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Articles 185,893Blog Posts 168,951Tech Tutorials 49,786Research Papers 36,210News 22,932
⚡ AI Lessons

Dev.to · xbill
4h ago
Plain Gemma 4 26B vs Jev on One EC2 L4: 2.1 Points Behind Overall, Level on Yes/No, 4.5 Behind on Multiple Choice
Plain Gemma 4 26B read by its label probabilities against DiffusionGemma's one-step read, both as community 4-bit (AWQ) builds on one EC2 L4, on 1,200 labelled

Dev.to · xbill
4h ago
Plain Gemma 4 26B vs Jev on One EC2 L4: 2.1 Points Behind Overall, Level on Yes/No, 4.5 Behind on Multiple Choice
Plain Gemma 4 26B read by its label probabilities against DiffusionGemma's one-step read, both as community 4-bit (AWQ) builds on one EC2 L4, on 1,200 labelled

Dev.to · xbill
1d ago
What Nobody Is Using in Your Google Cloud Projects, and What It Costs
A local-first CLI that scans Google Cloud projects for unused resources, prices each one from the Cloud Billing Catalog API, and drafts the cleanup. One call pe

Dev.to · xbill
2d ago
Put the Arithmetic in the Tool: an MCP Server for an AWS Waste Scanner
A cost report gets read twice: once by a person in a terminal, once by an agent through an MCP server. Making the server compute every total instead of handing

Dev.to · xbill
3d ago
One Iceberg MCP Server, Seven Catalogs: What It Takes to Reach Each One
Step by step: one Python MCP server with four read-only Apache Iceberg tools, pointed at Polaris, BigLake, OneLake, Glue, S3 Tables and Horizon by changing one

Dev.to · xbill
3d ago
One Iceberg MCP Server, Seven Catalogs: What It Takes to Reach Each One
Step by step: one Python MCP server with four read-only Apache Iceberg tools, pointed at Polaris, BigLake, OneLake, Glue, S3 Tables and Horizon by changing one

Dev.to · xbill
5d ago
It's Got What Content Craves: Sanity, Built for the People of Idiocracy
An agent proposes watering the crops, a human Cabinet approves in a picture-button Studio, and Sanity Workflows waters and harvests. Plus a stopwatch on three w

Dev.to · xbill
🔧 Backend Engineering
1w ago
A 4 GB Laptop GPU Beats a 12-Core CPU by 4.3x on Gemma 4
Serving Gemma 4 E2B q4_0 through llama.cpp on one laptop, twice: CPU-only and on a 2021-era 4 GB GTX 1650 Ti. Same GGUF, same binary, same prompts, one flag apa

Dev.to · xbill
📰 AI News & Updates
1w ago
Four Iceberg Tools, Three Agent Frameworks: What Ports, and What Doesn't
Four read-only Apache Iceberg tools bound into Google ADK, AWS Strands and Microsoft Agent Framework, run against five catalogs, 360 timed runs. Building the ag

Dev.to · xbill
🧬 Deep Learning
3w ago
Three Gemma 4 Deployments on One T4G for Under $3: What the Runtime Changes, and What It Doesn't
vLLM, JAX and PyTorch serving the same Gemma 4 E2B checkpoint on the same AWS G5g GPU, on one harness and one statistic. The decode ranking reverses on boot tim

Dev.to · xbill
🧬 Deep Learning
3w ago
Three Gemma 4 Deployments on One T4G for Under $3: What the Runtime Changes, and What It Doesn't
vLLM, JAX and PyTorch serving the same Gemma 4 E2B checkpoint on the same AWS G5g GPU, on one harness and one statistic. The decode ranking reverses on boot tim

Dev.to · xbill
📰 AI News & Updates
3w ago
Streamline Publishing with a Claude Code Skill
A Claude Code skill that turns one markdown file into dev.to, AWS Builder Center, Medium and LinkedIn versions, checks them before they ship, and posts the ones

Dev.to · xbill
☁️ DevOps & Cloud
3w ago
g5g vs g6 for LLM Serving: the Same Code, and 3.7x the Throughput
Serving Gemma 4 E2B in pure JAX on AWS g5g.2xlarge and g6.2xlarge with a byte-identical payload. The older instance loses 87% of decode to dtype conversion, and

Dev.to · xbill
🧬 Deep Learning
3w ago
Gemma 4 in Pure JAX: What Changes Between Turing and Ada, and What Doesn't
One hand-written Gemma 4 port, no PyTorch and no vLLM, on two NVIDIA GPUs a generation apart. Most of it ports untouched. Two things do not, and one of them was

Dev.to · xbill
☁️ DevOps & Cloud
3w ago
The Cheapest CUDA GPU on AWS Has an Arm CPU — and You Probably Want the Intel One
Gemma 4 E2B on the two cheapest whole-GPU CUDA instances AWS sells. Same Turing GPU, different host CPU. One is cheaper per hour, the other is cheaper per token

Dev.to · xbill
3w ago
Gemma 4 in Pure JAX: What Ports from TPU to GPU, and What Doesn't
This article is about running a hand-written Gemma 4 port in pure JAX on three different...

Dev.to · xbill
☁️ DevOps & Cloud
3w ago
Pure JAX on G5g: Serving Gemma 4 on Graviton and a T4G
This article provides a step by step deployment guide for serving Google's Gemma 4 on an AWS EC2 G5g...

Dev.to · xbill
📰 AI News & Updates
3w ago
Cross Cloud A2A Agent Card Field Comparison
Comparing Agent Cards with A2A - This tutorial aims to fetch the agent card from A2A agents running...

Dev.to · xbill
☁️ DevOps & Cloud
4w ago
What Bedrock AgentCore Actually Puts on Your A2A Agent Card
This article provides a step by step look at the A2A agent card a Strands agent publishes on Amazon...

Dev.to · xbill
☁️ DevOps & Cloud
1mo ago
Mix and Match: One Agent, Three Clouds, One Protocol
The same research agent built three times — Google ADK on Cloud Run, Strands on Bedrock AgentCore, Agent Framework on Container Apps — all speaking A2A v1.0. Wh

Dev.to · xbill
☁️ DevOps & Cloud
1mo ago
Mix and Match: Serving a Bedrock Agent to Google and Azure
A step by step guide to running a Strands agent on Amazon Bedrock AgentCore Runtime, serving the A2A protocol to callers on Google Cloud and Azure, with no AWS

Dev.to · xbill
☁️ DevOps & Cloud
1mo ago
Three Clouds, One Brief: What Actually Differs Between ADK, Strands and Agent Framework
All three hyperscalers now ship an agent framework, and all three speak A2A. The protocol page will...

Dev.to · xbill
☁️ DevOps & Cloud
1mo ago
Strands on AgentCore, Answering Two Other Clouds: The Contract, the Header, and the microVM
A Strands agent on Bedrock AgentCore Runtime serving A2A to callers on Google Cloud and Azure. The AgentCore container contract, the request header it drops, wh

Dev.to · xbill
🏭 MLOps & LLMOps
1mo ago
Deploying a QAT Checkpoint Your Serving Stack Can't Load: Gemma 4 E2B in Pure JAX on One TPU
vLLM on TPU cannot load the Gemma 4 E2B QAT exports. So I served them from a hand-rolled JAX engine on a single v6e chip — and found that the thing that actuall
DeepCamp AI