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Curated developer articles, tutorials, and guides — auto-updated hourly
Tanay Joshi1d ago • 6 min read
Never lose a training run again: a checkpoint-and-resume playbook for ephemeral GPUs
▶ Prefer to play with it? There's an interactive version of this article where you can break things....
#machinelearning#python#mlops#learning
5 1
SHIVAM UPADHYAY1d ago • 4 min read
Building a Self-Hosted MLOps Platform from Scratch with FastAPI, PostgreSQL, GCS, and Docker
Introduction Over the past few months, I set out to answer a simple question: What does...
#ai#devops#python#mlops
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Marcus Chen2d ago • 4 min read
Harvesting a regression test set from gateway logs with a plugin
TL;DR: Our eval sets went stale because a human wrote the test cases by hand once and never updated....
#mlops#llm#machinelearning#infrastructure
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Gabriel Henrique4d ago • 5 min read
Data Contracts in Production: Stop Trusting Your Upstream Sources
Your upstream data source changed a column type last night. Your pipeline ran at 2am, ingested...
#dataengineering#python#data#mlops
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Todd LinnertzJun 17, 2026 • 4 min read
What DevOps Taught Me About AI Governance
Platform engineers already have the governance instincts AI adoption needs. The gap isn't knowledge....
#devops#aigovernance#platformengineering#mlops
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Suman Nath3d ago • 3 min read
If a 270M Model Already Worked, Why Did I Fine-Tune a 7B One?
Part 4 (finale) of a 4-part series. Three model sizes tied on the same task — so when does bigger ac...
#machinelearning#llm#mlops#ai
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Marcus ChenJun 18, 2026 • 4 min read
Speculative decoding shifted our output distribution and evals missed it
TL;DR: We turned on speculative decoding in vLLM to cut latency on a fine-tuned 8B. Got a 1.9x...
#machinelearning#llm#mlops#pytorch
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Elise Moreau6d ago • 4 min read
The seam our tiled upscaler left on every 4K product render
TL;DR: We tile high-res images through our upscaler because a full 4096×4096 pass blows past 24GB of...
#mlops#computervision#pytorch#machinelearning
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Marcus Chen2d ago • 4 min read
temperature=0 didn't make our LLM evals reproducible
TL;DR: We set temperature=0 and seed=42 and still got different eval scores on the same 800-prompt.....
#machinelearning#llm#mlops#infrastructure
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Marcus ChenJun 17, 2026 • 4 min read
The latency tax of an LLM gateway: I measured Bifrost's overhead
TL;DR: I was skeptical that putting a gateway in front of our LLM calls was worth the added hop. So ...
#mlops#llm#infrastructure#machinelearning
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claire nguyen2d ago • 4 min read
Semantic caching our flaky-test summariser: 58% fewer LLM calls
TL;DR: Our internal flaky-test summariser at Buildkite was firing ~40k LLM calls a day, and most wer...
#sre#devops#llm#mlops
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Marco RinaldiJun 17, 2026 • 4 min read
Winograd convolutions cost us 2 mAP and we didn't notice for a month
TL;DR: We turned on Winograd convolution to shave latency off a pedestrian detector running on a...
#computervision#pytorch#machinelearning#mlops
1 1
Marcus Chen6d ago • 4 min read
Perplexity held flat after INT4. Task accuracy dropped 7 points.
TL;DR: We quantized a fine-tuned 14B agent model to INT4 with GPTQ. Perplexity moved 0.04. We almost...
#machinelearning#llm#mlops#pytorch
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Elise Moreau2d ago • 4 min read
The SDXL VAE overflow that decoded black images in fp16
TL;DR: The SDXL VAE decoder pushes activations past 65504, the max value fp16 can hold, so the last....
#pytorch#computervision#machinelearning#mlops
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Dishant SethiJun 18, 2026 • 8 min read
LLMOps in 2026: AI Demo to Production Guide
Key Takeaways LLMOps is the engineering discipline that takes an AI system from a working demo to....
#ai#llmops#kubernetes#mlops
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Rajiv SambasivanJun 17, 2026 • 3 min read
From ML Tooling to Analytical Governance: Recent Updates to KMDS
Over the last few months I've been refining KMDS, a framework for building repeatable and auditable....
#ai#productivity#python#mlops
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The Cyber SidekickJun 17, 2026 • 4 min read
AI Workloads Are Reshaping Kubernetes in 2026: GPU Scheduling, MLOps, and the Platform Engineering Reckoning
GPU scheduling, MLOps platforms, and platform engineering strategies for AI workloads on Kubernetes ...
#kubernetes#gpuscheduling#mlops#platformengineering
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Sahajmeet Kaur5d ago • 7 min read
Portkey Alternative: I Switched Away from Portkey. Here's the Honest Reason Why.
I ran Portkey in production for six months and genuinely liked it — until the acquisition, the cost ...
#ai#llm#devops#mlops
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Naveen MalothuJun 18, 2026 • 2 min read
Streamlining MLOps: Model Deployment with MLflow
Learn how to streamline MLOps with MLflow, including model deployment, management, and monitoring. D...
#mlops#machinelearning#python
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Sahajmeet KaurJun 17, 2026 • 8 min read
AI Gateway Comparison 2026: Kong, Portkey, LiteLLM, and TrueFoundry
We evaluated Kong, Portkey, LiteLLM, and TrueFoundry for a multi-team LLM setup. Here's what actuall...
#llm#ai#mlops#devops
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Marcus Chen1d ago • 4 min read
Benchmarking 5 LLM providers on one eval set, no SDK per vendor
TL;DR: We run a 1,200-case eval suite for enterprise agent automation at Nexus Labs. Comparing model...
#machinelearning#llm#mlops#devops
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Naveen Malothu5d ago • 2 min read
Exploring Midjourney Medical: Revolutionizing Healthcare with AI
Discover the potential of Midjourney Medical in revolutionizing healthcare with AI-generated medical...
#ai#machinelearning#mlops
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James Sanderson3d ago • 3 min read
Scaling Industrial Intelligence: Architectural Patterns from a Machine Learning Development Company
While traditional software engineering relies on static, rule-based logical structures, modern...
#ai#mlops#machinelearning#deeplearning
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joseph quesada2d ago • 8 min read
Real-time AI: Build Your Live Data Stack for Performance
Unlock real-time intelligence for your AI campaigns and applications. This post details how to build
#aiinfrastructure#realtimedata#dataengineering#mlops
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