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Lenovo ThinkStation PGX SFF | NVIDIA® GB10 Grace Blackwell Superchip | 1TB (30KL000-2SG)

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Lenovo ThinkStation PGX SFF | NVIDIA® GB10 Grace Blackwell Superchip | 1TB (30KL000-2SG)ThinkStation PGX 1TB Model: 30KL0002SG Built into NVIDIA GB10 Grace Blackwell Superchip, 20 core Arm, 10x Cortex X925 + 10x Cortex A725 128GB LPDDR5x, 256 bit, Unified System Memory 1TB SSD M. 2 2242 PCIe 4. 0x4 NVMe Opal 2. 0 NVIDIA Blackwell Architecture, Built into NVIDIA GB10 Grace Blackwell Superchip NVIDIA DGX OS1Y Premier Support Upgrade from 1Y Onsite Model Configurations: PERFORMANCE Processor Built into NVIDIA GB10 Grace Blackwell Superchip,
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4.2 ★★★★★
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E. Fanning
Cuba, US
★★★★★ 5
A great book
Format: Hardcover
This book was absolutely great.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on March 20, 2024
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Zay
Pawtucket, US
★★★★★ 5
Upside down (Great)
Format: Hardcover
Was extremely relatable and a blessing I gifted this book and want it back lol but I will be ordering again
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Reviewed in the United States on October 23, 2024
R
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Rory Derrick
Draper, US
★★★★★ 5
Good book
Format: Paperback
Still working through it but I have no complaints. I have a shelf of no starch books and have not been disappointed by any. Some, of course, are better than others but this is a good book.
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Reviewed in the United States on December 2, 2021
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Cory P.
Grantham, US
★★★★★ 5
Dive into Algorithms is more like eating a Parfait than trying understand algorithms!
Format: Paperback
Seriously though great writing and explanation along with great history lessons. Also highly recommend for anyone working in the data science field.
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Reviewed in the United States on August 3, 2021
F
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Frank Gonzalez
Omaha, US
★★★★★ 3
Ok content, not great explanations (2.5 our of 5 stars)
Format: Paperback
I found the contents of this book to be simply ok: either too simple, or the more complicated algorithms and concepts would not be as carefully explained as they should have been. It is not a terrible book, but it feels as though the author did not go over many drafts/iterations of this work.
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Reviewed in the United States on April 7, 2024

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