Running AI Workloads on Rack-Scale Supercomputers: From Hardware to Topology-Aware Scheduling

## Episode Summary In this episode, we cover: - **Running AI Workloads on Rack-Scale Supercomputers: From Hardware to Topology-Aware Scheduling** (nvidia_dev) - [Read more](https://developer.nvidia.com/blog/running-ai-workloads-on-rack-scale-supercomputers-from-hardware-to-topology-aware-scheduling/) - **InferenceX v2: NVIDIA Blackwell Vs AMD vs Hopper - Formerly InferenceMAX** (semianalysis) - [Read more](https://newsletter.semianalysis.com/p/inferencex-v2-nvidia-blackwell-vs) - **Inside NVIDIA Groq 3 LPX: The Low-Latency Inference Accelerator for the NVIDIA Vera Rubin Platform** (nvidia_dev) - [Read more](https://developer.nvidia.com/blog/inside-nvidia-groq-3-lpx-the-low-latency-inference-accelerator-for-the-nvidia-vera-rubin-platform/) - **Dissecting Nvidia Blackwell - Tensor Cores, PTX Instructions, SASS, Floorsweep, Yield** (semianalysis) - [Read more](https://newsletter.semianalysis.com/p/dissecting-nvidia-blackwell-tensor) - **Marvell Scores Another Win After NVIDIA CEO’s Trillion-Dollar Praise, As Google Hands It A Custom Networking Chip For The TPUv8e On Intel’s 18A/18AP Process** (wccftech) - [Read more](https://wccftech.com/marvell-scores-another-win-after-nvidia-ceos-trillion-dollar-praise-as-google-hands-it-a-custom-networking-chip-for-the-tpuv8e-on-intels-18a-18ap-process/) --- *Sponsored by LimitLess AI*