
NVIDIA RTX 3090 - The Budget 24GB Value King
Full specs and benchmarks for the NVIDIA GeForce RTX 3090 - 24GB GDDR6X at 936 GB/s, Ampere architecture, and why used 3090s remain the best value option for local AI inference in 2026.
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Full specs and benchmarks for the NVIDIA GeForce RTX 3090 - 24GB GDDR6X at 936 GB/s, Ampere architecture, and why used 3090s remain the best value option for local AI inference in 2026.

Full specs and benchmarks for the NVIDIA GeForce RTX 4090 - 24GB GDDR6X, 1,008 GB/s bandwidth, Ada Lovelace architecture, and why it remains the default home lab GPU for local AI inference.

Full specs and benchmarks for the NVIDIA GeForce RTX 5090 - 32GB GDDR7, 1,792 GB/s bandwidth, Blackwell architecture, and what it means for local AI inference.

Two very different approaches to desktop AI hardware - a 32 GB eGPU with 1,792 GB/s bandwidth versus a 128 GB unified memory mini PC with full CUDA. Which one should you buy?

A review of the Gigabyte AORUS RTX 5090 AI BOX - a liquid-cooled eGPU packing a full desktop RTX 5090 with 32 GB GDDR7, connecting to any laptop over Thunderbolt 5 for $2,999.

A hands-on review of the NVIDIA DGX Spark - a 128 GB Grace Blackwell mini PC that promises 1 petaflop of AI performance on your desk for $4,699.

A complete guide to setting up the NVIDIA DGX Spark - from unboxing and first boot to running LLM inference, fine-tuning models, and optimizing performance.

Ollama Cloud extends the popular local LLM runner to the cloud, letting you push models from your laptop and serve them globally. We test latency, cold starts, pricing, and the developer experience against dedicated inference providers.

Groq's LPU chips deliver inference speeds that make GPUs look slow - 1,200+ tokens per second on Llama 4. We benchmark latency, throughput, model availability, and pricing against the GPU-based competition.

OpenRouter routes your API calls to 300+ models across every major provider through a single endpoint. We benchmark its routing, latency overhead, pricing, and reliability against direct API access.

Inception Labs launches Mercury 2, the first diffusion-based reasoning language model, generating over 1,000 tokens per second on Blackwell GPUs at a fraction of the cost of conventional autoregressive models.

Alibaba releases official FP8-quantized weights for the Qwen 3.5 flagship and 27B dense model, cutting memory requirements roughly in half and enabling deployment on 8x H100 GPUs with native vLLM and SGLang support.