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πŸ—„οΈ Database Sharding

Horizontal Scaling, Partition Strategies, Distributed Databases

This is your reminder that cloud storage has risks β€” here’s what you can do now to avoid data loss
windowscentral.comΒ·2h
βš™Technology
I am building a semantic file search engine using Qwen0.6b with recently released LangExtract tool!
reddit.comΒ·6hΒ·
Discuss: r/LocalLLaMA
πŸ’¬Natural Language Processing
Materialize's Spring Hackathon: A Report
materialize.comΒ·23h
πŸ”—Distributed Systems
Vibe Coding Awareness Month
hellotonic.comΒ·1hΒ·
Discuss: Hacker News
🌐WebAssembly
Building an open source P2P password manager: Looking for collaborators
reddit.comΒ·5hΒ·
Discuss: r/opensource
πŸ“‘gRPC
Scaling the Memory Wall: The Rise and Roadmap of HBM
semianalysis.comΒ·1dΒ·
Discuss: Hacker News
⚑Zero-Copy
The topological properties of the protein universe
nature.comΒ·10h
πŸ’¬Natural Language Processing
Samsung's biggest rival and Sandisk have come together to standardize High Bandwidth Flash memory - which could mean better AI performance for everyone
techradar.comΒ·1d
⚑Zero-Copy
In-NAND Self-Encryption Architecture In A 4D-NAND Structure (DGIST, Georgia Tech Et Al.)
semiengineering.comΒ·1d
⚑Zero-Copy
Qubic Overtakes Monero’s Hash Rate in β€œ51% Takeover Demo,” Showcasing Real-World Power of Useful PoW
hackernoon.comΒ·1d
πŸ”—Distributed Systems
Lightweight ETL with AWS Glue Python Shell, DuckDB, and PyIceberg
dev.toΒ·1hΒ·
Discuss: DEV
πŸ”„Tokio
Core Concepts in Data
dev.toΒ·2dΒ·
Discuss: DEV
πŸ”—Distributed Systems
Unlocking Scalability: A Deep Dive into Mixture of Experts (MoE) for Modern LLMs
dev.toΒ·1dΒ·
Discuss: DEV
πŸ’¬Natural Language Processing
Optimizing Materialized Views Recomputes
databricks.comΒ·2d
πŸ‘οΈObservability
Train and deploy AI models at trillion-parameter scale with Amazon SageMaker HyperPod support for P6e-GB200 UltraServers
aws.amazon.comΒ·1d
πŸ”—Distributed Systems
Replacing developers with GPUs
ayende.comΒ·11h
🌐WebAssembly
Your Software Has Amnesia. It’s Time to Hire One with a Memory.
dev.toΒ·11hΒ·
Discuss: DEV
πŸ”—Distributed Systems
Fed MobiLLM: Efficient Federated LLM Fine-Tuning over Heterogeneous Mobile Devices via Server Assisted Side-Tuning
arxiv.orgΒ·1d
🌍Edge Computing
Redis-Powered Crypto EdTech Content Pipeline: Scraping, Processing & Curation
dev.toΒ·2dΒ·
Discuss: DEV
πŸ”„Tokio
Superfast Low Rank Approximation
arxiv.orgΒ·1d
β™ŸChess Programming
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