The GPU Revenue Ladder
SpaceX's third-quarter report & DeepSeek's inference disclosure together price one GPU card-hour four ways, from DeepSeek's theoretical $38 maximum to SpaceX's realized $2.44....
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SpaceX's third-quarter report & DeepSeek's inference disclosure together price one GPU card-hour four ways, from DeepSeek's theoretical $38 maximum to SpaceX's realized $2.44....
<p class="wp-block-paragraph">You added GPUs to make your LLM serving faster, and tokens-per-second barely moved. The dashboard says the GPUs are 40%</p>
Why AI inference is a system-level workload, and how to balance hardware for production LLMs.Continue reading on Medium »
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Researchers at IIT-Delhi have developed India’s first working and demonstrable indigenously designed micro Graphics Processing Unit (micro-GPU), marking a significant step towards...
India is preparing for a major AI computing expansion. AM Intelligence, backed by the people behind Greenko, has ordered another ... Read More
AI development is no longer limited to large technology companies. Developers and businesses are increasingly using GPU infrastructure for model inference, image generation, video...
A simple guide to the real GPU metrics and monitoring tools you need to run AI inference without wasting money or losing performance.Continue reading on Medium »
1. Introduction: Anatomy of the BottleneckContinue reading on Medium »
A processor uses 3D stacking and AI instructions to run inference while reducing power use and the number of servers required. Fujitsu’s FUJITSU-MONAKA processor is designed for AI...
Intel announced today the GPU D Series for the enterprise-focused, inference-optimized GPU accelerators known to now as Crescent Island...
Traditionally, production inference systems rely on generic kernels to handle diverse...
NVIDIA’s introduction of the NVFP4 format for its Blackwell GPUs offers a compact four-bit floating-point representation designed to optimize AI workloads. As highlighted by The St...
Running a neural network on the GPU — with Kotlin?Continue reading on ProAndroidDev »
Мощная видеокарта не всегда означает быстрый локальный запуск LLM. Разбираемся, почему GPU может простаивать, как на производительность влияют память, KV‑кэш и движок инференса, и...
<p class="wp-block-paragraph"><em>Field Note — one real failure, the wrong diagnosis, the actual cause, the fix.</em></p> <p class="wp-blo...
This article provides a step by step deployment guide for Gemma 4 E2B's quantization-aware-trained (QAT) checkpoint to a local, laptop hosted GPU enabled system — a much old...
AM Intelligence brings frontier AI compute to India.AM Intelligence (AMI) is building a full-stack AI infrastructure ecosystem spanning energy, data-centre infrastructure, hardwar...
Компания Giga Computing, являющаяся подразделением Gigabyte, объявила о создании площадки GAIFA (Gigabyte AI Factory Accelerator) — своего первого вычислительного центра в области...
Infinigence AI open-sources APXInf with Tsinghua and SJTU: PI 0.5 FP8 on Jetson Thor drops end-to-end latency from ~278 ms to ~26 ms (~38.46 Hz), with Orin/Thor/RTX 4090 support an...
nvidia-smi tells you the card is busy. It does not tell you the card is working.Continue reading on Medium »
At the 2026 China Computing Power Conference, China Mobile Cloud and partners unveiled a domestic GPU plus neuromorphic mixed-inference system for large models, citing roughly 2× o...
Компания Intel официально представила графические ускорители серии D на саммите Open Compute Project (OCP) 2026. Ранее известная под кодовым названием Crescent Island новинка тепер...
Наш проект называется ExVRAM Lab. Это открытая исследовательская лаборатория, в которой мы проверяем, насколько большие локальные LLM можно запускать на обычных видеокартах с огран...
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