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Description
Culinaire Drop In Counter Line Bain Marie with Flat Glass Gantry - Stainless Steel Fixings CH.BMC.D.GSF.4Culinaire Drop In Counter Line Bain Marie with Flat Glass Gantry Stainless Steel Fixings CH. BMC. D. GSF. 4 The Culinaire Drop In Counter Line Bain Marie is designed to hold pre heated food at the optimum temperature in Gastronorm pans up to 150mm deep (sold separately). Wet or dry operation (temperature varies greatly when run dry, should not be left unattended for long periods of time). The Bain Marie comes ready for connection to hot water and
Culinaire Drop In Counter Line Bain Marie with Flat Glass Gantry - Stainless Steel Fixings CH.BMC.D.GSF.4
The Culinaire® Drop-In Counter Line Bain Marie is designed to hold pre-heated food at the optimum temperature in Gastronorm pans up to 150mm deep (sold separately).
Wet or dry operation (temperature varies greatly when run dry, should not be left unattended for long periods of time).
The Bain Marie comes ready for connection to hot water and waste with all valves supplied and fitted. The visual aspect of the unit is enhanced by the use of 10mm toughened glass on the gantry. Options: Radius well. Contact your Stoddart representative.
FEATURES & BENEFITS:
- This display is designed to be installed into a cut-out in a new or existing bench top which allows for simple installation
- Pans are recessed to minimize water condensation on surrounding bench top
- Double skinned air insulated on all sides to minimize heat to external panels
- Robust construction from 304 grade stainless steel with a No.4 finish
- Adjustable digital temperature controller allows food to be held between +65°C to +90°C (food must be heated above 65°C before being placed in bain marie)
- Wet or dry operation (temperature varies greatly when run dry, should not be left unattended for long periods of time)
- Fitted with 10mm thick toughened glass gantry with overhead Quartz IR heat lamps to provide heat and illumination to the product below
- Individual On/Off switches to operate bain marie and overhead gantry heat lamps
- Overhead heat lamps are fully adjustable via a solid-state voltage controller for accurate temperature selection
- Water inlet at opposite end to drain for ease of cleaning
- Ready for connection to hot water inlet and waste, valves supplied loose for onsite connection to services
- Suits gastronorm pans up to 150mm deep (sold separately).
PRODUCT CODE
|
CH |
Culinaire Heated |
| BMC | Bain Marie - Counter Line |
| D | Drop-In |
| GSF | Flat Glass Gantry - Stainless Steel Fixings |
| 4 | 4 Modules |
OPTIONAL EXTRAS:
|
Radius Well |
|
| Add R to code after the .U (If required, must be nominated at time of order) | CH.BMC.UR.GSF.6 |
TECHNICAL DATA:
| Dimensions | W x D x H: 1537 x 825 x 661 |
| Cutout Dimensions | 1520 x 805 |
| Total Connected Load | 3.9kW |
| Electrical Connection | 240V 1Ø + N + E |
| Water Connection | 15mm |
| Waste Connection | 50mm |
Shipping Notes
- Free Standard Shipping on $100+ Orders to the USA.
- Except Preorder products are shipped in 48 hours.
- Delivery to the USA:
- 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
4.5 ★★★★★
Based on 14 reviews
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Product Reviews
★★★★★ 5
Great Resource when Integrating AI
Format: Kindle
This is a great resource when building systems that integrate with AI. It manages to cover the entire lifecycle and even tips for corporate environments!
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on August 26, 2025
★★★★★ 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
★★★★★ 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.
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Reviewed in the United States on July 2, 2025
★★★★★ 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
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Reviewed in the United States on December 31, 2025
★★★★★ 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
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Reviewed in the United States on June 9, 2025