Nvidia GPUs have been the go-to choice for local AI for years, with the RTX 3090 establishing itself as the champion for most self-hosted and local AI workflows thanks to its massive VRAM buffer and ...

AMD’s desktop app for running models locally is still in the early stages, with few configuration options and no support for ...

Local AI enthusiasts value the elusive trinity of capable performance, generous VRAM, and affordability in a graphics card. The latest GPUs from Nvidia and AMD may be powerful for gaming, but when it ...

Intel (NASDAQ: INTC) just announced a new GPU. It's not for gaming, and it's not destined for data centers. Instead, the Intel Arc Pro B70 is tailor-made for running AI workloads on workstations ...

With the launch of Google’s Gemma 4 family of AI models, AI enthusiasts now have access to a new class of small, fast, and omni-capable AI designed for fast and efficient local deployment, and NVIDIA ...

GPU memory (VRAM) is the critical limiting factor that determines which AI models you can run, not GPU performance. Total VRAM requirements are typically 1.2-1.5x the model size due to weights, KV ...

This voice experience is generated by AI. Learn more. This voice experience is generated by AI. Learn more. Plugable has announced the launch of the TBT5-AI Series, a new category of ...

Artificial intelligence (AI) is stretching compute infrastructure well beyond what traditional enterprise data centers were designed to handle. Modern AI training requires massively parallel compute, ...

Lenovo's ThinkPad P16 Gen 3 delivers workstation-class AI performance in a laptop form factor, combining a high-core-count CPU, Blackwell GPU, and massive memory for demanding local model, ...

The Arc Pro B70 comes with 32GB or RAM, enabling smaller AI models to run locally. It compares favorably with products from Nvidia and AMD, and it's much cheaper at $949. If AI workloads move away ...