GPU coverage for AI workloads: VRAM requirements, price-per-token maths, and honest verdicts on which cards are worth buying for training and local inference.
The RX 9070 XT costs hundreds less than the RTX 5080 and beats it in some raw AI benchmarks. So is it the value upset of 2026 — or does CUDA and compute still win? Let’s settle it.
AMD’s RDNA4 flagship matches the RTX 5070 Ti on paper and undercuts it on price. But AI isn’t decided on paper — it’s decided by software, and that’s where the verdict gets interesting.
Same Blackwell die, same memory bandwidth — but 96GB versus 32GB and ECC. One costs $2,000, the other $7,500. Here’s exactly when the Pro card earns nearly 4x the price.
$450 separates these two, and for AI it buys both more VRAM and almost double the compute. Here’s whether the RTX 5080 justifies the gap over the 5070 for local AI work.
$200 separates these two — but for AI it’s really 12GB vs 16GB of VRAM, and that single number changes which models you can run. Here’s how they compare on real workloads.
A rare case where the cheaper card has more VRAM. The RTX 5070 is faster; the RTX 5060 Ti 16GB fits bigger models. For AI, that trade-off doesn’t have an obvious winner.
Local AI video generation is the most VRAM-hungry creative workload there is. This guide ranks the GPUs that can actually run models like Hunyuan and Wan at home.
The best GPUs for running Stable Diffusion and FLUX locally in 2026, ranked for VRAM, speed, and value — with a clear pick for every budget.
Fine-tuning LLMs at home is realistic in 2026 — if you have the VRAM. This guide ranks the best GPUs for home fine-tuning and explains how much memory you really need.
You can build a capable AI workstation for under $1500 — if you spend the GPU budget wisely. Here are the best value GPUs for local AI work on a tight budget.
The best GPUs for AI and ML development in 2026, ranked by what actually matters for experimentation: VRAM, performance, and value. One clear pick for each budget.
Nvidia DGX Spark, the shipping version of Project DIGITS: GB10 chip, 128 GB unified memory and 273 GB/s bandwidth. What size of model it holds, why memory speed limits it, the launch price and who should buy one.
