It is not hard to figure out who is in the catbird seat in the semiconductor foundry business. …
TSMC Can’t Be Caught Or Bought, Only Sought Or Stolen was written by Timothy Prickett Morgan at The Next Platform.
AI agents are the latest evolution in the relatively short life span of generative AI, and while some organizations are still trying to figure out how the emerging technology fits in their operations, others are making strides into agentic AI. …
Using NIM Guardrails To Keep Agentic AI From Jumping To Wrong Conclusions was written by Jeffrey Burt at The Next Platform.
COMMISSIONED: As with any emerging technology, implementing generative AI large language models (LLMs) isn’t easy and it’s totally fair to look side-eyed at anyone who suggests otherwise. …
Can Synthetic Data Help Us Scale AI’s Data Wall? was written by Timothy Prickett Morgan at The Next Platform.
One of the recipes for easy IS-IS deployments claims that you should use only level-2 routing (although most vendors enable level-1 and level-2 routing by default).
What does that mean, and why does it matter? You’ll find the answers in the Optimize Simple IS-IS Deployments lab exercise.
Broadcom’s $61 billion acquisition of VMware in November 2023 and the subsequent changes to venerable virtualization company’s business model and pricing have rankled many long-time enterprise users, a situation that has been highly publicized despite assertions by Broadcom and VMware executives that such reports are little than FUD – short for fear, uncertainty, and doubt. …
Red Hat Woos VMware Shops With OpenShift Virtualization Engine was written by Jeffrey Burt at The Next Platform.
A Thought Leader1 recently published a LinkedIn article comparing IGP and BGP convergence in data center fabrics2. In it, they3 claimed that:
iBGP designs would require route reflectors and additional processing, which could result in slightly slower convergence.
Let’s see whether that claim makes any sense.
TL&DR: No. If you’re building a simple leaf-and-spine fabric, the choice of the routing protocol does not matter (but you already knew that if you read this blog).
As one year ends and another begins, this is often the time when people change jobs and companies change strategies. …
It’s January: Datacenter Compute Rumors And Moves was written by Timothy Prickett Morgan at The Next Platform.
In today’s rapidly evolving digital landscape, securing software systems has never been more critical. Cyber threats continue to exploit systemic vulnerabilities in widely used technologies, leading to widespread damage and disruption. That said, the United States Cybersecurity and Infrastructure Agency (CISA) helped shape best practices for the technology industry with their Secure-by-Design pledge. Cloudflare signed this pledge on May 8, 2024, reinforcing our commitment to creating resilient systems where security is not just a feature, but a foundational principle.
We’re excited to share an update aligned with one of CISA’s goals in the pledge: To reduce entire classes of vulnerabilities. This goal aligns with the Cloudflare Product Security program’s initiatives to continuously automate proactive detection and vigorously prevent vulnerabilities at scale.
Cloudflare’s commitment to the CISA pledge reflects our dedication to transparency and accountability to our customers. This blog post outlines why we prioritized certain vulnerability classes, the steps we took to further eliminate vulnerabilities, and the measurable outcomes of our work.
Cloudflare’s core security philosophy is to prevent security vulnerabilities from entering production environments. One of the goals for Cloudflare’s Product Security team is to champion this philosophy and ensure Continue reading
As part of the netlab development process, I run almost 200 integration tests on more than 20 platforms (over a dozen operating systems), and the amount of weirdness I discover is unbelievable.
Today’s special: Junos is failing the IS-IS metrics test.
The test is trivial:
The validation process is equally trivial:
Perhaps no document has ever had a more appropriate title than the “Interim Final Rule on Artificial Intelligence Diffusion” announced by the Biden Administration and the US Department of Commerce today. …
Unstable Diffusion: Artificial Intelligence Meets Military Intelligence was written by Timothy Prickett Morgan at The Next Platform.
Imagine you want to create a simple multi-site network with netlab:
Network diagram
Hello my friend,
So far the only way to provide user input to your Python and Go (Golang) applications we’ve shared with you in these blog series was the environment. Whilst it is a powerful way, which is heavily used especially in cloud native world, where we utilize Kubernetes, it is not the only way to provide user input. Today we’ll review another mechanism, which is text files.
Lately I’ve seen more and more posts on LinkedIn that AI is taking software development jobs away and/or making them less profitable. I’m myself use various AIs as code assistants, so I can see massive massive boost in productivity. At the same time, often AI generates code, which simply doesn’t work regardless the amount of iterations you try it with different prompts. Or it does generates working code, which is far less performance optimized that it can be. Therefore, I’m convinced that software engineers are here to stay for quite a bit. Moreover, network and IT infrastructure automation is a specific domain, which knowledge is even less acquirable by AI now due to lack of structured data for models training. Which means, you shall Continue reading
The previous section introduced the construction and operation of a single Long Short-Term Memory (LSTM) cell. This section briefly discusses an LSTM-based Recurrent Neural Network (RNN). Before diving into the details, let’s recap how an individual LSTM cell operates with a theoretical, non-mathematical example.
Suppose we want our model to produce the sentence: “It was cloudy, but it is raining now.” The first part of it refers to the past, and one of the LSTM cells has stored the tense “was” in its internal cell state. However, the last portion of the sentence refers to the present. Naturally, we want the model to forget the previous tense “was” and update its state to reflect the current tense “is.”
The Forget Gate plays a role in discarding unnecessary information. In this case, the forget gate suppresses the word “was” by closing its gate (outputting 0). The Input Gate is responsible for providing a new candidate cell state, which in this example is the word “is.” The input gate is fully open (outputting 1) to allow the latest information to be introduced.
The Identification function computes the updated cell state by Continue reading