💾 HBM - hello · Scour

Advancing AI performance with HBM4, SPHBM4 DRAM solutions 🌊Memory Bandwidth

edn.com·5d

RTX 5060 and 5060 Ti will get more memory, but a weaker bus 🌊Memory Bandwidth

en.gamegpu.com·4h

20260323_heterogeneous_integration_en ⚡LMAX Disruptor

dev.to·9h·DEV

Valve's VRAM Hack Could Save Millions of 8GB GPU Owners From Stutters 🌊Memory Bandwidth

hothardware.com·1d

The Security Debt Behind NVIDIA's GH200: What the Marketing Materials Won't Tell You 🛡️AMD SEV

digitaliziran.si·2d·Hacker News

AI Memory: Ignore The FUD - This Is A Supercycle (NASDAQ:MU) 🔄Hardware Transactional Memory

seekingalpha.com

·21h

Sparsity-Aware Roofline Models for Sparse Matrix-Matrix Multiplication 🔢Sparse Matrices

arxiv.org·5d

GPU Rowhammer Attacks Beyond Data Corruption (U. of Toronto) 🔐Hardware Security

semiengineering.com·1d

447 Terabytes per Square Centimetre at Zero Retention Energy: Non-Volatile Memory at the Atomic Scale on Fluorographane 💾PMem Programming

zenodo.org·2d·Hacker News, r/hardware

Dell PowerEdge R770AP Review: Dell’s Purpose-Built Answer for Latency-Sensitive Workloads ⚡Intel TSX

storagereview.com·6d

Hudbay Minerals (HBM) Successfully Executing Capital Structure Discipline 💓PHI Accrual

finance.yahoo.com·5d

Camtek- An Enticing HBM Opportunity, But Better Off On The Watchlist For Now (NASDAQ:CAMT) ⚡Intel TSX

seekingalpha.com

·7h

HBM4 Didn't Break the Memory Wall 🌊Memory Bandwidth

dev.to·6d·DEV

HybridKV: Hybrid KV Cache Compression for Efficient Multimodal Large Language Model Inference 🤖TVM

arxiv.org·6d

Micron: The Peak Everyone Sees Isn’t There (NASDAQ:MU) ⚙️LMAX Architecture

seekingalpha.com

·1d

Micron Technology: I'm Buying And Not Looking Back (NASDAQ:MU) 🎛️Microcontrollers

seekingalpha.com

·2d

TurboQuant: How a Simple Spin Saves Gigabytes of GPU Memory ↔️SIMD Horizontal Operations

dev.to·5d·DEV

Top-K Retrieval with Fixed-Size Linear-Attention Completion: Backbone- and KV-Format-Preserving Attention for KV-Cache Read Reduction 🧮Vector Databases

arxiv.org·6d

GRASS: Gradient-based Adaptive Layer-wise Importance Sampling for Memory-efficient Large Language Model Fine-tuning 📱Edge AI

arxiv.org·4d

Efficient Inference for Large Vision-Language Models: Bottlenecks, Techniques, and Prospects 📱Edge AI

arxiv.org·6d

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