Understand the NVIDIA B300, the HGX B300 platform, and the BIZON X9000 G5. We analyze the video featuring a Kimi K3 and vLLM benchmark for up to 128 users, along with memory, networking, power, and evaluation criteria.
If you have run a local LLM with Ollama or llama.cpp, you know it works very well — for one or two people. When demand becomes an API that must handle dozens of simultaneous requests, the situation changes: the GPU sits idle waiting, memory becomes fragmented, and throughput plummets. That is precisely the problem … Read more
Running AI models with 27 billion parameters at home usually runs into the same wall: the price of a GPU with plenty of VRAM. But there is a shortcut straight from data centers: the NVIDIA Tesla V100 with 32 GB, retired from cloud fleets in large numbers and sold used for a fraction of its original price — … Read more
In 1993, three engineers met at a Denny’s restaurant in California to found a graphics chip company in a market that already had dozens of competitors. Thirty years later, that company would become, at several points, the most valuable on the planet. This is the history of NVIDIA: from the flops that almost killed it … Read more
No technology company has died and been reborn as many times as AMD. Founded in 1969 to live in Intel’s shadow, it spent five decades alternating strokes of genius (Athlon, x86-64, Zen) with trips to the edge of the abyss — until an engineer named Lisa Su turned a US$ 2 stock into the largest … Read more
Video summary: this article is a detailed summary of “AMD Beats Nvidia On Every Spec And Still Loses” from The Stack. Video URL: https://www.youtube.com/watch?v=bOHhUVSDmrw On paper, there should not even be a contest: the AMD MI300X accelerator carries 192 GB of memory against 80 GB on the Nvidia H100 and moves 5.3 TB/s of bandwidth … Read more
Around 2013, Google ran the calculation that alarmed Mountain View: if every Android user used Search’s voice commands for three minutes a day on x86 CPUs, the company would have to double its data centers just for inference. Consumer GPUs were still adapted gaming cards. The answer was … Read more
VRAM determines the model. Dense Qwen 27B–32B, quantized Llama 70B, Mixtral 8×7B — these require 32 to 64 GB, not the 24 GB of a 4090. Engineer Donato Capitella, with Bargain Hardware, built a refurbished Supermicro with four data center GPUs (64 GB total) for around £2,000 and benchmarked V100, P100 … Read more
How many calculations does a graphics card perform per second to draw a Cyberpunk frame or train a network? Branch Education took apart an RTX 3090 — literally — and reconstructed the GA102 die in 3D. This article follows the video How do Graphics Cards Work? Exploring GPU Architecture. The generation … Read more
Behind every ChatGPT token, every Sora frame, and every LLM you run in Ollama, an accelerator performs the same calculation trillions of times: matrix multiplication. The two ways to do this in silicon — GPU (NVIDIA) and TPU (Google) — start from opposing philosophies. This article … Read more
