How RDUs can solve AI inference energy challenges

SambaNova’s RDU: The Key to Sustainable AI Scaling ♻️ The AI inference boom is triggering a data center power crisis most aren’t prepared for. Consider this: ➡️ Microsoft & Google used 48 TWh in 2023 (more than 100 countries!). ➡️ AI data center power demand is projected to grow 31x by 2035 (Deloitte). ➡️ Next-gen GPUs require up to 600kW per rack + exotic liquid cooling – straining grids and water resources. The bottleneck isn't just compute – it's power, cooling, and water. Building new data centers or power plants can't solve this fast enough. SambaNova offers the efficient architecture power-constrained data centers need: The Reconfigurable Dataflow Unit (RDU). Unlike GPUs designed for training, RDUs are purpose-built for efficient inference: 🔋 Radical Energy Efficiency: The SN40L RDU’s dataflow architecture & operator fusion drastically reduce memory calls and energy use. 🧊 Inherent Cooling Optimization: Lower power draw = far less heat generated, slashing cooling energy demands. 💧 Reduced Water Footprint: Significantly lower heat output directly reduces the massive water consumption required for cooling systems (evaporative cooling, chillers). Peter Rutten, IDC VP, nailed it: "AI infrastructure is in its incandescent phase... SambaNova invented LED technology." SambaNova isn't just accelerating AI performance; it's enabling sustainable scaling by maximizing energy efficiency, optimizing cooling, and reducing water use – critical for our power-constrained future. #AI #DSPGen #Sustainability #DataCenters #EnergyEfficiency #GreenTech #SambaNova #ArtificialIntelligence #WaterConservation #Inference #GreenAI #Semiconductors #Innovation

1、AI inference is rapidly outpacing training in power demand. 2、Traditional GPU infrastructure can’t scale within power limits. 3、RDUs offer higher throughput and better energy efficiency.

#ICYMI: This week Solidigm unveiled our AI Central Lab. The Lab brings together #storage and #AI capabilities to perform cutting-edge research and, alongside key collaborators, improve bottom-line results to drive both industries forward. Read more about the nuts and bolts helping to define tomorrow’s AI data architecture. https://lnkd.in/gvNBFcM8

Did you know AI success relies not just on GPU power, but on having fast, always-available storage to keep those GPUs running at peak efficiency? Downtime and data bottlenecks can stop even the most advanced projects in their tracks. Our Co-Founder and CEO, Bjorn Kolbeck, recently shared his perspective with TechRadar Pro on why storage availability is absolutely critical for AI, and how bringing hyperscaler-level reliability and scale to data infrastructure is the way forward. Don’t miss his insights on the new standards being set for storage in AI-driven organizations. Read the article here: https://buff.ly/YeambTf #Quobyte #ArchitectedForAI #DeployAnywhere #NoDowntime #AlwaysAvailableStorage

As enterprises move AI workloads closer to the source of data, developers and hardware makers are tackling the toughest challenges — optimizing models for chip architectures, minimizing power draw and securing systems from factory floors to vehicles. By Chris J. Preimesberger

🚀 The new Oracle Zettascale10 Cluster and AI database integrations accelerated by NVIDIA deliver intelligence at every layer of the ecosystem to enable next-generation #AI. ✅ The cluster is designed for high-performance AI inference and training and harnesses NVIDIA Spectrum-X Ethernet. ✅ NVIDIA NIM microservices in Oracle Database 26ai accelerate high-volume AI vector workloads. ✅ NVIDIA #acceleratedcomputing integrations enable customers to quickly deploy and scale AI. 🔗 Learn more now: https://bit.ly/42IuP2u

🚀 The new Oracle Zettascale10 Cluster and AI database integrations accelerated by NVIDIA deliver intelligence at every layer of the ecosystem to enable next-generation #AI. ✅ The cluster is designed for high-performance AI inference and training and harnesses NVIDIA Spectrum-X Ethernet. ✅ NVIDIA NIM microservices in Oracle Database 26ai accelerate high-volume AI vector workloads. ✅ NVIDIA #acceleratedcomputing integrations enable customers to quickly deploy and scale AI. 🔗 Learn more now: https://bit.ly/4heYiXU

🚀 The new Oracle Zettascale10 Cluster and AI database integrations accelerated by NVIDIA deliver intelligence at every layer of the ecosystem to enable next-generation #AI. ✅ The cluster is designed for high-performance AI inference and training and harnesses NVIDIA Spectrum-X Ethernet. ✅ NVIDIA NIM microservices in Oracle Database 26ai accelerate high-volume AI vector workloads. ✅ NVIDIA #acceleratedcomputing integrations enable customers to quickly deploy and scale AI. 🔗 Learn more now: https://bit.ly/47fAYEP