If you were hoping to get your hands on one of Nvidia’s “Grace” Arm-based CPUs, then you better be prepared to buy a pretty big machine. …
Nvidia’s Grace-Hopper Hybrid Systems Bring Huge Memory To Bear was written by Timothy Prickett Morgan at The Next Platform.
Special Thanks: Adrian vifino Pistol for writing this code and for the wonderful collaboration!
Ever since I first saw VPP - the Vector Packet Processor - I have been deeply impressed with its performance and versatility. For those of us who have used Cisco IOS/XR devices, like the classic ASR (aggregation service router), VPP will look and feel quite familiar as many of the approaches are shared between the two.
In the last three articles, I thought I had described “all we need to know” to perform MPLS using the Linux Controlplane in VPP:
As if in a state of premonition, I mentioned:
Caveat empor, outside of a modest functional and Continue reading
Before we managed to recover from the automation cargo cults, a tsunami wave of cargo cult AI washed over us as Edlyn V. Levine explained in an ACM Queue article. Enjoy ;)
Also, a bit of a historical perspective is never a bad thing:
Impressive progress in AI, including the recent sensation of ChatGPT, has been dominated by the success of a single, decades-old machine-learning approach called a multilayer (or deep) neural network. This approach was invented in the 1940s, and essentially all of the foundational concepts of neural networks and associated methods—including convolutional neural networks and backpropagation—were in place by the 1980s.
Before we managed to recover from the automation cargo cults, a tsunami wave of cargo cult AI washed over us as Edlyn V. Levine explained in an ACM Queue article. Enjoy ;)
Also, a bit of a historical perspective is never a bad thing:
Impressive progress in AI, including the recent sensation of ChatGPT, has been dominated by the success of a single, decades-old machine-learning approach called a multilayer (or deep) neural network. This approach was invented in the 1940s, and essentially all of the foundational concepts of neural networks and associated methods—including convolutional neural networks and backpropagation—were in place by the 1980s.
Bruce Schneier wrote an excellent essay explaining why we need trustworthy AI and why we won’t get it as long the AI solutions are created by large tech companies with you are a product business model.
Bruce Schneier wrote an excellent essay explaining why we need trustworthy AI and why we won’t get it as long the AI solutions are created by large tech companies with you are a product business model.
Modern F1 racing is bathed in data. Real-time vehicle telemetry. In-car video feeds. More video from camera crews and drones. Live streaming. All of this and more needs a network. On today's Heavy Networking we speak with Formula 1's David Ramsden, Senior Network Engineer; and Lee Wright, Head of IT Operations, to get the inside track on building the networks that support F1 races.
The post Heavy Networking 681: Under The Hood Of Formula 1 Networking appeared first on Packet Pushers.
Organizations are adopting Kubernetes on Amazon Web Services (AWS) to modernize their applications. But Kubernetes clusters and application lifecycles demand a considerable investment of cost and resources, especially for edge applications.
Rafay’s SaaS-based Kubernetes operations platform (KOP) helps platform teams deploy, scale, and manage their fleet without requiring anyone on the platform team to be a Kubernetes expert. Hosted on AWS Elastic Kubernetes Services (EKS), Rafay’s unified, enterprise-grade KOP supports Kubernetes and application lifecycle management through automation and self-service with the right standardization, control, and governance level. Rafay empowers organizations to accelerate their digital transformation while limiting operating costs.
In partnership with AWS and Tigera, Rafay shares the story of how it leveraged Calico on AWS to secure its turnkey offering in an exclusive case study. Here are the highlights.
To secure its KOP and enable customers with little to no Kubernetes experience, Rafay required a scalable, Kubernetes-native security solution that could:
We recently introduced Oxy, our Rust framework for building proxies. Through a YAML file, Oxy allows applications to easily configure listeners (e.g. IP, MASQUE, HTTP/1), telemetry, and much more. However, when it comes to application logic, a programming language is often a better tool for the job. That’s why in this post we’re introducing Oxy’s rich dependency injection capabilities for programmatically modifying all aspects of a proxy.
The idea of extending proxies with scripting is well established: we've had great past success with Lua in our OpenResty/NGINX deployments and there are numerous web frameworks (e.g. Express) with middleware patterns. While Oxy is geared towards the development of forward proxies, they all share the model of a pre-existing request pipeline with a mechanism for integrating custom application logic. However, the use of Rust greatly helps developer productivity when compared to embedded scripting languages. Having confidence in the types and mutability of objects being passed to and returned from callbacks is wonderful.
Oxy exports a series of hook traits that “hook” into the lifecycle of a connection, not just a request. Oxy applications need to control almost every layer of the OSI model: how Continue reading
Sometime last autumn, I was asked to create a short “network security challenges” presentation. Eventually, I turned it into a webinar, resulting in almost four hours of content describing the interesting gotchas I encountered in the past (plus a few recent vulnerabilities like turning WiFi into a thick yellow cable).
Each webinar section started with a short “This is why we have to deal with these stupidities” introduction. You’ll find all of them collected in the Root Causes video starting the Network Security Fallacies part of the How Networks Really Work webinar.
Sometime last autumn, I was asked to create a short “network security challenges” presentation. Eventually, I turned it into a webinar, resulting in almost four hours of content describing the interesting gotchas I encountered in the past (plus a few recent vulnerabilities like turning WiFi into a thick yellow cable).
Each webinar section started with a short “This is why we have to deal with these stupidities” introduction. You’ll find all of them collected in the Root Causes video starting the Network Security Fallacies part of the How Networks Really Work webinar.
Not all important supercomputers are on the twice-a-year Top500 rankings of machines. …
Isambard 3 To Put Nvidia’s “Grace” CPU Through The HPC Paces was written by Timothy Prickett Morgan at The Next Platform.
What has been happening in the world of network automation—and more to the point, what is coming in the future? Josh Stephens from Backbox joins Tom Ammon, Eyvonne Sharp, and Russ White to discuss the current and future network operations and automation landscape.