SKU: 33116471511

Lenovo - ThinkSystem 10Gb 4-Port Base-T LOM Adapter , P/N: 00YJ569

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Description

Lenovo - ThinkSystem 10Gb 4-Port Base-T LOM Adapter , P/N: 00YJ569Lenovo LOM Adapter (LAN on Motherboard) Lenovo ThinkSystem 10Gb 4 Port Base T P N: 00YJ569 LOM P N: 00YJ569 De Lenovo 00YJ569 is een quad port 10GBase T LOM adapter op basis van de Intel X557 AT4 chipset, ontwikkeld voor Lenovo ThinkSystem servers. De kaart plaatst zich in de dedicate LOM slot en biedt vier onafhankelijke 10GbE RJ45 poorten zonder een PCIe slot te bezetten. Backward compatible met 1GbE infrastructuur. SR IOV met 128 VFs maakt directe

Lenovo · LOM Adapter (LAN on Motherboard)

Lenovo ThinkSystem 10Gb 4-Port Base-T P/N: 00YJ569 – LOM

P/N: 00YJ569

De Lenovo 00YJ569 is een quad-port 10GBase-T LOM-adapter op basis van de Intel X557-AT4 chipset, ontwikkeld voor Lenovo ThinkSystem servers. De kaart plaatst zich in de dedicate LOM-slot en biedt vier onafhankelijke 10GbE RJ45-poorten zonder een PCIe-slot te bezetten. Backward-compatible met 1GbE infrastructuur. SR-IOV met 128 VFs maakt directe doorgifte van netwerkbronnen aan VMs mogelijk, ideaal voor gevirtualiseerde ThinkSystem-omgevingen.

✓ 1 jaar garantie
✓ Intel X557-AT4
✓ Lenovo ThinkSystem SR630/SR650/SR850 compatibel
✓ Refurbished

Technische specificaties

Kenmerk Waarde
Part Number 00YJ569
Chipset Intel X557-AT4
Aantal poorten 4 × RJ45
Snelheid per poort 100 Mb/s / 1 Gb/s / 10 Gb/s (auto-negotiation)
Connectortype RJ45 (10GBase-T, CAT6/CAT6A)
Host interface LOM-slot (bezet geen PCIe-slot)
Adaptertype LOM (LAN on Motherboard)
Protocollen Ethernet
Virtualisatie SR-IOV (128 VFs)
Geavanceerde functies RSS, MSI-X, Jumbo Frames, VLAN (802.1q), LACP (802.3ad), PXE Boot
Formfactor LOM
Werktemperatuur 0 – 55 °C

Servercompatibiliteit

⚠ Deze kaart past uitsluitend in Lenovo ThinkSystem servers met een LOM-slot. Standaard PCIe-servers worden niet ondersteund.

Servermodel Opmerking
Lenovo ThinkSystem SR630 1U rack, dual-socket
Lenovo ThinkSystem SR650 2U rack, dual-socket
Lenovo ThinkSystem SR850 2U rack, quad-socket
Lenovo ThinkSystem SR860 2U rack, quad-socket
Lenovo ThinkSystem SR950 4U rack, quad-socket
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SKU: 33116471511

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MrGee
Birmingham, US
★★★★★ 5
An enjoyable, and seriously excellent, path to understanding Deep Learning...
Format: Paperback
Deep Learning is changing our world. If you want to understand more, this is a great place to start. Andrew Glassner is a talented explainer - I took his short course on Deep Learning and learned so much, but also came away impressed at how well he can make complex material so clear and engaging. And this book is jammed packed with insights, visuals, and clear explanations. The author has a playful, sometimes quirky style that shines through, which gives this tour a lot of personality as well as information. Very enjoyable reading - I felt like he captured all that was good about his course (and then some) and bottled it up in this book. There is a lot more material here than in that course, and it is well laid-out and organized so that it is easy to roam around and come back to review the pieces that matter to you. Even if you plan to go to on to be a world-class Deep Learning engineer or mathematician, you have to start by understanding the concepts. And this book does a great job of presenting all the core ideas in a way that makes them clear and memorable.
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Reviewed in the United States on August 5, 2021
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R. Cote
Alexandria, US
★★★★★ 5
Before GPT can chat, it has to learn.
Format: Paperback
One of the most comprehensive guides to AI and deep learning available. All concepts covered clearly and concisely with illustrations. Complex concepts are broken down into understandable terms. Even though ML and AI require some complex math, you won’t need it to get idea of what’s going on inside the computer’s “brain”. I use this as a reference when teaching AI concepts and preparing presentations. I highly recommend it
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Reviewed in the United States on April 5, 2025
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Rafael Azevedo Souza Costa
Fort Morgan, US
★★★★★ 5
Great examples and practical explanations
Format: Paperback
Excellent book. Highly recommend
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Reviewed in the United States on May 19, 2025
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Thomas
Natrona Heights, US
★★★★★ 5
Great for intuitive understanding
Format: Paperback
Amazing book. Great examples and diagrams. If you're looking to get an intuitive grasp of deep learning, look no further. If you're an engineer looking to apply it, I would recommend pairing this with one of the more technical canonical texts and a programming focused book.
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Reviewed in the United States on May 4, 2024
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La Monte HP Yarroll
Birmingham, US
★★★★★ 5
Taught me backpropagation
Format: Paperback
I'm finding this book a great reference to supplement Syracuse IST 691 Deep Learning in Practice. In particular, its explanation of backpropagation is the clearest I have found yet, and that even includes 3 Blue 1 Brown, which always does excellent explanations.
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Reviewed in the United States on April 13, 2025

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