Skip to main content

AI Network

The AI Network Is The Computer, Says Nvidia


Nvidia just reclaimed its title as the world’s most valuable company. Whether it retains this top position and for how long depends on its success in defining and developing a worldwide network of AI processing units.

Nvidia is pursuing a vision of a future where “part of the application runs in the data center, another part in a data center at the edge, and another part in an autonomous machine roaming around the world.” This is how Jensen Huang, Nvidia’s co-founder and CEO, described the future of computer applications in a conversation with Bob Metcalfe, inventor of the Ethernet. Huang and Metcalfe are prime examples of the remarkable marriage of engineering ingenuity and marketing creativity that has made many American entrepreneurs successful.

Already five years ago, Huang saw the data center as “a composable disaggregated infrastructure,” where the critical path is the interaction of one “computing node” with another “computing node” over the Ethernet network. In response, Metcalfe asked, “Is this why you bought Mellanox?” and Huang answered, “It is exactly the reason why I bought Mellanox,” adding a great insight: “Understanding the direction of software inspires you about what’s the best way to design and evolve hardware.” In other words, anticipating how applications will be developed and run in the future, Nvidia has added to its portfolio (developing in-house or acquiring) new hardware elements so that it can offer its customers faster, more efficient, more resilient, and less expensive shuttling of data inside and outside the data center.

Founded in Israel in 1999, Mellanox initially focused on developing computer networking products based on the then-new InfiniBand standard. These products featured high throughput and low latency, ensuring fast data movement between one “computing node” and another. Mellanox later added networking products based on the Ethernet standard and was acquired by Nvidia for $6.9 billion in 2019.

Kevin Deierling, the first Mellanox employee in the U.S., is now Nvidia’s senior vice president of networking. Nvidia’s networking division develops and sells the Spectrum-X networking platform, which the company calls “the world’s first Ethernet networking platform for AI.”

Networking, Protocols, IP Addressing, Subnetting, Routing, Switching, Firewalls, VLAN, TCP/IP, DNS, DHCP, NAT, VPN, Network Security, Bandwidth, Latency, Packet Loss, QoS, Cloud Networking, Network Monitoring

#Networking, #IPaddress, #Routing, #Switching, #Firewall, #VLAN, #TCPIP, #DNS, #DHCP, #NAT, #VPN, #CyberSecurity, #Bandwidth, #Latency, #QoS, #CloudNetwork, #PacketLoss, #NetworkTools, #ITInfrastructure, #NetworkSecurity

Comments

Popular posts from this blog

HealthAIoT: Revolutionizing Smart Healthcare! HealthAIoT combines Artificial Intelligence and the Internet of Things to transform healthcare through real-time monitoring, predictive analytics, and personalized treatment. It enables smarter diagnostics, remote patient care, and proactive health management, enhancing efficiency and outcomes while reducing costs. HealthAIoT is the future of connected, intelligent, and patient-centric healthcare systems. What is HealthAIoT? HealthAIoT is the convergence of Artificial Intelligence (AI) and the Internet of Things (IoT) in the healthcare industry. It integrates smart devices, sensors, and wearables with AI-powered software to monitor, diagnose, and manage health conditions in real-time. This fusion is enabling a new era of smart, connected, and intelligent healthcare systems . Key Components IoT Devices in Healthcare Wearables (e.g., smartwatches, fitness trackers) Medical devices (e.g., glucose monitors, heart rate sensors) Rem...
Detecting Co-Resident Attacks in 5G Clouds! Detecting co-resident attacks in 5G clouds involves identifying malicious activities where attackers share physical cloud resources with victims to steal data or disrupt services. Techniques like machine learning, behavioral analysis, and resource monitoring help detect unusual patterns, ensuring stronger security and privacy in 5G cloud environments. Detecting Co-Resident Attacks in 5G Clouds In a 5G cloud environment, many different users (including businesses and individuals) share the same physical infrastructure through virtualization technologies like Virtual Machines (VMs) and containers. Co-resident attacks occur when a malicious user manages to place their VM or container on the same physical server as a target. Once co-residency is achieved, attackers can exploit shared resources like CPU caches, memory buses, or network interfaces to gather sensitive information or launch denial-of-service (DoS) attacks. Why are Co-Resident Attack...
                        Neural Networks Neural networks are computing systems inspired by the human brain, consisting of layers of interconnected nodes (neurons). They process data by learning patterns from input, enabling tasks like image recognition, language translation, and decision-making. Neural networks power many AI applications by adjusting internal weights through training with large datasets.                                                    Structure of a Neural Network Input Layer : This is where the network receives data. Each neuron in this layer represents a feature in the dataset (e.g., pixels in an image or values in a spreadsheet). Hidden Layers : These layers sit between the input and output layers. They perform calculations and learn patterns. The more hidden layers a ne...