#AMD GPU

154 related articles

Jul 16, 2026·2 min

llama.cpp Milestone: The Open-Source Evolution of Local LLM Inference

llama.cpp hits a new milestone, growing from a solo hobby project into core local AI inference infrastructure. Explore its iteration speed, GGUF quantization, and how AI coding agents are reshaping open-source development.

Jul 15, 2026·3 min

Can GPT-5.6 Prove a 50-Year Graph Theory Conjecture? The Boundaries and Verification of AI Mathematical Reasoning

GPT-5.6 Soul Ultra claims to prove the 50-year-old Cycle Double Cover Conjecture in under an hour using 64 parallel agents. We examine the technical path, missing peer review, and formal verification gaps.

4 Alternatives for Running CUDA on Non…

Jul 15, 2026·3 min

4 Alternatives for Running CUDA on Non-NVIDIA Hardware: A Comparative Guide

A deep dive into running CUDA on non-NVIDIA hardware (AMD, Intel): comparing ROCm/HIP, ZLUDA, SYCL/oneAPI, and OpenCL across principles, use cases, and limitations.

Building an eGPU for Local LLM on a $1…

Jul 14, 2026·2 min

Building an eGPU for Local LLM on a $1,000 Budget: A Practical Buying and Setup Guide

Building an eGPU for local LLMs on a $1,000 budget? This guide covers GPU selection, dock costs, RTX 3090 vs 3060 value, and top tools like Ollama and llama.cpp.

Jul 14, 2026·3 min

Zer0Fit: Connecting Google's TabFM and TimesFM to LLM Chat Interfaces via MCP

Zer0Fit wraps Google's TabFM and TimesFM foundation models as MCP servers, letting users run classification, regression, and time series forecasting through a local LLM chat interface — no ML code required.

Jul 13, 2026·2 min

AI-Powered Malaria Cell Detection: A Complete Guide to Medical Image Classification

A deep dive into a deep learning malaria cell classifier: binary classification, Hugging Face Spaces deployment, and Gradio UI — plus the real limits of medical AI.

Jul 13, 2026·3 min

Local Gemma 3 12B as an AI Agent: A Practical Guide to Tool Calling and Framework Selection

Running Gemma 3 12B locally via Ollama and want to build an AI Agent? This guide covers tool calling, n8n/LangChain/CrewAI comparisons, context limits, and more.

The Circular Financing Trap in Nvidia'…

Jul 12, 2026·4 min

The Circular Financing Trap in Nvidia's Ecosystem: The Capital Undercurrents Behind the GPU Boom

An in-depth look at the circular financing model among Nvidia, CoreWeave, and Nebius—where suppliers double as investors, capital self-reinforces, and valuation bubbles and systemic risk lurk behind the AI infrastructure boom.

Jul 12, 2026·3 min

Nvidia's Dilemma: How the Commoditization of the Compute Market Is Turning Against Its Creator

Nvidia's revenue keeps rising, yet its stock has fallen ~15% from its peak. A deep dive into the double-edged sword of compute commoditization—when cloud giants build their own chips, how much of Nvidia's pricing power and moat remains?

Jul 12, 2026·4 min

E2AM: An Open-Source Tool to Quantify AI Training Energy Consumption and Carbon Emissions in Two Lines of Code

E2AM is a Green AI open-source tool that monitors AI model training energy use, carbon emissions, and accuracy-per-joule metrics in just two lines of code. Supports PyTorch and Hugging Face, runs locally with no server needed.

Jul 12, 2026·4 min

Meta's In-House AI Chip Enters Mass Production in September: Modular Design Breaks New Ground for Compute Autonomy

Meta's new-generation in-house AI chip enters mass production in September, using a modular design to cope with rapid AI evolution. A deep dive into the cost logic, inference optimization, and market impact on NVIDIA.

Jul 12, 2026·4 min

AMD Ryzen AI Halo Hands-On: Can x86 Architecture Challenge NVIDIA's DGX Spark?

In-depth review of the AMD Ryzen AI Halo mini AI box: powered by the Ryzen AI Max Plus 395 (Strix Halo) chip with 128GB unified memory, priced at $4,000. Compared against NVIDIA's DGX Spark across token generation, prefill speed, and x86 advantages.

Jul 11, 2026·4 min

meshoptimizer: A Deep Dive into This Open-Source 3D Mesh Compression and Rendering Optimization Library

meshoptimizer is a lightweight C++ open-source library offering vertex cache optimization, overdraw reduction, mesh compression, quantization, and LOD simplification for game engines, WebGL, and glTF pipelines.

Jul 11, 2026·6 min

SK Hynix's Record $26.5B IPO: The AI Memory Chip Boom and the U.S. Factory Chess Game

SK Hynix completed a record $26.5B IPO—the largest by a foreign company in U.S. history. Explore the HBM memory boom, U.S. pressure to build local fabs, and the geopolitical restructuring of chip supply chains amid the AI wave.

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, 2026·4 min

Demystifying Unified Memory Architecture: How Mini PCs Run 70B Large Models

Why can a mini PC with unified memory run a 70B model while an RTX 4090 can't? A deep dive into the VRAM wall and unified memory architecture for smarter local AI hardware choices.

Jul 11, 2026·5 min

Why Did Ollama Rise So Fast? Decoding the Success of a Local LLM Tool

How did Ollama grow from a niche open-source project into developers' default choice for running local LLMs? This article breaks down its rise across product design, technical strategy, and ecosystem building.

Jul 10, 2026·7 min

Krea2 Tested: Does the FP8 vs BF16 Quality Gap Still Exist?

A Reddit user compared FP8 and BF16 precision on the Krea2 model and found almost no difference in image quality. This article analyzes the technical reasons behind the shrinking quantization gap and its real-world impact on VRAM usage and inference speed.

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, 2026·3 min

Running LLMs Locally: The Illusion vs. the Real Value of Open-Weight Models

Open weight ≠ runnable locally. This article breaks down the hardware barriers, VRAM limits, electricity costs, and parallelism constraints of models like GLM 5.2 and DeepSeek — revealing where open-weight models truly add value: driving cloud competition, not home replication.