AI agents don’t behave like other AI workloads. They run long sessions, call multiple models, burst unpredictably, and idle between steps. This requires a change in how we think about GPU provisioning. Clouds that were built for inference and training, make the economics of agents unsustainable. And something needs to change. Find out more in our blog: AI Agent Infrastructure — The GPU Cloud Workload Nobody Planned For https://lnkd.in/ezp2d9PB
AI Agents Require New GPU Provisioning Strategies
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Announcing the results of our MLPerf® Inference v6.0, a peer-reviewed industry benchmark suite for AI cloud performance. The results of our submission demonstrate Nebius’ ability to maximize efficiency for modern AI inference workloads on the latest NVIDIA Blackwell and Blackwell Ultra platforms. From single-node systems to the full-rack GB300 NVL72 configuration, these benchmarks highlight the capability of our global infrastructure to support demanding large language and multimodal models. Learn more: https://lnkd.in/eVxJAMhs
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☁️ Train frontier models faster and scale AI workloads with Lambda's bare metal cloud, powered by NVIDIA. At #NVIDIAGTC, Lambda shares how the extreme codesign of NVIDIA GB300 NVL72 and the NVIDIA Rubin platform enable isolated, high-performance AI infrastructure for large-scale AI and HPC workloads. 📆 Thursday, March 19 | 9:00 a.m PT ➡️ Explore session: https://bit.ly/4uwamdy
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☁️ Train frontier models faster and scale AI workloads with Lambda's bare metal cloud, powered by NVIDIA. At #NVIDIAGTC, Lambda shares how the extreme codesign of NVIDIA GB300 NVL72 and the NVIDIA Rubin platform enable isolated, high-performance AI infrastructure for large-scale AI and HPC workloads. 📆 Thursday, March 19 | 9:00 a.m PT ➡️ Explore session: https://bit.ly/4uwamdy
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☁️ Train frontier models faster and scale AI workloads with Lambda's bare metal cloud, powered by NVIDIA. At #NVIDIAGTC, Lambda shares how the extreme codesign of NVIDIA GB300 NVL72 and the NVIDIA Rubin platform enable isolated, high-performance AI infrastructure for large-scale AI and HPC workloads. 📆 Thursday, March 19 | 9:00 a.m PT ➡️ Explore session: https://bit.ly/4bEStjQ
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☁️ Train frontier models faster and scale AI workloads with Lambda's bare metal cloud, powered by NVIDIA. At #NVIDIAGTC, Lambda shares how the extreme codesign of NVIDIA GB300 NVL72 and the NVIDIA Rubin platform enable isolated, high-performance AI infrastructure for large-scale AI and HPC workloads. 📆 Thursday, March 19 | 9:00 a.m PT ➡️ Explore session: https://bit.ly/4slfZJi
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To succeed in AI, infrastructure matters. Different clouds have distinct advantages and disadvantages. Lambda Labs has made a name for itself for research. But when scale becomes an important factor, the picture changes. - GPUs go out of stock - Limited to centralized regions - Hard to scale to production workloads This is where http://io.net's decentralized cloud can offer a significant advantage. - Instant access to H100/H200 GPUs (no waitlists) - Global infrastructure for low-latency inference - Up to 70% cheaper than traditional providers What this means is that you can accomplish the same workflows, but with more scale, increased access, and lower budgets. Check out our new guide to see the full comparison: https://lnkd.in/epDcTef5 dba-labs-and-alternatives-comparing-gpu-cloud-pricing-and-features
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We’re excited that NVIDIA Nemotron 3 Super is now supported in OCI Generative AI, giving customers even more powerful options to bring their own models and accelerate real-world innovation on Oracle Cloud. Read the blog to learn more: https://bit.ly/4rPjXcE
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We’re excited that NVIDIA Nemotron 3 Super is now supported in OCI Generative AI, giving customers even more powerful options to bring their own models and accelerate real-world innovation on Oracle Cloud. Read the blog to learn more: https://bit.ly/4sNeTGW
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We’re excited that NVIDIA Nemotron 3 Super is now supported in OCI Generative AI, giving customers even more powerful options to bring their own models and accelerate real-world innovation on Oracle Cloud. Read the blog to learn more: https://bit.ly/4tgrEtP
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