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Description
OWC Thunderblade 16TB Thunderbolt3 2.5" External SSDIn the world of high performance storage, the OWC ThunderBlade 16TB SSD stands out as a dependable, fast, and portable solution built specifically for creative professionals and content creators who need uncompromising speed and reliability. This external SSD is designed to handle the toughest workloads, from rapid media offloading on set to smooth editing of 8K RAW footage, without breaking a sweat. With read speeds up to 2949 MB s and write speeds
In the world of high-performance storage, the OWC ThunderBlade 16TB SSD stands out as a dependable, fast, and portable solution built specifically for creative professionals and content creators who need uncompromising speed and reliability. This external SSD is designed to handle the toughest workloads, from rapid media offloading on set to smooth editing of 8K RAW footage, without breaking a sweat.
With read speeds up to 2949 MB/s and write speeds reaching 2464 MB/s in RAID 5, the ThunderBlade delivers real-world performance that matches the demands of video editors, DITs, and production teams. Its four NVMe M.2 drives can be configured using the included SoftRAID software, allowing for RAID setups that balance capacity and data protection seamlessly. This makes it an excellent choice for workflows that cannot afford to lose data or slow down.
The device’s fanless aluminium body ensures quiet operation while efficiently managing heat, critical for long editing sessions or fast-paced production environments. Its compact size, paired with a ballistic hard-shell travel case, means it’s built for mobility. perfect for those who need to shuttle between locations without compromising performance.
Thunderbolt 3 connectivity supports daisy chaining and can drive 5K or 4K displays, adding flexibility to any creative workstation setup. Backed by a three-year warranty and professional SoftRAID support, the OWC ThunderBlade 16TB SSD offers peace of mind alongside top-tier performance. For anyone serious about their craft, this is storage that won’t hold you back.
FEATURES
- Ultra-fast read speeds up to 2949 MB/s for seamless 8K RAW and high-res video editing
- Supports up to 32TB capacity with a scalable NVMe M.2 SSD configuration
- SoftRAID software included for RAID 0, 1, 4, 5, 10 support and predictive health monitoring
- Fanless aluminium chassis ensures silent operation and effective passive heat dissipation
- Compact and portable design with ballistic hard-shell travel case for on-the-go professionals
- Thunderbolt 3 interface delivers up to 40 Gb/s bandwidth with daisy chaining for up to 5 devices
- Supports 5K and 4K display output, enhancing workstation flexibility
- Hot-plug and boot support compatible with Mac boot volumes
- Robust build with optional cable stabiliser for secure connections in mobile environments
- Backed by a 3-year OWC warranty and premium SoftRAID support for reliability and peace of mind
SPECIFICATIONS
- Drive Bays_ 4 bays
- Total Capacity_ 2.0TB
- Drive Mechanism_ (4) 500GB OWC Aura Ultra IV PCIe 4.0 NVMe M.2 SSD
- Plug and Play_ Yes
- Hot Plug Support_ Yes
- Boot Support_ Mac Only_ Boot volume must be independent from RAID volume.
- Drive Format_ Formatted as 4-disk RAID 0 for Mac. To convert for PC, use SoftRAID for Windows
- Storage Interface_ M.2 NVMe (PCIe 3.0)
- RAID Capable_ Yes
- Default RAID Level_ RAID 0
- RAID Levels Supported_
- RAID 0
- RAID 1
- RAID 4
- RAID 5
- RAID 10
- RAID Features_ Software RAID
- Device Ports_
- (1) Host Port - Thunderbolt 3 (Type-C) up to 40Gb/s (5000MB/s)
- (1) Thunderbolt 3 (Type-C) Port
- UASP Support_ UASP (USB Attached SCSI Protocol) is supported
- Display Support_ Up to 5K display @ 60Hz, 4K display @ 60Hz, or 4K display @ 30Hz
- Display Support by Port_ Thunderbolt 3_ Up to 5K @ 60Hz via a native Thunderbolt 3 display or 4K @ 60Hz via a Thunderbolt display or a Type-C display adapter
- Data Transfer Rate (Maximum): Thunderbolt 3_ Up to 40Gb/s (or 5000MB/s)
- Benchmark Speed, Read (Max): Up to 2719MB/s
- Benchmark Speed, Write (Max): Up to 2537MB/s
- Chipset / Controller_ Thunderbolt 3_ (1) Intel DSL6540
- Host Interface Requirements_ Thunderbolt (Type-C) port (backwards compatible with Thunderbolt 2/Thunderbolt1)
- Mac OS Compatibility_
- macOS 10.13 High Sierra
- macOS 10.14 Mojave
- macOS 10.15 Catalina
- macOS 11.x Big Sur
- macOS 12.x Monterey
- macOS 13.x Ventura
- macOS 14.x Sonoma
- macOS 15.x Sequoia
- PC OS Compatibility
- Windows 10 64-bit Edition
- Windows Server 2022
- Windows 11
- Driver Required_ SoftRAID Only
- Supports OWC ClingOn_ Yes
- External Power Adapter_ Yes
- Power Supply_
- External UL-listed universal auto-switching power supply
- AC Input_ 100-240V, 50-60Hz, 2.0A
- DC Output_ +15V, 4.8A
- Wattage: 72W
- Security Slot_ No
- Power/Activity LED_ Yes
- Housing Colour_ Black
- Housing Material_ Aluminium
- Dimensions: 2.9 x 19.2 x 12.4 cm
- Weight: 676.0 g
- Certifications: CE, FCC, RoHS
- Ambient Temperature_
- Operating: 10°C to 35°C
- Non-Operating: -40°C to 65°C
- Altitude:
- Operating: -304.8 m to 3,048.0 m
- Non-Operating: -304.8 m to 12,192.0 m
- Humidity:
- Operating: 8% to 90% non-condensing
- Non-Operating: 5% to 95% non-condensing
- Noise: 0.0dB
WHAT'S IN THE BOX
- OWC Thunderblade 16TB Thunderbolt3 2.5" External SSD x1
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
4.0 ★★★★★
Based on 18 reviews
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Product Reviews
★★★★★ 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
★★★★★ 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.
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Reviewed in the United States on August 10, 2025
★★★★★ 5
Great foundation read for security!
Format: Paperback
This book is a great read! It builds a strong foundation and I would highly recommend it for builders who are interetsed in building on LLMs and ensuring everything is secure. Security is super important and this book does it justice!
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Reviewed in the United States on June 27, 2025
★★★★★ 5
Loved it
Format: Paperback
I’ve easily read dozens of tech books. I liked this one a lot. Sure, there were boring parts, but most of it was engaging, especially on dry subjects. I previously read “How AI Works” and found this more informative and way more enjoyable. I got through the 700 pages in about 5 weeks while also learning about probability and linear algebra from other books and online sources. I’d love to read something more advanced by the author, maybe getting into more modern applications. I feel more comfortable with the subject and feel I am now ready to conquer more advanced texts. I initially picked this up to give me some background before reading “How to Build a LLM (from scratch)”. I’ve ordered an intermediary Deep Learning with Python book as well, but wouldn’t mind a more advanced theory book to accompany these books. I’ll definitely be rereading sections of this book to further familiarize myself with topics like backpropagation. Highly recommend if you’re looking for a gentle, but broad introduction to the topic.
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Reviewed in the United States on November 14, 2025
★★★★★ 5
A Good Place to Start Learning AI
Format: Paperback
Diving into the world of artificial intelligence can feel like stepping into a vast, uncharted ocean, and if you're looking for a reliable vessel to navigate these waters, this book is an excellent choice. However, I must be candid—this journey is not for the faint-hearted or those hoping to breeze through. The subject of AI, with its complex algorithms and intricate theories, is notoriously challenging. You won't find yourself flipping pages at a rapid pace, as this is not a title designed for speed-reading. Instead, it demands your full attention and a willingness to engage deeply with the material.
At the heart of AI lies mathematics—a fundamental pillar that underpins the entire discipline. This book, while comprehensive, offers only a glimpse into the mathematical framework that drives artificial intelligence. But don’t be disheartened by this. Think of it as a solid foundation, a primer that will arm you with the essential concepts needed before you delve deeper into the more advanced mathematical intricacies elsewhere. When you do eventually tackle those more complex equations, you'll find yourself better equipped, with a clearer understanding of the principles at play.
I should also mention that I'm no stranger to Andrew's work. Having explored some of his other writings, I can confidently say that he possesses a unique flair for communication. His ability to distill complex ideas into accessible language, without losing the essence of the subject, is truly commendable. Andrew writes with a certain finesse and sophistication that makes even the most daunting topics seem approachable. His style is not just informative, but also engaging, with a touch of elegance that sets his work apart from others in the field.
In summary, while the path to mastering AI is undeniably steep, this book serves as an invaluable guide. It’s not just a starting point; it’s a beacon for those who are serious about understanding the intricacies of artificial intelligence. Be prepared to invest time and effort, and in return, you'll gain a solid foothold in a subject that is as fascinating as it is complex.
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Reviewed in the United States on September 2, 2024
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