AI Hardware Blog
Expert insights, buying guides, and industry news about enterprise AI hardware
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NVIDIA Takes $5B Stake in Intel: What It Means for AI Hardware Buyers
NVIDIA just closed a $5 billion investment in Intel, with plans for joint CPU-GPU development and potential foundry manufacturing. Here's what this partnership means for enterprise AI hardware purchasing decisions in 2026 and beyond.
AMD MI300X vs NVIDIA H100: The Honest Comparison for AI Buyers
AMD's MI300X offers 192GB HBM3 and 5.3 TB/s bandwidth—on paper, it crushes the H100. But benchmarks tell a more nuanced story. Here's when each GPU actually makes sense for your workload.
How to Size Your First AI Server: A Practical VRAM and RAM Calculator
The specs on AI servers look intimidating. How much VRAM do you actually need? When does RAM matter? I break down the real requirements for LLM inference, training, and fine-tuning with specific hardware recommendations.
The Real Cost of Fine-Tuning Llama 70B: Full vs LoRA vs QLoRA
Full fine-tuning requires $120K+ in GPUs. QLoRA does it on a single $2K card. I calculated the actual costs for each approach so you can pick the right one for your budget.
Edge AI Showdown: Jetson Orin vs OAK-D vs Axelera for Computer Vision
Comparing 70 edge AI devices across three platforms: NVIDIA Jetson for maximum flexibility, Luxonis OAK-D for plug-and-play vision, and Axelera Metis for raw inference speed. Which one fits your project?
Best AI Laptops for Machine Learning in 2025: RTX 5090 vs 4090 Showdown
I compared 53 AI-capable laptops across 6 vendors to find the best options for ML development. The new RTX 5090 laptops offer 24GB VRAM, but is the 50% price premium worth it over RTX 4090 models?
H100 vs A100 vs L40S: The Cost-Per-Token Analysis
Raw performance benchmarks don't tell the whole story. I calculated the actual cost per million tokens across three datacenter GPUs to find which delivers the best value for inference workloads.
The Real Cost of Running Llama 70B Locally: I Did the Math
What does it actually cost to run a 70-billion parameter model on your own hardware? I calculated the numbers across three hardware tiers—from $3,200 workstations to $40,000 H100 setups—including power, depreciation, and the hidden costs nobody mentions.
Best Enterprise AI Servers 2025: Complete Buyer's Guide
Analyzing 603 enterprise AI servers across 16 vendors to find the best options for LLM training, inference, and HPC workloads. From $15,000 to $595,000.
Edge AI Buying Guide: Jetson, OAK-D, and Metis Compared
Comparing 79 edge AI products across NVIDIA Jetson, Luxonis OAK-D, and Axelera Metis platforms. A practical guide to choosing the right edge AI hardware for your application.
NVIDIA RTX PRO 5000 72GB: Blackwell Comes to the Workstation
NVIDIA's RTX PRO 5000 brings 72GB of GDDR7 to workstations—but good luck finding a price. As memory shortages loom and vendors hide behind 'contact for quote,' here's what buyers need to know.
AI Infrastructure in 2026: Custom Silicon, Cloud Wars, and What It Means for Buyers
Cerebras is filing for an IPO, Amazon may invest $10 billion in OpenAI, and major AI labs are designing their own chips. Here's how these shifts will reshape enterprise AI hardware decisions in the coming year.