A história da NVIDIA

The history of NVIDIA

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

AMD vence a Nvidia em todas as especificações — e mesmo assim perde

AMD beats Nvidia on every specification — and still loses

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

Servidor de IA recondicionado com 64 GB de VRAM

Refurbished AI server with 64 GB of VRAM

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

Como funcionam as placas de vídeo

How graphics cards work

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

GPU vs TPU: como os chips de IA funcionam

GPU vs TPU: how AI chips work

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