#HBM memory bandwidth

144 related articles

Jul 11, 2026·3 min

The Software Compounding Effect: The Real Deciding Factor in AI Infrastructure Competition

Beyond the GPU arms race, software is becoming AI infrastructure's true compounding engine. A deep dive into optimization stacking, the CUDA ecosystem moat, and how open source scales individual breakthroughs into community wealth.

Jul 11, 2026·6 min

Why Is Qwen3 27B So Slow on a 4090? A Hands-On Guide to Local Inference Performance Optimization

RTX 4090 taking over 400 seconds to run Qwen3 27B inference? This article analyzes the core causes—VRAM overflow and CPU offloading drag—and offers targeted fixes.

Jul 11, 2026·6 min

Cursor Meets Grok 4.5: A Hands-On Test of an AI Coding Assistant That's 5x Faster with Cleaner Output

A developer deeply tests Grok 4.5 High Fast in Cursor, finding it rivals Claude Opus in quality but runs 5x faster with cleaner, filler-free output. Full hands-on review and analysis.

Jul 11, 2026·5 min

Behind Apple's Across-the-Board Price Hikes: How the AI Arms Race Is Driving Up Your Purchase Costs

Apple raised prices across MacBook, iPad, and Mac Studio, with Mac Studio up 25%. The real driver behind surging memory prices is AI's explosive demand for HBM and DRAM. A deep dive into the logic and how consumers should respond.

Jul 10, 2026·5 min

Real-World Comparison of 6 Open-Source LLMs for On-Premise Deployment: A Selection Guide to Avoid Pitfalls

A hands-on comparison of 6 open-source LLMs (DeepSeek, Qwen3, Zhipu GLM, Kimi K2, MiniMax M3, Tencent Hunyuan 3) for on-premise deployment—covering hardware cost, inference efficiency, and deployment difficulty.

Jul 10, 2026·5 min

DeepSeek Boosts Inference Speed by 85%: How Speculative Decoding Is Reshaping the AI Speed Race

DeepSeek and Peking University's DS Spark paper boosts AI inference speed by up to 85% via confidence scheduling and semi-autoregressive speculative decoding — no model or GPU changes.

Jul 10, 2026·6 min

AI's Second Half: The Decisive Battle Shifts from Models to Infrastructure

Model capabilities are converging, making inference cost and scalability the new focus of AI competition. A deep analysis of AI infrastructure's core layers.

Jul 10, 2026·7 min

Reverse-Engineering CUDA-checkpoint: The Technical Principles and Practice of Cracking GPU Cold Starts

An in-depth analysis of reverse-engineering Nvidia CUDA-checkpoint to accelerate GPU cold starts. Covers checkpoint/restore, Serverless GPU prospects, and VRAM snapshot challenges.

Jul 10, 2026·7 min

Complete Guide to Training Small Models on Kaggle's Free Compute: GPU Quotas and Practical Tips

In-depth guide to Kaggle's free-tier compute: P100/T4 GPU with 30 hours/week quota, 12-hour sessions, suitable models like CNN and BERT fine-tuning, plus tips like mixed precision and checkpointing to start deep learning at zero cost.

Jul 10, 2026·6 min

Samsung's Chip Profit in a Single Year Exceeds 40 Years Combined: The AI Wave Triggers a Memory Price Crisis

Samsung's chip division is set to earn more profit in one year than in its past 40 years combined, with quarterly profit surging 19x YoY, surpassing NVIDIA. AI data centers are seizing HBM and DRAM capacity, driving up DDR5 and SSD prices.

Jul 10, 2026·3 min

Four Bottlenecks in AI Infrastructure Build-Out: Power, Supply Chains, Capital, and Regulation

Power shortages, chip supply constraints, uncertain ROI, and regulatory hurdles are the four core bottlenecks slowing AI data center build-out. A deep-dive analysis for investors and practitioners.

Jul 10, 2026·6 min

Grok 4.5 Deep Dive: Coding on Par with Top Models, at a Fraction of the Cost

A senior developer's 24-hour deep test of Grok 4.5: a 1.5T-param MoE model at $2/M input tokens, with coding benchmarks rivaling GPT-5.5. Real performance, token efficiency, and limits explained.

Jul 9, 2026·4 min

AI Weekly: GPT-5.6 Launches in Three Tiers, Open-Source Inference Frameworks and Robot Safety Break Through Across the Board

This week in AI: OpenAI launches GPT-5.6 in three tiers (Sol/Terra/Luna) hitting 91.9% on coding benchmarks; DeepSeek and PKU open-source DSpark for 85% faster inference; Prime Intellect trains trillion-param models on just 28 H200s; Anthropic Claude enters Slack.

Jul 9, 2026·4 min

Unsloth v0.1.463-beta: Fixes Studio Crash and llama-server Permission Issue

Unsloth v0.1.463-beta fixes a Studio crash caused by access-denied errors during llama-server service discovery. Improves stability for multi-user servers and Windows environments.

Jul 9, 2026·6 min

Rising RAM Prices Push Up Gaming Laptop Costs? A Value-Focused Buying Guide

Rising RAM and storage prices have eroded gaming laptop value. This guide breaks down the causes, cost pass-through, and offers practical buying advice plus MSI value picks.

Jul 9, 2026·6 min

AMD Ryzen AI Halo Dev Kit: A $4,000 Local LLM Powerhouse Taking on Apple and NVIDIA

AMD officially unveils the Ryzen AI Halo local AI dev kit, priced around $4,000 with 128GB unified memory, capable of running 70B LLMs locally. An in-depth look at its specs, pricing, and market competition.

Jul 9, 2026·6 min

Doubao and Qwen Retire AI Agents: How Compute Costs Are Reshaping AI's Commercial Boundaries

Doubao and Qwen have retired their AI Agent features. The real reason isn't regulation—it's that companion-chat users don't pay, making compute costs unrecoverable. A deep dive into AI's cost dilemma.

Jul 8, 2026·3 min

GPT Flagship Model Integrates with Codex: A Deep Dive into 750 Tokens/sec Inference Speed

OpenAI's top flagship model integrates with Codex, hitting 750 tokens/sec on Cerebras wafer chips. We break down MoE architecture, subscription changes, and open-source advances from Hunyuan and Longcat 2.0.

Jul 8, 2026·5 min

Major Unsloth Update: NVFP4 Quantization Export and DeepSeek-V4 Training Support

Unsloth v0.1.48-beta released, adding NVFP4/FP8 quantization export, OpenAI-compatible API hot-swapping, 3-5x faster MoE training, and 1.3x faster GRPO, covering the full LLM fine-tuning, quantization, and local deployment pipeline.

Jul 8, 2026·6 min

Deep Dive into GPT-5.6 Ultra's Sub-Agent Architecture and Ten Key AI Industry Trends

In-depth analysis of GPT-5.6 Ultra's sub-agent collaborative reasoning, the global rise of Chinese AI models, world-model evaluation gaps, and AI's real-world deployment challenges and bubble warnings.