A user building a local AI workstation reports that a GMKtec Strix Halo with 128 GB unified memory runs Qwen/Qwen3-Coder-Next-GGUF:Q8_0 at over 44 tokens per second with a 262144 context window, while…
After one week of running local AI on AMD's Strix Halo hardware in mid-August 2026, the user reports that the hardware is fine but the software stack is far from ready, with crashes and performance is…
A developer testing USB4 clustering between a 12th gen Intel system and AMD Strix Point found that a kernel update on AlmaLinux enabled a dual-lane connection, boosting bandwidth from Intel to Strix P…
Lemonade, an open-source local AI server written in C++, shipped an update in August 2026, according to its GitHub repository, which has 5.3k stars. The project, optimized by AMD engineers for Ryzen A…
Tom's Hardware's July 30 benchmark of 128GB unified-memory machines found Apple's Mac Studio M4 Max decodes dense models 2.26x faster than AMD's Strix Halo mini-PC, but the gap shrinks to 1.25x on spa…
AUP Learning Cloud, a JupyterHub deployment on Kubernetes accelerated by AMD ROCm, aims to streamline AI education by providing pre-configured GPU-ready notebook environments on AMD hardware, from Ryz…
AMD launched the Ryzen Embedded AI X100, a high-end embedded SoC based on Strix Halo silicon, as part of its physical AI strategy. The chipmaker announced the new product at its Advancing AI keynote, …
A Hacker News user asks about experiences running local AI models on AMD Ryzen AI MAX+ 395 (Strix Halo) systems with 128GB unified memory, seeking practical parameter limits, use cases, and compatible…
AMD has launched six Ryzen AI Embedded X100 processors that adapt its Strix Halo architecture for robots and autonomous machines, with the flagship X199 featuring 16 Zen 5 cores, 40 RDNA 3.5 compute u…
AMD announced its entry into physical AI at the Advancing AI 2026 event, unveiling the Ryzen AI Embedded X100 Series processors, the Kria AI system-on-module and Robotics Developer Platform, and the A…
Framework's new desktop build featuring the AMD Ryzen AI Max+ Pro 495 and 192GB of RAM turns the machine into a legitimate local AI server, enabling users to run large language models locally with hea…
Thinking Machines' open Inkling model, with 975 billion total parameters and 41 billion active, fits on a single high-memory box at 2-bit or 3-bit quantization, unlike the datacenter-scale Kimi K3. Re…
Running a 70B large language model locally in 2026 can cost as little as $250 using two used AMD Instinct MI50 GPUs, according to the r/LocalLLaMA community. The cheapest quiet option is a Strix Halo …
Mini PCs with unified memory architectures, such as those using AMD's Strix Halo chip, can run 70-billion-parameter language models that exceed the VRAM capacity of discrete GPUs like the RTX 5090, bu…
AMD's Ryzen AI Halo mini PC, built on the Ryzen AI Max+ "Strix Halo" platform, began shipping this week after pre-orders last month. Phoronix tested the device, which features fully open-source softwa…
A developer explains how to run large language models locally, recommending Gemma 4 and Qwen 3.6 families for most users with 24-64GB memory, and noting that Gemma 4 31B is best for non-coding tasks w…
A developer achieved 3x better batch throughput with Qwen3.5 by fixing vLLM on AMD's Strix Halo using the Lemonade Server, enabling more efficient AI inference on AMD hardware.…
Local LLM inference splits into two phases—prompt processing (compute-bound) and generation (memory-bandwidth-bound)—explaining why hardware with identical token generation speeds can have vastly diff…
NVIDIA's Blackwell architecture leads the inaugural AgentPerf benchmark for agentic AI. AMD opens pre-orders for its Linux-friendly Ryzen AI Halo developer platform featuring the Strix Halo APU. Linux…
AMD opened pre-orders for its Ryzen AI Halo developer platform, a mini PC powered by the Ryzen AI Max+ "Strix Halo" processor with official Linux support and up to 128GB of unified memory for running …