scrivania da ufficio 120x60x75 cm in legno e metallo marrone rustico 210426
SKU: 74474889656

scrivania da ufficio 120x60x75 cm in legno e metallo marrone rustico 210426

$167.31 $185.90
Save 10%
No.2 Bestseller on communitymontessori.net >

Shipping Estimate
USA
  • USA
  • CAN

Ships within 48 hours · Estimated delivery Jul 6 - Jul 11

Promo Codes Available:

For Your Every Summer RSVP, with Code: SUMMER15

Description

scrivania da ufficio 120x60x75 cm in legno e metallo marrone rustico 210426Schreibtisch Schreibtisch 120 x 60 x 75 cm aus Holz und rustikalem braunem Metall Mit dem Schreibtisch im Industriestil haben Sie viel Platz zum Arbeiten, ohne zu viel Platz in Ihren Rumen einzunehmen. Dieser PC Schreibtisch bietet eine praktische Seitenablage fr die Computer CPU und eine groe Arbeitsflche. Der Metallrahmen und die Spanplatten sorgen fr Stabilitt und die verstellbaren Fe ermglichen es Ihnen, auf jedem Untergrund die richtige Stabilitt

Schreibtisch

Schreibtisch 120 x 60 x 75 cm aus Holz und rustikalem braunem Metall

Mit dem Schreibtisch im Industriestil haben Sie viel Platz zum Arbeiten, ohne zu viel Platz in Ihren Räumen einzunehmen. Dieser PC-Schreibtisch bietet eine praktische Seitenablage für die Computer-CPU und eine große Arbeitsfläche. Der Metallrahmen und die Spanplatten sorgen für Stabilität und die verstellbaren Füße ermöglichen es Ihnen, auf jedem Untergrund die richtige Stabilität zu finden.

  • PLATZSPARENDER SCHREIBTISCH: Mit seiner kompakten Größe bietet Ihnen dieser Schlaf- und Büroschreibtisch eine große Arbeitsfläche, ohne zu viel Platz in Anspruch zu nehmen.
  • GERÄUMIG MIT ABLAGE: Das Fach auf der rechten Seite des PC-Schreibtisches ermöglicht es Ihnen, Ihre Computer-CPU bequem zu platzieren, während die Ablage unter der Arbeitsplatte perfekt für die Aufbewahrung kleiner Gegenstände ist.
  • SOLIDE KONSTRUKTION: Der verstärkte Metallrahmen und die Spanplatten der Klasse E1 sorgen für die Stabilität und lange Lebensdauer dieses modernen Schreibtisches. Die verstellbaren Füße ermöglichen es Ihnen, es auch auf unebenen Oberflächen immer stabil zu halten.
  • IDEAL FÜR UNTERSCHIEDLICHE UMGEBUNGEN: Durch das elegante Design im Industriestil lässt sich der Schreibtisch mit Regalen in jeden Raum integrieren und mit verschiedenen Einrichtungsstilen kombinieren.
  • ABMESSUNGEN: Gesamtabmessungen: 120L x 60D x 75Hcm. Gewichtskapazität: 50 kg (insgesamt), 30 kg (Arbeitsplatte), 5 kg (Regal), 10 kg (CPU-Regal).

Technische Spezifikationen

  • Kompaktes Design, um es in jedem Raum zu platzieren
  • Eleganter Industriestil, perfekt für verschiedene Umgebungen
  • Seitenregal für CPU und kleines Regal zur Aufbewahrung von Alltagsgegenständen
  • Verstellbare Füße für mehr Stabilität
  • Spanplatte der Klasse E1 und Metallrahmen
  • Wasser- und kratzfeste Arbeitsplatte, leicht zu reinigen
  • Montage erforderlich, Hardware im Lieferumfang enthalten

Technische Eigenschaften

  • Farbe: Schwarz, Rustikales Braun mit Holzmaserung
  • Material: Metall, Spanplatte
  • Gesamtabmessungen: 120 L x 60 T x 75 H cm
  • Arbeitsplattengröße: 120L x 60Pcm
  • Abmessungen des kleinen Regals: 89 L x 20 T x 15 H cm
  • Abmessungen des CPU-Regals: 24 L x 59 T x 65 H cm
  • Gewichtskapazität: 50 kg (insgesamt), 30 kg (Arbeitsplatte), 5 kg (Regal), 10 kg (CPU-Regal)
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: 74474889656

Discover Niche Categories That Outsell

Top-Converting Item to Boost Your Average Order

4.2 ★★★★★
Based on 1262 reviews
Sort
Highest Rating
Newest First
Oldest First
Product Reviews
O
Om S
New York, 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
Cuba, 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
Whiting, 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
Dallas, 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
Lexington, 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

recommand products

Haarserum
28.00
Jaeger leCoultre Reverso Shadow, Ref: 251.8.86
2195.00
Audemars Piguet Royal Oak Vintage, Ref.: 14790ST Long Stick MK1
15975.00
Rolex Daytona White Panna Cream Dial, Thin Hands, Ref.: 116520
11645.00
IWC kleine Portugieser 18kt Roségold Cal. 891/2, weißes Zifferblatt, Ref.: IW3531
3395.00