SKU: 69648546647

HPE 782833-001 Synergy 3820C Dual Port 10Gb CNA Adapter (Gen9/Gen10)

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Description

HPE 782833-001 Synergy 3820C Dual Port 10Gb CNA Adapter (Gen9/Gen10)Snelle netwerk en storageconnectiviteit. Flexibel. Enterprise klasse prestaties. De HPE 782833 001 Synergy 3820C Converged Network Adapter (CNA) is een originele mezzanine netwerkadapter voor HPE Synergy compute modules. Deze adapter combineert Ethernet en Fibre Channel over Ethernet (FCoE), waardoor zowel netwerk als storageverkeer via dezelfde verbinding kan worden afgehandeld. Met twee 10Gb poorten levert deze CNA hoge doorvoersnelheden en lage

Snelle netwerk- en storageconnectiviteit. Flexibel. Enterprise-klasse prestaties.

De HPE 782833-001 Synergy 3820C Converged Network Adapter (CNA) is een originele mezzanine netwerkadapter voor HPE Synergy compute modules. Deze adapter combineert Ethernet en Fibre Channel over Ethernet (FCoE), waardoor zowel netwerk- als storageverkeer via dezelfde verbinding kan worden afgehandeld.

Met twee 10Gb poorten levert deze CNA hoge doorvoersnelheden en lage latency. Dit maakt de adapter zeer geschikt voor virtualisatie, cloudomgevingen en andere data-intensieve toepassingen binnen moderne datacenters.

Door netwerk en storage te consolideren in één adapter wordt de infrastructuur efficiënter, overzichtelijker en eenvoudiger te beheren. De adapter is volledig geïntegreerd binnen de HPE Synergy composable infrastructuur en biedt betrouwbare prestaties in enterprise omgevingen.

Compatibiliteit

Deze CNA is geschikt voor gebruik in de volgende HPE Synergy compute modules:

  • Synergy 480 Gen9
  • Synergy 620 Gen9
  • Synergy 660 Gen9
  • Synergy 680 Gen9
  • Synergy 480 Gen10
  • Synergy 660 Gen10

Belangrijk:
Deze mezzanine adapter is uitsluitend compatibel met HPE Synergy systemen en vereist een HPE Virtual Connect interconnect module met ondersteuning voor 10Gb Ethernet en FCoE. Niet geschikt voor standaard rackservers.

Waarom kiezen voor de HPE 782833-001 Synergy 3820C CNA?

⚡ Dual port 10Gb prestaties
Twee 10Gb poorten voor snelle en stabiele netwerkverbindingen.

🔄 Converged networking (CNA)
Combineert Ethernet en FCoE in één adapter, waardoor minder hardware nodig is.

🔌 Redundantie en schaalbaarheid
Ondersteunt teaming en failover voor hoge beschikbaarheid.

🛠️ Originele HPE OEM adapter
Ontworpen voor volledige compatibiliteit met Synergy infrastructuur.

🔒 Betrouwbare datacenterprestaties
Geschikt voor continu gebruik in enterprise omgevingen.

⚙️ Specifiek voor HPE Synergy
Perfecte uitbreiding voor Gen9 en Gen10 composable systemen.

Voor wie is dit ideaal?

💼 Datacenters en enterprise IT-omgevingen
🖥️ Organisaties met HPE Synergy infrastructuur
🌐 Bedrijven die netwerk en storage willen consolideren (FCoE)
🔧 IT-beheerders die flexibiliteit en efficiëntie zoeken

Efficiënte netwerk- en storageoplossing

Met de HPE 782833-001 Synergy 3820C CNA kies je voor een krachtige en efficiënte oplossing die netwerk- en storageverkeer combineert en optimale prestaties levert binnen professionele datacenteromgevingen.

Productstaat van de HPE 782833-001 Synergy 3820C CNA

Het product verkeert in goede staat en is volledig functioneel.

Alle hardware wordt vóór uitlevering zorgvuldig getest en gecontroleerd, zodat je verzekerd bent van een goed werkend product.

✔️ Inclusief 1 jaar garantie

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SKU: 69648546647

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4.8 ★★★★★
Based on 11 reviews
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Product Reviews
P
Paul Pollock
San Leandro, US
★★★★★ 5
Your Blueprint for Building Smarter AI!
Format: Paperback
If you're building AI and sometimes feel a bit lost, "LLM Design Patterns" by Ken Huang is like finding the secret map you've been searching for. Ken Huang, who clearly knows his stuff (he's a renowned AI expert and works with big names like OWASP and NIST), writes in a way that just clicks, without getting bogged down in super-dense tech talk. The author even acknowledges using AI to make the language clearer for a smooth reading experience! This book covers everything you need, from getting your data squeaky clean to making AI agents that can actually think and act autonomously. For me, the parts on Retrieval-Augmented Generation (RAG) and advanced ways to 'talk' to your AI (prompting) were particularly eye-opening and immediately useful for my projects. Plus, it has handy code snippets that really help you grasp the ideas. While they're not ready for direct production copy-pasting, they illustrate the concepts perfectly for learning. It's not for absolute beginners – you'll want some basic Python and machine learning smarts to get the most out of it – but the effort is totally worth it. It even delves into making sure your AI is fair and unbiased, which was a real lightbulb moment for me. This book is crammed with actionable advice; it's less about abstract theory and more about real-world solutions you can actually use. If you're serious about building impressive AI systems professionally, this is a must-read.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on August 7, 2025
A
Allen Wyma
Massapequa, US
★★★★★ 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
O
Om S
Natrona Heights, 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
Bozeman, 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
Chelsea, 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

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