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Technical Insights & Industry Analysis

Blog

Technical Insights & Industry Analysis

Expert articles on AI accelerators, architecture comparisons, and deployment guides

Architecture

AI Chip Landscape 2026: NVIDIA, AMD, Intel Compared

A comprehensive analysis of the current AI chip market. We compare NVIDIA H100/H200/B200, AMD Instinct MI300X, and Intel Gaudi 3 across performance, memory, and ecosystem.

2026-06-1512 min read
Comparison

H100 vs MI300X vs Gaudi 3: Choosing the Right AI Accelerator

Detailed comparison of the three leading AI accelerators — NVIDIA H100, AMD MI300X, and Intel Gaudi 3 — for training, inference, and HPC workloads.

2026-06-1015 min read
Deployment

Multi-Vendor GPU Deployments: Best Practices for Enterprise

How to build and manage heterogeneous GPU infrastructure with chips from NVIDIA, AMD, and Intel in the same data center.

2026-06-0510 min read
Architecture

AMD Instinct MI300X Deep Dive: Architecture and Performance

An in-depth look at AMD's flagship AI accelerator, the MI300X with CDNA 3 architecture, 192GB HBM3 memory, and ROCm software ecosystem.

2026-05-2810 min read
Architecture

Intel Gaudi 3 AI Accelerator: What You Need to Know

Everything about Intel's Gaudi 3 AI accelerator — architecture, performance, software stack, and how it compares to NVIDIA and AMD offerings.

2026-05-208 min read
Deployment

The Future of Heterogeneous Computing: Multi-Vendor Strategies

How enterprises are leveraging chips from multiple vendors to build flexible, cost-effective AI and HPC infrastructure.

2026-05-159 min read
Guides

GPU Buying Guide 2026: How to Choose the Right AI Accelerator for Your Workload

A complete decision framework for selecting the right GPU in 2026. Covers training vs inference needs, memory vs compute tradeoffs, budget tiers, and vendor comparisons.

2026-07-1015 min read
Guides

How Many GPUs Do You Need for LLM Training? The Complete Calculator

A practical guide to calculating GPU requirements for large language model training. Covers model size to GPU mapping, parallelism strategies, and cost estimates.

2026-07-0512 min read
Comparison

NVIDIA H100 vs H200: Is the Upgrade Worth It for Your AI Workloads?

A practical comparison of NVIDIA H100 and H200 GPUs. Analyzes memory bandwidth, price/performance, and which workloads benefit most from upgrading.

2026-06-2810 min read
Guides

How to Build a GPU Cluster for AI Training: Step-by-Step Guide

A comprehensive step-by-step guide to building a GPU cluster for AI training. Covers hardware selection, networking, cooling, power, software stack, and monitoring.

2026-06-2018 min read
Guides

GPU Total Cost of Ownership: Cloud vs On-Premise Analysis for 2026

A detailed total cost of ownership analysis comparing cloud GPU instances versus on-premise deployment. Covers hardware, power, cooling, staffing, and depreciation.

2026-06-1214 min read
Architecture

NVIDIA Blackwell Architecture Explained: What B200 and B300 Mean for AI

A deep dive into NVIDIA's Blackwell GPU architecture. Covers the B200 and B300 specifications, NVLink 5.0, FP4 support, and how Blackwell compares to Hopper.

2026-05-2512 min read
Comparison

CUDA vs ROCm in 2026: Which AI Software Ecosystem Should You Choose?

A practical comparison of NVIDIA CUDA and AMD ROCm software ecosystems in 2026. Covers framework support, migration paths, performance parity, and developer experience.

2026-05-1511 min read
Deployment

Liquid Cooling vs Air Cooling for GPU Servers: The Complete Enterprise Guide

A comprehensive comparison of liquid cooling and air cooling for GPU servers. Covers cooling requirements per GPU, liquid cooling types, PUE impact, and cost analysis.

2026-05-0810 min read
Comparison

AMD Instinct MI300X vs NVIDIA H100: The Enterprise Buyer's Decision Guide

An enterprise-focused comparison of AMD MI300X and NVIDIA H100. Covers performance benchmarks, memory analysis, software ecosystem, pricing, and procurement considerations.

2026-04-3013 min read
Case Studies

AI Chip Market Trends 2026: Pricing, Availability, and What to Expect Next

Analysis of AI chip market trends in 2026. Covers GPU pricing trends, supply chain dynamics, new product launches, and investment recommendations for IT buyers.

2026-04-209 min read