Blog
1500+ articles — Page 61 of 63
Automating RHEL AI Deployments with Ansible and GitOps
Implement Infrastructure as Code for AI workloads using Ansible playbooks, GitOps workflows, and CI/CD pipelines to achieve repeatable, auditable RHEL AI.
7 min read
RHEL AI Community: Resources, Support, and Getting Involved
Navigate the RHEL AI ecosystem with official documentation, community forums, InstructLab contributions, and enterprise support channels, based on.
5 min read
Response Hit the Length Limit: Shipping with Claude
That dreaded length-limit message isn't a failure — it's a signal. Here's how to prompt Claude Opus 4.5 in Copilot so you get full, usable output instead of.
2 min read
The Future of RHEL AI: Emerging Trends and Innovations
Explore emerging trends in enterprise AI including edge deployments, explainable AI, carbon-aware scheduling, and multi-agent orchestration, based on.
4 min read
RHEL AI Use Cases: Real-World Enterprise Applications
Explore proven RHEL AI use cases including underwriting classification, multilingual chatbots, RAG pipelines, and edge sentiment analysis, based on.
5 min read
ProteinLens: 4M Lines of Code and node_modules
A quick post-mortem on why cloc reported 4 lines in a full-stack app. Build artifacts, gitignore, and what lines of code actually measure.
5 min read
Just Add Auth Turns into AAA, RBAC and Pain
Auth isn’t one thing. It’s AAA (authentication, authorization, accounting), plus RBAC, scoping, and a clear token contract.
8 min read
GitHub Actions is great — until you hit the budget wall
ProteinLens CI/CD did not fail with a red build, it did not start at all. How GitHub Actions minute exhaustion silently killed our deployment pipeline.
3 min read
GitHub Copilot Business vs Claude Opus 4.5 Costs
I went full vibe coding with Copilot Business and Claude Opus 4.5 and ended up at 418 percent premium requests. Lessons in AI-assisted development costs.
6 min read
Securing AI Workloads with SELinux on RHEL
Implement enterprise-grade security for AI workloads using SELinux policies, container isolation, and secure model serving on RHEL AI.
9 min read
Entra External ID Nearly Derailed My MVP
I tried implementing Microsoft Entra External ID expecting an easy B2C setup with a future path to B2B and SSO. Here is what actually happened.
6 min read
Copilot is great — until you do real-world programming
While implementing 429 handling (rate-limit UX) for ProteinLens authentication, my AI coding assistant hit me with its own 429: token usage rate_limited.
7 min read
AI is fast — until the database becomes the bottleneck
ProteinLens shipped quickly with AI-assisted coding, but production failures came from the boring layer: Key Vault references, stale app settings, Prisma.
7 min read
ProteinLens: Vibe Coding on Azure and Quota Chaos
A behind-the-scenes build log of an AI meal-photo MVP on Azure (Static Web Apps, Functions, PostgreSQL, AI Foundry) — plus the real lessons from quotas,.
4 min read
RAG Implementation Patterns on RHEL AI
Build production-ready Retrieval-Augmented Generation systems on RHEL AI using vector databases, embedding models, and intelligent retrieval strategies.
10 min read
DeepSpeed Optimization for RHEL AI Training
Master DeepSpeed ZeRO 3 and MiCS communication scaling to accelerate model training on Red Hat Enterprise Linux, based on Practical RHEL AI Chapter 4.
4 min read
Model Evaluation and Benchmarking on RHEL AI
Comprehensive guide to evaluating and benchmarking fine-tuned models on RHEL AI using MMLU, custom evaluation suites, and production metrics.
9 min read
Multi-GPU Training RHEL AI: NCCL and
Fix NCCL_TIMEOUT errors and scale multi-GPU training on RHEL AI. Covers data parallelism, model parallelism, NCCL environment variables, and distributed.
8 min read
Synthetic Data Generation with InstructLab SDG
Master the art of generating high-quality synthetic training data using InstructLab's SDG pipeline on RHEL AI, covering teacher models, data pipelines, and.
8 min read
NFSoRDMA on Dell EMC PowerScale OneFS for OpenShift
Use NFS over RDMA (NFSoRDMA) with PowerScale OneFS to reduce latency and CPU overhead for shared storage in OpenShift—especially for data-hungry AI/HPC.
5 min read
OpenShift Networking with SR-IOV, RDMA and NVIDIA
Learn why SR-IOV and RDMA matter for GPU/HPC workloads on OpenShift, and how the NVIDIA Network Operator helps you deploy a fast, low-latency data plane.
6 min read
Production-Ready RHEL AI: From Development to Enterprise...
Deploy RHEL AI models at enterprise scale with Terraform, OpenShift manifests, Ansible playbooks, and policy-as-code gates, based on Practical RHEL AI.
13 min read
SR-IOV + NVIDIA vs Intel NIC: Driver Collision
How competing kernel modules (often auxiliary) can break networking when OFED/DOCA meets ice/i40e. Learn what's colliding and how to fix it.
3 min read
The Four Faces of Modern AI
From RAG to strategic systems that don't just talk — they operate. Understanding the evolution from chatbots to AI systems that retrieve, interpret, act, and.
6 min read