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<p>For one class of work, yes. Not for production serving. Not for latency-sensitive work with a person waiting on the</p>
Last week I provided a look at the Intel Xeon 600 series Hyper Threading performance with the Xeon 678X "Granite Rapids WS" processor for HT/SMT on and off. That was interesting wh...
One of the most compelling features for Intel Xeon 6 Granite Rapids alongside MRDIMMs is Advanced Matrix Extensions (AMX) for helping accelerate AI workloads and more. AMX is also...
I've been working on SoftRDP, a software implementation of the Nintendo 64 Reality Display Processor optimized for modern CPUs. Performance I did an end-to-end comparis...
With the Intel Xeon 678X "Granite Rapids WS" processor that I have been recently testing within the HP Z4 G6i workstation, there are 48 cores plus with Hyper Threading is a total o...
I have an AMD Strix Halo box — a Ryzen AI Max+ 395, Radeon 8060S iGPU (gfx1151), 128 GB of unified memory. On paper it’s a monster for…Continue reading on Medium »
Every application you touch today, from the browser rendering this article to the AI assistant summarizing your inbox, runs on silicon…Continue reading on Medium »
Today the AMD Ryzen 7 7700X3D goes on sale as the lowest-price AMD 3D V-Cache processor being marketed for gamers. This 8-core / 16-thread processor features a 4.5GHz boost clock a...
AI infrastructure conversations often start with GPUs. Accelerators provide much of the compute behind model training and inference, so the focus is understandable. But a productio...
Running AI models locally demands a distinct approach to hardware compared to traditional computing setups. As Kai explains, the focus shifts from raw processing power to achieving...
Привет, читатель! Посмотрим, как древнючий Broadwell аж из 2015 года выжимает все соки из своей подсистемы памяти (напомню, что это 1150 сокет с DDR3 оперативной памятью), приближа...
While I am a huge fan of the recent AMD Ryzen Zen4/Zen5-based consumer platforms, including the versatile Minisforum MS-A2, it
Running AI locally or on CPUs usually means accepting slower responses or using smaller, less capable models than GPU-hosted large language models (LLMs). At the same tim… The pos...
Following the recent GA of the AWS M9g series as the first instances powered by the new Graviton5 CPUs, I recently ran benchmarks looking at Graviton4 vs. Graviton5 CPU performance...
This is the first in a series of build-log posts documenting a local LLM project, in which models are run on owned consumer hardware rather than through a cloud API. The present en...
Один Beelink GTR9 Pro на Ryzen AI Max+ 395 выдал 236 tok/s суммарной генерации на 32 одновременных запросах в коротких прогонах и удержал в среднем 226 tok/s за 30 минут непрерывно...
A base M4 Mac mini with 16GB runs useful language models locally and serves them across a network. Here’s the full setup, the speeds it…Continue reading on Medium »
A minor performance optimization is on the way to the Linux kernel for roughly two decade old CPUs that have SSE but lack SSE2. Among those CPUs to benefit are the AMD Athlon XP se...
“Now the competition is four ways. Nvidia becomes a merchant CPU vendor, Arm and Qualcomm enter with their own silicon, hyperscalers scale Axion/Graviton/Cobalt, and x86 (Intel and...
Check out the specs for Apple's 'most powerful chip ever', and see how it performs in CG applications like Nuke and Redshift.
Delayed, flawed, yet still beautiful
HP recently launched their Z4 G6i workstation that I have been testing out the past few weeks. The HP Z4 G6i is powered by Granite Rapids WS with the review unit specifically being...
今まで生成AIというとGPUによる学習／推論がメインだったが、昨今はCPUの処理能力にも注目が集まっている。その背景にあるのは何なのか、AMDの開催したイベントを通して見ていこう。
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