From rumored high-VRAM RTX 5090s to AMD's data center-first strategy, hardware choices are reshaping local AI. Community tools and workarounds target VRAM limits and artificial GPU restrictions.
A pull request in llama.cpp introduces llama_moe_cache, a cache for MoE experts executed on CPU, plus a tuning script. The goal is to accelerate MoE offloading for users with limited VRAM, an approach similar to tuning mechanisms seen in Strata. No b...
AMD CEO's declaration, prioritizing data center GPUs, marks a pivotal shift in the AI hardware landscape. This analysis explores the profound implications for organizations pursuing on-premise LLM deployments, redefining the Total Cost of Ownership, ...
AMD's CEO has defined the company as 'data center first', effectively closing the era of cheap consumer GPUs as a strategic priority. For anyone planning self-hosted LLM inference, the signal matters: silicon, packaging, and VRAM are shifting toward ...
ricursiveAI/Ripple-65B-Preview appears on Hugging Face with no technical details. For on-premise LLM evaluation, the 65B class forces VRAM planning and quantization. The Preview label shifts validation costs to local teams, making the release a test ...
NVIDIA has released CUDA 13.5 together with the Linux driver 620.70.06. The central change is general availability support for Vera Rubin, the NVIDIA GPU architecture. For teams working on self-hosted infrastructure and LLMs, the toolchain becomes av...
The rumor about GeForce RTX 5090 with 64 and 96 GB of VRAM hits the critical bottleneck for local LLM users: video memory. An analysis of implications for self-hosted deployments, quantization, TCO, and data sovereignty, beyond the hardware announcem...
A US GPU repair technician has reportedly claimed the existence of RTX 5090 cards with 64 and 96 GB of VRAM. The unverified rumor touches the core constraint for local inference: more video memory enables larger models, less aggressive quantization, ...
An open-source USB tool removes the software limit that cuts AI performance of Nvidia GPUs on Windows to half speed. The news reopens the debate on artificial segmentation of consumer hardware and on the choices of those evaluating on-prem deployment...
