# HBM insights

Rangoon Insights reporting and guides tagged HBM.

Canonical: https://rangoon.ai/insights/tags/hbm/

## Topics
- [Agent systems](https://rangoon.ai/insights/topics/agents/): Agent runtimes, handoffs, tools, and the boundaries that make them reviewable.
- [Governance](https://rangoon.ai/insights/topics/governance/): Policy, identity, authorization, approvals, and evidence for consequential work.
- [Infrastructure](https://rangoon.ai/insights/topics/infrastructure/): Model serving, sandboxes, tool services, and deployment boundaries.
- [Models](https://rangoon.ai/insights/topics/models/): Inference choices, local serving, compatibility, and operational tradeoffs.

## Stories
- [NVIDIA’s memory codesign post highlights a practical boundary between capacity and usable agent throughput](https://rangoon.ai/insights/nvidia-memory-full-stack-codesign-2026/)
  NVIDIA’s November memory overview frames HBM, KV cache and retrieval data as a hierarchy; operators still need workload-level measurement before capacity claims.
- [Micron’s Singapore HBM packaging groundbreaking set a future supply timetable](https://rangoon.ai/insights/archive-micron-singapore-hbm-packaging-groundbreaking-january-2025/)
  Micron broke ground on a Singapore HBM packaging facility on January 8, 2025, with a roughly $7 billion investment, 2026 operations target and 2027 capacity plan.
- [TSMC’s 2025 CoWoS disclosure framed packaging as a planned capacity constraint](https://rangoon.ai/insights/archive-tsmc-cowos-capacity-planning-2025/)
  TSMC’s 2025 reporting described CoWoS linking logic and HBM and investment for structural demand. Packaging planning needs demand, output, capacity, and allocation evidence.


## More information

- [Documentation index](https://rangoon.ai/llms.txt)
- [AI access and policies](https://rangoon.ai/ai/)
- [Source repository](https://github.com/hypler-dev/rangoon)