Resources

Blog

Engineering notes on managed inference, open models, and the GPU infrastructure that serves them, from the team building FlexAI.

AILLMsFunction Calling

The Best Open-Source LLM for Function Calling? Run These 5 Checks First

"Function calling: supported" tells you nothing. Five tests, named models, real numbers: run them on your endpoint before you commit an open model to a production agent pipeline.

June 30, 2026Read article

Open SourceLLM

When to Switch to Open Source Models: A Decision Framework

Compare cost, control, privacy, and workload fit before you move from closed-source APIs to open source LLMs.

May 15, 2026Read

Fine-Tuning ModelsReinforcement Learning

How to Use EasyR1 for Reinforcement Learning on FlexAI

EasyR1 is a reinforcement learning fine-tuning framework that supports GRPO, DAPO, and REINFORCE for reasoning-focused post-training. Use it when SFT starts plateauing on tasks like math, code, or logic and you can define a reliable reward signal.

May 11, 2026Read

AI InfrastructureGPU

Running AI Workloads Across NVIDIA, AMD, and Multiple Clouds Without Refactoring

The default path for most AI teams today is single-vendor, single-cloud: pick NVIDIA, pick AWS (or GCP, or Azure), and build everything around that stack.

May 4, 2026Read

ModelAI

How to Benchmark Open-Source Models Before You Commit

You're choosing between Llama 4 Scout 17B, GPT-OSS 120B, and DeepSeek V3.2. The paper numbers look fine across all three. You pick the one that feels right and ship it.

April 27, 2026Read

FlexAI NewsLLM

Fine-Tuning a 32B Legal LLM That Outperformed a Frontier Model at 4× Lower Serving Cost

Everyone assumes bigger models produce better results. LegML set out to prove otherwise.

April 21, 2026Read

FlexAI NewsLLM

LLM Inference GPU Sizing: How to Choose the Right GPU for Your Model and Traffic

When developers scale LLM workloads to production, one question always comes up: which GPUs should I use, how many will I need, and how much is this going to cost me?

April 14, 2026Read

FlexAI NewsAI Infrastructure

Why AI Infrastructure Software Is Harder Than Hardware: Lessons from Building Aurora and FlexAI

Small AI startups are dying, not from lack of innovation, but from infrastructure exhaustion.

April 7, 2026Read

AI InfrastructureGPU

Heterogeneous AI Compute: Why Mixed NVIDIA, AMD, and TPU Clusters Are Harder Than They Look

As AI workloads expand across cloud, edge, and enterprise environments, the infrastructure underpinning them is shifting toward hardware diversity.

April 3, 2026Read

DevOpsLLM

FlexBench: An Open-Source, Modular MLPerf Benchmark for LLM Inference

AI system benchmarks like MLPerf struggle to keep pace with the rapidly evolving model landscape, making it difficult for organizations to make informed deployment decisions.

March 31, 2026Read

FlexAI NewsAI Infrastructure

From Supercomputers to Serverless: How FlexAI is Solving the GPU Infrastructure Challenge

This blog summarizes Brijesh Tripathi's appearance on the AI Chat podcast with host Jaeden Schafer.

March 20, 2026Read