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@kala shared a link, 1 month, 3 weeks ago
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Why GPUs accelerate AI learning: The power of parallel math

Modern AI eats GPUs for breakfast - training, inference, all of it. Matrix ops? Parallel everything. Models like LLaMA don’t blink without a gang of H100s working overtime... read more  

Why GPUs accelerate AI learning: The power of parallel math
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@kala shared a link, 1 month, 3 weeks ago
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New trend: Programming by kicking off parallel AI agents

Senior engineers are starting to spin upparallel AI coding agents- think Claude Code, Cursor, and the like - to run tasks side by side. One agent sketches boilerplate. Another tackles tests. A third refactors old junk. All at once. Is it "multitasking on steroids"? Not just this as it messes with ho.. read more  

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@kala shared a link, 1 month, 3 weeks ago
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Agentic AI and Security

Agentic LLM apps come with a glaring security flaw: they can't tell the difference between data and code. That blind spot opens the door to prompt injection and similar attacks. The fix? Treat them like they're radioactive. Run sensitive tasks in containers. Break up agent workflows so they never ju.. read more  

Agentic AI and Security
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@devopslinks shared a link, 1 month, 3 weeks ago
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More Than DNS: The 14 hour AWS us-east-1 outage

AWS’s us-east-1 faceplanted for 14 hours after arace conditioninDynamoDBkicked off a DNS meltdown, taking down 140 services. EC2 buckled under acongestive collapse, overwhelmed by a backup in DropletWorkflow Manager queues. Meanwhile, NLB health checks kept firing blanks - tricked by stale network s.. read more  

More Than DNS: The 14 hour AWS us-east-1 outage
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@devopslinks shared a link, 1 month, 3 weeks ago
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How We Saved $500,000 Per Year by Rolling Our Own “S3”

Nanit ditched S3’s PutObject-heavy ingest path and built a customRust-based in-memory landing zone (N3). It cut ~$500K/year in storage ops. N3 grabs short-lived video chunks straight into RAM and only spills to S3 when it has to. Ordering stays tight thanks toSQS FIFO, and fallback kicks in clean wh.. read more  

How We Saved $500,000 Per Year by Rolling Our Own “S3”
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@devopslinks shared a link, 1 month, 3 weeks ago
FAUN.dev()

You already have a git server

A plain-oldgit repo on an SSH-accessible servercan double as a lean deployment rig. Drop in somegit hooks- like apost-receive- and every push can kick off static site builds or publish code on the spot. No extra tools. Just Git doing Git things. Turns basic Git infra into a no-frills CI/CD pipeline... read more  

News FAUN.dev() Team
@kala shared an update, 1 month, 3 weeks ago
FAUN.dev()

AWS Unveils Project Rainier: Massive AI Cluster with Trainium2 Chips

Amazon Web Services

AWS has launched Project Rainier, a massive AI compute cluster with nearly half a million Trainium2 chips, in collaboration with Anthropic to advance AI infrastructure and model development.

AWS Unveils Project Rainier: Massive AI Cluster with Trainium2 Chips
News FAUN.dev() Team
@devopslinks shared an update, 1 month, 3 weeks ago
FAUN.dev()

Amazon Apologizes for Major AWS Outage in US-EAST-1 Region

Amazon EC2 Amazon ELB Amazon Web Services

Amazon apologized for a major AWS outage in the Northern Virginia region, caused by a race condition in the DynamoDB DNS management system, affecting services like DynamoDB, Network Load Balancer, and EC2.

Amazon Apologizes for Major AWS Outage in US-EAST-1 Region
News FAUN.dev() Team Trending
@varbear shared an update, 1 month, 3 weeks ago
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AI Takes Over GitHub: TypeScript Tops the Charts as 36 Million New Developers Join the Platform

Docker TypeScript vLLM GitHub Copilot Python

In 2025, GitHub saw a surge in growth with AI advancements, as TypeScript overtook Python and JavaScript in popularity, fueled by the release of GitHub Copilot Free and a global developer expansion.

AI Takes Over GitHub: TypeScript Tops the Charts as 36 Million New Developers Join the Revolution
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@kala added a new tool vLLM , 1 month, 3 weeks ago.
Arti is an official Tor Project initiative to rewrite the Tor client stack in Rust. Its primary goal is to address long-standing safety, reliability, and maintainability challenges inherent in the legacy C-based Tor implementation. By leveraging Rust’s strong compile-time guarantees for memory safety and concurrency, Arti eliminates entire classes of bugs that have historically affected Tor, including many security vulnerabilities.

Arti is architected as a modular, embeddable library rather than a monolithic application. This makes it easier for developers to integrate Tor networking capabilities directly into other applications, services, and platforms. From its earliest versions, Arti has supported multi-core cryptography, cleaner APIs, and a more maintainable internal design.

While early releases focused on client functionality such as bootstrapping, running as a SOCKS proxy, and routing traffic over the Tor network, the long-term roadmap includes full feature parity with the existing Tor client, support for onion services, anti-censorship mechanisms, and eventually Tor relay functionality. Arti represents the future foundation of the Tor ecosystem, prioritizing long-term security, developer velocity, and adaptability.