Join us

ContentUpdates and recent posts about vLLM..
ย Activity
@alihenryofficial started using tool SAP Commerce Cloud , 1ย month, 2ย weeks ago.
ย Activity
@alihenryofficial started using tool Google Publisher Tag , 1ย month, 2ย weeks ago.
Story
@laura_garcia shared a post, 1ย month, 2ย weeks ago
Software Developer, RELIANOID

๐—ฒ๐—ป๐—ฎ๐—ฏ๐—น๐—ฒ ๐—ฆ๐—ฒ๐—ฐ๐˜‚๐—ฟ๐—ฒ ๐—•๐—ผ๐—ผ๐˜ ๐—ถ๐—ป ๐—ฅ๐—˜๐—Ÿ๐—œ๐—”๐—ก๐—ข๐—œ๐—— ๐—˜๐—ป๐˜๐—ฒ๐—ฟ๐—ฝ๐—ฟ๐—ถ๐˜€๐—ฒ ๐—˜๐—ฑ๐—ถ๐˜๐—ถ๐—ผ๐—ป

๐—ฆ๐—ฒ๐—ฐ๐˜‚๐—ฟ๐—ฒ ๐—•๐—ผ๐—ผ๐˜ + ๐—ฅ๐—˜๐—Ÿ๐—œ๐—”๐—ก๐—ข๐—œ๐—— = ๐˜ด๐˜ต๐˜ณ๐˜ฐ๐˜ฏ๐˜จ๐˜ฆ๐˜ณ ๐˜ต๐˜ณ๐˜ถ๐˜ด๐˜ต from the very first instruction executed. Here's a practical guide on ๐—ต๐—ผ๐˜„ ๐˜๐—ผ ๐—ฒ๐—ป๐—ฎ๐—ฏ๐—น๐—ฒ ๐—ฆ๐—ฒ๐—ฐ๐˜‚๐—ฟ๐—ฒ ๐—•๐—ผ๐—ผ๐˜ ๐—ถ๐—ป ๐—ฅ๐—˜๐—Ÿ๐—œ๐—”๐—ก๐—ข๐—œ๐—— ๐—˜๐—ป๐˜๐—ฒ๐—ฟ๐—ฝ๐—ฟ๐—ถ๐˜€๐—ฒ ๐—˜๐—ฑ๐—ถ๐˜๐—ถ๐—ผ๐—ป using the standard shim + MOK approach. ๐Ÿ” Whatโ€™s inside: - Why Secure Boot canโ€™t be enabled on first install - Step-by-step MOK enr..

ย Activity
@sanjayjoshi gave ๐Ÿพ to How To Make a Fast Dynamic Language Interpreter , 1ย month, 2ย weeks ago.
ย Activity
Story Trending
@laura_garcia shared a post, 1ย month, 2ย weeks ago
Software Developer, RELIANOID

๐—›๐—ฎ๐—ฐ๐—ธ ๐—ฆ๐—ฝ๐—ฎ๐—ฐ๐—ฒ ๐—–๐—ผ๐—ป ๐Ÿฎ๐Ÿฌ๐Ÿฎ๐Ÿฒ

๐Ÿš€ ๐—›๐—ฎ๐—ฐ๐—ธ ๐—ฆ๐—ฝ๐—ฎ๐—ฐ๐—ฒ ๐—–๐—ผ๐—ป ๐Ÿฎ๐Ÿฌ๐Ÿฎ๐Ÿฒ ๐Ÿ“ Kennedy Space Center ๐Ÿ“… May 6โ€“9, 2026 ๐™’๐™๐™š๐™ง๐™š ๐™˜๐™ฎ๐™—๐™š๐™ง๐™จ๐™š๐™˜๐™ช๐™ง๐™ž๐™ฉ๐™ฎ ๐™ข๐™š๐™š๐™ฉ๐™จ ๐™จ๐™ฅ๐™–๐™˜๐™š ๐™ž๐™ฃ๐™ฃ๐™ค๐™ซ๐™–๐™ฉ๐™ž๐™ค๐™ฃ. Hack Space Con is not your typical event โ€” itโ€™s where cybersecurity, aerospace, and advanced technologies converge to shape the future of security beyond Earth. ๐Ÿ” ๐—ช๐—ต๐—ฎ๐˜ ๐˜๐—ผ ๐—ฒ๐˜…๐—ฝ๐—ฒ๐—ฐ๐˜: - Hands-on techn..

HACKSPACECON2026_florida_RELIANOID
Link
@varbear shared a link, 1ย month, 2ย weeks ago
FAUN.dev()

A Couple Million Lines of Haskell: Production Engineering at Mercury

Mercury runs ~2M lines ofHaskellin production. They choseTemporalto replace cron and DB-backed state machines. Durable workflows replace brittle coordination. They open-sourced aHaskellSDK forTemporal, wired inOpenTelemetryhooks, and pushed records-of-functions plus domain-error types... read more ย 

A Couple Million Lines of Haskell: Production Engineering at Mercury
Link
@varbear shared a link, 1ย month, 2ย weeks ago
FAUN.dev()

Agentic Coding is a Trap

AI-driven coding agents are the hot new trend, but beware of the trade-offs: increased complexity, skills atrophy, vendor lock-in, and fluctuating costs. Only skilled developers can spot issues in the vast lines of generated code, but paradoxically, AI tools are impacting critical thinking skills ne.. read more ย 

Agentic Coding is a Trap
Link
@varbear shared a link, 1ย month, 2ย weeks ago
FAUN.dev()

When upserts don't update but still write: Debugging Postgres performance at scale

The Datadog team introduced a new upsert query to track inactive hosts, but it unexpectedly increased disk writes and WAL syncs due to row locking. By digging into Postgres's Write-Ahead Logging (WAL) and rewriting the query using a Common Table Expression (CTE), they avoided unnecessary overhead an.. read more ย 

vLLM is an advanced open-source framework for serving and running large language models efficiently at scale. Developed by researchers and engineers from UC Berkeley and adopted widely across the AI industry, vLLM focuses on optimizing inference performance through its innovative PagedAttention mechanism โ€” a memory management system that enables near-zero waste in GPU memory utilization. It supports model parallelism, continuous batching, tensor parallelism, and dynamic batching across GPUs, making it ideal for real-world deployment of foundation models. vLLM integrates seamlessly with Hugging Face Transformers, OpenAI-compatible APIs, and popular orchestration tools like Ray Serve and Kubernetes. Its design allows developers and enterprises to host LLMs with reduced latency, lower hardware costs, and increased throughput, powering everything from chatbots to enterprise-scale AI services.