Drishvada

Topic

High-Performance Computing (HPC)

All digests tagged High-Performance Computing (HPC)

Suggested route

Topic journey

Move from earlier context through the available material to the newest signals. This route is a reading aid, not a difficulty ranking.

Start here

The Future of AI Infra: from Kubernetes to Agent Sandboxes — Akshat Bubna, Modal CTO Jul 8, 2026 · 59:10 Modal CTO Akshat Bubna details how AI workloads break traditional cloud assumptions. He discusses specialized primitives like GPU snapshotting, private IPv6, and DeFlash to enable elastic inference for custom models.

Build context

Can LLMs Write Fast Multi-GPU Kernels? — Simran Arora, Together AI Aug 27, 2026 · 30:00 Multi-GPU AI workloads are bottlenecked by communication links. The speaker introduces ParallelKittens, primitives that simplify high-performance kernel writing. A benchmark tests if LLMs can generate optimized CUDA kernels for complex multi-GPU patterns. The Inference Frontier: from 100 to 10,000 tokens per second — Sean Lie, Cerebras CTO Sep 2, 2026 · 44:03 Cerebras CTO Sean Lie discusses how ultra-fast inference (up to 10,000 TPS) is enabling new AI capabilities. He details CS4 and the roadmap for CS5, emphasizing wafer scale architecture and heterogeneous system design. Faster Chips That Don't Melt — Anima Anandkumar & Benedikt Jenik, Accelerated Understanding Sep 4, 2026 · 27:02 Accelerated Understanding is building a foundation model for the physical world, applying LLM universality to physics. They achieve unprecedented scale with neural operators and self-improvement via physical laws.

Recent signals

Keep It Secret, Keep It Safe: How IBM Deploys Sensitive Data and Workloads on CoreWeave Oct 9, 2026 · 35:05 IBM details its journey deploying sensitive AI workloads on CoreWeave, focusing on scaling H100/GB200 clusters and implementing 'federation first' identity controls to meet stringent security and compliance needs. Scaling in the Agentic Era with NVIDIA Vera Rubin NVL72 Oct 7, 2026 · 24:38 The session details how CoreWeave uses the NVIDIA Vera Rubin NVL72 platform to scale AI workloads. Innovations like Racky and Valve, combined with RLCC automation, ensure reliable, high-density, liquid-cooled compute environments. GPU Died. Training Didn't: Self-Healing Training at Scale — Crusoe Oct 3, 2026 · 16:54 Discover how Crusoe built Managed Slurm on Kubernetes to achieve self-healing AI training at scale. Learn how AutoClusters automatically remediates GPU failures, ensuring continuous training with zero human intervention.

Browse view