---
title: "#flexai-news articles | Hashnode"
description: "Explore 6 articles tagged #flexai-news on Hashnode. Tutorials, guides, and how-tos from the community."
url: "https://hashnode.com/tag/flexai-news"
---

Tag

# #flexai-news

6 posts · 0 followers

[Adam King](https://hashnode.com/@adamatflex) · [Apr 30](https://hashnode.com/posts/ai-workloads-nvidia-amd-multi-cloud-without-refactoring/69f36e7e980b88463f683a56)

### [Running AI Workloads Across NVIDIA, AMD, and Multiple Clouds Without Refactoring](https://flexai.hashnode.dev/ai-workloads-nvidia-amd-multi-cloud-without-refactoring?utm_source=hashnode&utm_medium=feed)

A technical look at hardware-agnostic AI infrastructure — running training on NVIDIA H100s and inference on AMD MI300X across multiple clouds.

6 min read · [flexai.hashnode.dev](https://flexai.hashnode.dev/ai-workloads-nvidia-amd-multi-cloud-without-refactoring?utm_source=hashnode&utm_medium=feed)

[Adam King](https://hashnode.com/@adamatflex) · [Apr 21](https://hashnode.com/posts/fine-tuning-32b-legal-llm-outperformed-frontier-model-lower-cost/69e782f1feb2629cd50851d2)

### [Fine-Tuning a 32B Legal LLM That Outperformed a Frontier Model at 4× Lower Serving Cost](https://flexai.hashnode.dev/fine-tuning-32b-legal-llm-outperformed-frontier-model-lower-cost?utm_source=hashnode&utm_medium=feed)

LegML fine-tuned a 32B legal LLM using GRPO and supervised fine-tuning that beat a frontier model on legal benchmarks.

6 min read · [flexai.hashnode.dev](https://flexai.hashnode.dev/fine-tuning-32b-legal-llm-outperformed-frontier-model-lower-cost?utm_source=hashnode&utm_medium=feed)

[Adam King](https://hashnode.com/@adamatflex) · [Apr 14](https://hashnode.com/posts/llm-inference-gpu-sizing-right-gpu-model-traffic/69de486ad3d873268bfe11f8)

### [LLM Inference GPU Sizing: How to Choose the Right GPU for Your Model and Traffic](https://flexai.hashnode.dev/llm-inference-gpu-sizing-right-gpu-model-traffic?utm_source=hashnode&utm_medium=feed)

How to size GPUs for LLM inference in production. Walk through real latency and cost tradeoffs for LLaMA 3.1 8B across L40, H100, and H200 — with toke

5 min read · [flexai.hashnode.dev](https://flexai.hashnode.dev/llm-inference-gpu-sizing-right-gpu-model-traffic?utm_source=hashnode&utm_medium=feed)

[Adam King](https://hashnode.com/@adamatflex) · [Apr 7](https://hashnode.com/posts/ai-infrastructure-software-harder-than-hardware-aurora-flexai/69d4ffd815135c96413880fc)

### [Why AI Infrastructure Software Is Harder Than Hardware — Lessons from Building Aurora and FlexAI](https://flexai.hashnode.dev/ai-infrastructure-software-harder-than-hardware-aurora-flexai?utm_source=hashnode&utm_medium=feed)

FlexAI CEO Brijesh Tripathi shares lessons from 25 years at NVIDIA, Apple, Tesla, and Intel — including delivering the Aurora supercomputer

7 min read · [flexai.hashnode.dev](https://flexai.hashnode.dev/ai-infrastructure-software-harder-than-hardware-aurora-flexai?utm_source=hashnode&utm_medium=feed)

[Adam King](https://hashnode.com/@adamatflex) · [Mar 20](https://hashnode.com/posts/supercomputers-to-serverless-gpu-infrastructure/69bd6bd6475ca179740c34d4)

### [From Supercomputers to Serverless: How FlexAI is Solving the GPU Infrastructure Challenge](https://flexai.hashnode.dev/supercomputers-to-serverless-gpu-infrastructure?utm_source=hashnode&utm_medium=feed)

FlexAI CEO Brijesh Tripathi on the AI Chat podcast — fractional GPUs, the 90/10 inference shift, and why software is harder than hardware.

5 min read · [flexai.hashnode.dev](https://flexai.hashnode.dev/supercomputers-to-serverless-gpu-infrastructure?utm_source=hashnode&utm_medium=feed)