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Condor Currents · August 27

FLINT: Efficiently Leveraging High Bandwidth Flash for Capacity-Scalable LLM Inference Acceleration

## Episode Summary In this episode, we cover: - **FLINT: Efficiently Leveraging High Bandwidth Flash for Capacity-Scalable LLM Inference Acceleration** (arXiv) - **Squeezing the Cache, Preserving the Truth: Monotonic Equipotential Allocation with Geodesia-KV** (arXiv) - **How Cache Coherency Simplifies AI Software** (semiengineering) - **Arm Reveals AGI Server CPU Architecture at Hot Chips, Targeting Agentic AI Workloads - finance.biggo.com** (google_arch) - **Security Researchers Find Current RISC-V CPU Implementations Coming Up Short - Phoronix** (google_riscv) --- *Sponsored by Ada, Ago Consulting, and Zen Semiconductor*

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## Episode Summary
In this episode, we cover:
- **FLINT: Efficiently Leveraging High Bandwidth Flash for Capacity-Scalable LLM Inference Acceleration** (arXiv)
- **Squeezing the Cache, Preserving the Truth: Monotonic Equipotential Allocation with Geodesia-KV** (arXiv)
- **How Cache Coherency Simplifies AI Software** (semiengineering)
- **Arm Reveals AGI Server CPU Architecture at Hot Chips, Targeting Agentic AI Workloads - finance.biggo.com** (google_arch)
- **Security Researchers Find Current RISC-V CPU Implementations Coming Up Short - Phoronix** (google_riscv)
---
*Sponsored by Ada, Ago Consulting, and Zen Semiconductor*

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