Category: GPUs & Hardware

AI GPU Pricing: Why Cost per Token Beats Hourly Rates
GPUs & Hardware

AI GPU Pricing: Why Cost per Token Beats Hourly Rates

AI GPU pricing looks simple when a provider quotes dollars per GPU-hour. That number only tells part of the story. For a…

Microsoft Maia 200: What an Inference-Native Accelerator Changes
GPUs & Hardware

Microsoft Maia 200: What an Inference-Native Accelerator Changes

Inference-native accelerator design changes the question infrastructure teams ask about AI serving. Microsoft Maia 200 is not positioned as a general replacement…

Intel Crescent Island: The Case for an Inference-First Data Center GPU
GPUs & Hardware

Intel Crescent Island: The Case for an Inference-First Data Center GPU

Inference data center GPU design is moving from a broad promise to a clear product decision. Intel has positioned Crescent Island as…

Qualcomm Dragonfly AI300: Why Memory Bandwidth Is an Inference Product
GPUs & Hardware

Qualcomm Dragonfly AI300: Why Memory Bandwidth Is an Inference Product

AI accelerator memory bandwidth has become a product decision, not a footnote beneath peak TOPS. Qualcomm positions its Dragonfly AI300 as a…

AI Inference Hardware in 2026: The Real Bottleneck Is the System
GPUs & Hardware

AI Inference Hardware in 2026: The Real Bottleneck Is the System

AI inference hardware is becoming a system-design problem, not a race to buy the accelerator with the highest quoted throughput. Modern serving…

P-Video 2: Planning GPU Capacity for AI Video Bursts
GPUs & Hardware

P-Video 2: Planning GPU Capacity for AI Video Bursts

AI video GPU capacity cannot be planned from an average render time alone. A video request combines duration, frame rate, resolution, controls,…

GPU Utilization: The Metric That Hides Inference Waste
GPUs & Hardware

GPU Utilization: The Metric That Hides Inference Waste

GPU utilization is often reported as one reassuring percentage. It answers whether a device was active, not whether the service delivered useful…