Are Local Models Finally Good Enough?
Newest Gen AI Servers Are Built Like This
Turn an Old PC Into a Proxmox Server with GPU Passthrough
EIGHT GPUs in a Cloud Gaming Server - Nvidia DGX V100
AI Server that Doesn't Need the Internet
Optimizing AI Workload Management with GIGABYTE POD Manager
What if scaling AI is no longer limitied by compute but by how everything connects? #RackScale
AMD launches RX 9070 GRE for everyone; Intel's Arc G3 for Handhelds - Talking Heads Ep.435
NVIDIA Vera—The CPU for Agents
Meet the AMD Instinct™ MI350P PCIe® Card
NVIDIA's Hostile Takeover
LIVE from NVIDIA GTC 2026 - Talking Heads Ep.425
…But I occasionally need to work with AI-accelerated workloads on my dev VM. Since I’ve already enabled GPU passthrough long ago (which is a lot easier than you think), I…
…Intel has already confirmed that the Xe3P architecture will not be used for consumer gaming graphics cards. Instead, the company plans to position Crescent Island as an AI acceleration and data center…
…DGX A100 server with up to 8 GPUs. Related Story SpaceXAI Gives Anthropic A Fresh Injection of 220,000 NVIDIA GPUs While Also Planning on Multi-GW “Orbital” AI Compute Capacity Unlike…
…With AI-powered noise cancellation already available, users can leave the NPU to enhance their experience while the CPU and GPU can handle work, play, and more. Model Cores/Threads Boost 5…
i have been running three older graphics cards 24/7 in my garage server rack to run my home media and some ai models. my wife just opened the power bill for the summer and it is almost double what we normally pay. she to…
I've got a Fractal Node 804 build right now - but I'm finding mATX to be VERY limiting. Not many board options, not enough space. My server right now: 12700k, 96GB RAM (2x 48G sticks) LSI 9300 HBA 10G SFP+ NIC (I have 10…
Update from the lawyer with the V100 server. A few of you asked what I actually ended up running once the dust settled, so here it is. Still just a lawyer, still driving the whole thing through Claude Code, still not ful…
I'm not an IT dev, I don't work in IT but I was always interested in homelabbing. I started working on the above homelab exactly one year ago and I love this hobby. I would like to know if you have any suggestions? I'm t…
I'm a big fan of on-device AI inference for a million reasons, especially its potential to significantly reduce or even potentially eliminate the need for massive AI data center projects in the United States. But so far,…
…Yet NVIDIA combines those concepts with a Blackwell GPU, CUDA acceleration, and an unusually large memory pool aimed at local AI inference and server-tier workloads. Whether the pivot to AI-first…
…Setting a new benchmark of AI computing, the data center is powered by 128 ASUS ESC N8-E11 servers , each equipped with NVIDIA HGX H100 GPUs, totaling 1,024 GPU cards. Next…
…The Bolt Graphics Zeus "12nm" GPU Aims To Offer 5x Faster Path Tracing Performance Than An RTX 5090 "5nm" Graphics Card Last year, Bolt Graphics announced its Zeus chip and claimed some…
…And by using LM Studio or other similar model servers, you can also use your CPU and system RAM if your GPU can't fit all the models you want in VRAM…
…In addition to the robust Twin Digital VRM Design with premium components and a server-grade PCB, you've got advanced features and AI technologies to make overclocking and unlocking new levels…
…installed base of servers even if it does not represent the lion’s shares of revenues as do AI training systems by virtue of those very expensive GPUs they are laden with…