild, so it's good exposure to various topics. But probably not worth much of your time. And lastly, there is good history in here from people who know the space intimately. It's a good way to piece together the developments and learn the lexicon of deep learning so you can have intelligent conversation with experts.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on January 21, 2020
S
Verified Purchase
Shannon
Lowell, US
★★★★★ 5
The best DL/ML book I have ever seen!!
Format: Hardcover
Fantastic deep-learning book! The logic is very easy to follow, but the content is very thorough when it comes to explaining the theories behind it, making it perfect for beginners as well as math and CS students. The best DL/ML book I have ever seen!!
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on November 30, 2025
W
Verified Purchase
William P Ross
Houston, US
★★★★★ 5
Comprehensive Look At An Incredibly Complex Topic
Format: Hardcover
Deep Learning is an advanced book with great explanations and details. There is a heavy math focus with the book's beginning chapters detailing the necessary linear algebra and probability that one will need to understand deep learning. I liked that the author's chose to cover only the parts of these subjects which are relevant to deep learning. There are many interesting philosophical sections in the book as well. Just about when I was feeling overwhelmed with the complexity of the mathematics the authors take a step back and cover the foundations of deep learning such as borrowing concepts from human learning. There was an interesting dicussion about the early studies done on the vision of cat's and monkey's in the 1970s. The text covers the entire history of deep learning and the bibliography is hundreds of sources. It is clear this is the most comprehensive text available about deep learning. For anybody interested in this topic this book is a mandatory read. There are sections about machine learning as well, which makes sense because deep learning is a subset of machine learning. These sections focused on the machine learning concepts which are most relevant to deep learning. The book was well organized and divided into three parts which cover mathematics related to deep learning, typical deep learning techniques, and then more experiment learning techniques. Often the author's state when a technique works well or when it does not, and which types of data works best for the technique. Just a warning, the math in this book is highly complex. It requires a lot of work to go through this book, but the effort will be well rewarded.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on March 15, 2017

recommand products