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ExternalSoftware Engineering
Meta Engineering

MetaRoCE: A New RDMA Transport Built for AI-Scale Ethernet

Training and serving frontier AI models depends on fast, reliable networks that move data between GPUs without wasting compute cycles.  To meet this challenge at scale, Meta designed MetaRoCE – a clean-sheet RDMA transport protocol purpose-built for AI workloads on commodity Ethernet.  We’re releasing the MetaRoCE specification, a reference software implementation and a compliance test [...] Read More... The post MetaRoCE: A New RDMA Transport Built for AI-Scale Ethernet appeared first on Engine

Data Center EngineeringData InfrastructureNetworking & Traffic
Meta EngineeringRead original
ExternalMobile Development
Apple Developer News

Update: New domain for Sign in with Apple

Starting later this year, new Sign in with Apple addresses, previously issued on privaterelay.appleid.com, will be issued on private.icloud.com. Existing addresses on privaterelay.appleid.com will continue to work and forward mail to users without interruption. After further consideration and reviewing community feedback, iCloud+ Hide My Email addresses will remain on icloud.com. What you need to do Developers with apps or websites that use Sign in with Apple should ensure that their account s

Apple Developer NewsRead original
ExternalSoftware Engineering
DZone

Text Analysis Without a Backend: Replacing an LLM Call With Intl.Segmenter and 60 Lines of JavaScript

Last spring, I had six small text features to build: flag filler phrases in a draft, score sentence-length variation, format a citation, check a document against a rubric. My first design put all six behind an API route that called a model. It worked in an afternoon. Then I priced it. Anthropic lists Claude Fable 5 at $10 per million input tokens and $50 per million output. A 700-word draft plus instructions runs about 1,500 input tokens, and users hit the button five or six times per session wh

DZoneRead original
ExternalSoftware Engineering
Meta Engineering

MTIA 300: Meta’s First Training Chip with Built-in NICs and Communication-Offloading Engines

MTIA 300 is the first of Meta’s family of in-house training and inference accelerators optimized for training ranking and recommendation models. We’re sharing how MTIA 300’s built-in NIC chiplets allow it to meet the communication needs associated with training recommendation models with superior performance over general-purpose GPUs. By co-designing MTIA’s communication library, HCCL, alongside the [...] Read More... The post MTIA 300: Meta’s First Training Chip with Built-in NICs and Communica

Data InfrastructureDevInfraNetworking & Traffic
Meta EngineeringRead original
External
The Hacker News

Shipping More AI Code Than You Can Secure? Watch How to Control Remediation Debt

If your developers are using AI coding tools, you are probably already seeing the upside: faster development, more code, and less time spent on routine work. The harder part is what comes after. AI can also introduce open-source packages at a pace your security team was never built to handle. More dependencies mean more vulnerabilities to review, more remediation work, and a backlog that can

The Hacker NewsRead original

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