Elcore GE’s Post

VAST Data Collaborates with Cisco to Elevate AI Datacenters In a strategic partnership, VAST Data pioneers integration with Cisco’s Nexus 9000 Ethernet switches, fortifying the networking giant’s Nexus HyperFabric for Ethernet AI stacks linked to Nvidia GPU farms. https://is.gd/vyaKbq #AI #AItechnology #artificialintelligence #Cisco #llm #machinelearning #VASTData

AI workloads are driving significant changes in how we power and cool the machinery used to process data as part of high-performance computing. According to Vertiv’s blog, IT racks used to run workloads from 5kW and above were considered high-density. But with the addition of GPUs to support the computing needs of AI models, new chips can require about five times as much power and cooling capacity in the same space as a traditional server. Is your equipment ready to handle AI processing? 💻 #ArtificialIntelligence https://lnkd.in/eMG3N4U2

AI workloads are driving significant changes in how we power and cool the machinery used to process data as part of high-performance computing. According to Vertiv’s blog, IT racks used to run workloads from 5kW and above were considered high-density. But with the addition of GPUs to support the computing needs of AI models, new chips can require about five times as much power and cooling capacity in the same space as a traditional server. Is your equipment ready to handle AI processing? 💻 #ArtificialIntelligence https://lnkd.in/eMG3N4U2

As data centers adopt AI-driven applications and algorithms, the workload on servers intensifies, exacerbating heat dissipation challenges. This necessitates advanced cooling systems and innovative cooling techniques to maintain optimal operating temperatures. However, addressing the thermal management challenges posed by AI in data centers remains critical for sustaining performance and reliability while minimizing environmental impact.

AI workloads are driving significant changes in how we power and cool the machinery used to process data as part of high-performance computing. According to Vertiv’s blog, IT racks used to run workloads from 5kW and above were considered high-density. But with the addition of GPUs to support the computing needs of AI models, new chips can require about five times as much power and cooling capacity in the same space as a traditional server. Is your equipment ready to handle AI processing? 💻 #ArtificialIntelligence https://lnkd.in/eMG3N4U2

AI workloads are driving significant changes in how we power and cool the machinery used to process data as part of high-performance computing. According to Vertiv’s blog, IT racks used to run workloads from 5kW and above were considered high-density. But with the addition of GPUs to support the computing needs of AI models, new chips can require about five times as much power and cooling capacity in the same space as a traditional server. Is your equipment ready to handle AI processing? 💻 #ArtificialIntelligence https://lnkd.in/eMG3N4U2

AI workloads are driving significant changes in how we power and cool the machinery used to process data as part of high-performance computing. According to Vertiv’s blog, IT racks used to run workloads from 5kW and above were considered high-density. But with the addition of GPUs to support the computing needs of AI models, new chips can require about five times as much power and cooling capacity in the same space as a traditional server. Is your equipment ready to handle AI processing? 💻 #ArtificialIntelligence https://lnkd.in/eMG3N4U2

AI workloads are driving significant changes in how we power and cool the machinery used to process data as part of high-performance computing. According to Vertiv’s blog, IT racks used to run workloads from 5kW and above were considered high-density. But with the addition of GPUs to support the computing needs of AI models, new chips can require about five times as much power and cooling capacity in the same space as a traditional server. Is your equipment ready to handle AI processing? 💻 #ArtificialIntelligence https://lnkd.in/eMG3N4U2

I’m an oldtimer, but what’s a retimer? When we think of networks, we often forget that the foundational “compute elements” are networked together over distances that are measured in millimeters and centimeters. PCIe has evolved over time so that it can effectively connect CPUs, GPUs, memory, etc. over increasing distances. Again, measured in inches. A retimer is a PCIe protocol aware “reach extender” that goes beyond the capability of the “redrivers” that have come before. Why is this important? Connecting GPUs and memory inside a server and beyond is critical to the successful design of an AI cluster. The devil is in the details. The network IS the machine.

AI workloads are driving significant changes in how we power and cool the machinery used to process data as part of high-performance computing. According to Vertiv’s blog, IT racks used to run workloads from 5kW and above were considered high-density. But with the addition of GPUs to support the computing needs of AI models, new chips can require about five times as much power and cooling capacity in the same space as a traditional server. Is your equipment ready to handle AI processing? 💻 #ArtificialIntelligence https://lnkd.in/eMG3N4U2