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large indoor cactus plants

large indoor cactus plants Large Peruvian Cactus

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Description

large indoor cactus plants Large Peruvian CactusThe Peruvian cactus is tall, striking, and truly special. With its beautiful blue green columnar stems and magical night blooming flowers, this desert beauty has been winning the hearts of plant lovers since it first made its way from South America. This stunning flowering cactus isn't hallucinogenic (a mix up we often hear about!), but it does offer something even better colorful, edible fruits that taste like a delightful blend of kiwi and dragon

The Peruvian cactus is tall, striking, and truly special. With its beautiful blue-green columnar stems and magical night-blooming flowers, this desert beauty has been winning the hearts of plant lovers since it first made its way from South America.

This stunning flowering cactus isn't hallucinogenic (a mix-up we often hear about!), but it does offer something even better - colorful, edible fruits that taste like a delightful blend of kiwi and dragon fruit. The Peruvian cactus is wonderfully forgiving if you sometimes forget to water it, making it perfect for busy plant parents. With a steady Peruvian apple cactus growth rate of 1-2 feet per year, it'll gradually grow into an impressive 8-foot indoor statement piece that brings a touch of desert magic into your home.

Care:

What lighting does a Peruvian cactus need?

Your Peruvian cactus loves sunshine! It needs at least 6 hours of direct sunlight daily to really thrive. Try placing it near a south-facing window where it can soak up plenty of bright light. This flowering cactus really comes into its own when it gets all the sunshine it craves.

What temperature do apple cactus like?

The Peruvian apple cactus is happiest in temperatures between 60°F and 85°F (16°C to 29°C). While it can handle brief cold spells down to about 25°F, try to keep its environment warm and consistent. Your plant will reward you with healthy growth and maybe even those spectacular night blooms that make it so special!

How often do you water a Peruvian cactus?

Only water your Peruvian cactus when the top 2-3 inches of soil feel completely dry if you poke your finger in a few different spots. This is much more reliable than sticking to a calendar schedule. 

During spring and summer (its growing season), your plant will be thirstier and need deeper drinks, while in winter, it'll need much less water as it takes a little rest. Like all desert plants, it's adapted to go periods without water, so it's better to underwater than overwater.

Do you need to fertilize a Peruvian apple cactus?

Yes, but just a little! Feed it during spring and summer with a balanced fertilizer (10-10-10 or 20-20-20) diluted to half-strength. In winter, let it rest completely without any fertilizer as your Peruvian apple cactus takes its natural break. Working with its natural rhythm helps keep your plant happy and healthy.

How big do Peruvian Apple Cactus get?

Outdoors, these impressive plants can grow to an amazing 20-30 feet tall! Indoors, they're a bit more modest, typically reaching up to 8 feet. Either way, your Peruvian cactus makes a wonderful statement piece that adds height and character to any space. If you're looking for a plant with presence, you've found it!

How long do Peruvian Apple Cactus live?

With good care, your Peruvian apple cactus can be your plant companion for 20-30 years on average. Some special ones have even reached 50-80 years! This makes them a wonderful long-term addition to your home, growing alongside you through the years with relatively little fuss.

How do I get my Peruvian Apple Cactus to bloom?

To coax those magical night-blooming flowers, give your plant plenty of direct sunlight, keep temperatures warm, and fertilize gently during growing season. Be patient though—your cactus needs time to mature (often several years) and needs to experience a cool, dry winter period to trigger flowering. Trust us, the wait is so worth it! The fragrant white flowers open at night and usually last just until morning—it's a rare and truly special experience.

Does Peruvian Apple Cactus have thorns?

Yes, it does have spines along its ribbed stems. These natural defenses protect the plant in the wild (and remind us to be careful when handling at home). It's best to place your Peruvian cactus where you won't accidentally bump into it, especially in homes with little ones running around.

Pet friendly?

The Peruvian Cactus isn’t toxic to your pets, but the spines can be a serious hazard if your furry friends get too close. Best to place it somewhere they can’t reach. 

Is the Peruvian cactus safe for dogs?

The Peruvian apple cactus isn't toxic to dogs, but those spines can be an issue. It's best to keep curious pups at a safe distance to avoid any ouchy encounters. Think about placing your plant on a higher shelf or in a room where your four-legged friend doesn't usually roam.

Is the Peruvian cactus poisonous to cats?

Good news for cat lovers! The Peruvian apple cactus isn't poisonous to your feline friends. But just like with dogs, those spines can hurt curious cats who might paw or nibble at them. Try to place your plant somewhere your kitty can't reach to keep both your plant and pet happy and safe.

Factoids

What makes the night-blooming cactus special?

The night-blooming Peruvian cactus puts on one of nature's most magical shows. Its large, sweet-smelling white flowers open after sunset, attracting moths and bats as pollinators in the wild. Each bloom typically lasts just one night, making each flowering a rare treat worth staying up for. It's like nature's way of rewarding night owls!

How can you encourage the Peruvian cactus to bloom?

To help your Peruvian cactus bloom, give it consistent care with plenty of sunlight and proper watering. The most important thing is to let it have a cool, dry rest period during winter. Mature plants (usually several years old) are more likely to flower, so patience really pays off with this flowering cactus. Creating the right conditions helps your plant feel safe enough to share its gorgeous blooms with you.

How long does the night-blooming cactus flower last?

These spectacular flowers are nature's shooting stars—typically blooming for just one night! They open after sunset and close by the next morning, giving us just a brief window to enjoy their beauty. If you miss seeing one bloom, don't worry—there will be more chances as your plant matures. You might want to set a phone reminder when you notice a bud forming so you don't miss the show!

What's the difference between a Peruvian cactus and a night-blooming cereus?

While both create gorgeous night-blooming flowers, the Peruvian apple cactus (Cereus repandus) grows tall and column-like, thriving in desert conditions. The night-blooming cereus (Epiphyllum oxypetalum) has flat, leaf-like stems that can trail or climb, and prefers more tropical environments. Think of them as cousins who both love the nightlife but have adapted to very different homes!

Can you eat the Peruvian apple cactus fruit or is it poisonous?

The fruit is completely safe and actually delicious! These colorful "apples" are not only edible but packed with antioxidants, vitamins, and fiber. It's a sweet, unexpected bonus from your beautiful houseplant that you can enjoy with complete peace of mind.

Can you eat cactus fruit raw?

Absolutely! The fruit is best enjoyed raw, much like you'd eat kiwi or dragon fruit. Just slice it open and scoop out the refreshing flesh—no cooking needed for this natural treat. It's like getting a little thank-you gift from your plant!

Does Peruvian Apple Cactus taste good?

The Peruvian apple cactus has a lovely mild sweetness and refreshing flavor that most people really enjoy. If you like dragon fruit or kiwi, you'll probably love this desert treat too. It's nature's way of giving us a taste of its native habitat!

What flavor is Peruvian Apple Cactus?

People often describe the flavor as a wonderful mix of kiwi and dragon fruit—mildly sweet with refreshing, subtle notes. The Peruvian apple cactus fruit offers a unique taste that connects you directly to the plant's South American heritage.

What are the benefits of Peruvian Apple Cactus fruit?

Beyond tasting great, the fruit is full of antioxidants, vitamins, and dietary fiber. It's a nutritious snack that satisfies your sweet tooth while actually being good for you! We love plants that multitask by being both beautiful and nourishing.

Is Peruvian Apple Cactus hallucinogenic?

No, the Peruvian apple cactus is definitely NOT hallucinogenic. People sometimes mix it up with the San Pedro cactus (Echinopsis pachanoi), which does contain psychoactive compounds. Your Peruvian apple cactus is prized for its beauty and fruit, not for any mind-altering effects!

What is the Peruvian apple cactus growth rate?

Your Peruvian apple cactus grows at a steady pace, typically adding 1-2 feet each year when conditions are right. This gradual growth means you can enjoy watching it develop over time, becoming more impressive with each passing season. There's something really special about nurturing a plant and seeing it mature year after year.

Where does the Peruvian apple cactus come from?

Just as its name suggests, the Peruvian apple cactus is native to the dry regions of South America, particularly Peru, Brazil, and Argentina. These plants evolved in challenging desert conditions, which explains why they're so resilient and drought-tolerant in our homes. Their ability to thrive in tough environments makes them wonderfully adaptable houseplants for us!

Buy a Peruvian cactus

Ready to welcome this towering beauty into your home? Our Peruvian apple cactus makes a stunning statement piece that will transform your space with desert elegance, potentially reward you with spectacular night blooms, and even provide delicious fruits. It's perfect for plant lovers looking for a flowering cactus with character and presence. Add this night-blooming treasure to your collection today, and we'll be here to help you care for it every step of the way!

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Kirsten
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★★★★★ 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!
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Reviewed in the United States on March 17, 2026
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Phoenix, 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.
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Reviewed in the United States on April 18, 2017
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Zygerian99
Charlottesville, 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.
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Reviewed in the United States on January 21, 2020
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Shannon
Houston, 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!!
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Reviewed in the United States on November 30, 2025
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William P Ross
Dallas, 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.
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Reviewed in the United States on March 15, 2017

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