MLOps

model deployment, inference, ML pipelines, LLM serving

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Scoured 150 posts in 5.5 ms

Architecturally Significant MLOps Guidelines for ML Model Integration and Deployment: a Gray Literature Review

 🧠LLMs  Content type: Academic
arxiv.org·

Inferoa AI harness claimed 90% cache savings. We ran it and measured 97.8%

 🧠LLMs
zozo123.github.io··Hacker News

NetX-lab/Frontier: Frontier: A Discrete-Event Simulator for Modern LLM Serving

 🧠LLMs  Content type: Code
github.com··Hacker News

DeepSeekV4 1.6T Day 0 to Day 43 Performance Over Time - Huawei, GB300 NVL72, MI355X, B200

 🧠LLMs  Content type: News

google/gemma-4-31B-it · fix: chat template — null handling, reasoning preservation, turn-tag balance, input validation

 🧠LLMs

AI Serving Platform That Adapts to Your Model

 🧠LLMs  Content type: Blog
databricks.com·

SDLC vs. AIDLC: Why Data Engineering is Pushing the Boundaries of Software Development

 🏗️Software Architecture  Content type: Blog
medium.com·

Predicting the World Cup Winner: Live Coding with Hopswor...

 🚀Indie Hacking
hopsworks.ai··Hacker News

When your data model is the bottleneck: lessons from Medium’s feature store

 🧠LLMs
thenewstack.io·

I Processed 2.4 Billion Tokens Across 52 AI Models for $0.52. Here's the Full Breakdown.

 🤖AI Agents
saintlex.sbs··DEV

Configure input guardrails for an OpenShift AI voice agent

 🧠LLMs
developers.redhat.com·

Agent-as-a-Code in Databricks for Production

 ✍️Prompt Engineering  Content type: Blog
medium.com·

15 years of Software Center – A Look in the Mirror and over the Front Windshield

 🏗️Software Architecture  Content type: Blog
metrics.blogg.gu.se·

Real-time fraud detection for financial transactions

 🌐Distributed Systems  Content type: Blog
redis.io·

The Hidden Tax Killing Your ML Team’s Velocity – And the Architecture Decision That Fixes It

 🧠LLMs  Content type: Blog
medium.com·

New comment by HorizonFlowLive in "Ask HN: Who wants to be hired? (June 2026)"

 🤖AI Agents  Content type: Discussion

AMD's Lemonade SDK For Local AI Adds NVIDIA CUDA Support

 🧠LLMs
phoronix.com··r/artificial

2x GH200 for LLM inference, Part 2: vLLM, DeepSeek V4 Flash, and MTP

 🧠LLMs  Content type: Blog
dnhkng.github.io·

Monitor Nebius AI Cloud with Datadog

 🤖AI Agents  Content type: Blog
datadoghq.com·

How We Built a Rolling-Window Feature Store for Telecom Churn Prediction at Scale

 🧠LLMs  Content type: Blog
medium.com
·

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