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TFThe Flux Readthefluxread.hashnode.dev2d ago · 2 min read

Inside the Gemini-Powered Siri: Why Apple Rented Its AI Brain from Google

Apple officially shipped its flagship Siri overhaul, but the core reasoning engine isn't running on native silicon—it's powered by a customized, 1.2 trillion parameter Google Gemini model. For develop

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ASAsada Shinsakuguidingstar.hashnode.dev6d ago · 24 min read

The World Was Already Moving: NVIDIA's Hugging Face Acquisition & GPT-6 (A Japanese Engineer's View)

NVIDIA agreeing to buy Hugging Face for something like thirteen billion dollars, and OpenAI shipping GPT-6 Astra, landed on the same day — September 3rd. For about twenty-four hours my feed couldn't d

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VSvikas sharmavkdigiservices.hashnode.devSep 9 · 7 min read

GPU Dedicated Server: Building a Reliable Computing Environment for Modern AI

Artificial intelligence is changing the way software teams build products, analyze information, and automate business processes. From machine learning models and computer vision to generative AI and l

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VSvikas sharmavkdigiservices.hashnode.devSep 8 · 2 min read

NVIDIA H100 Cloud GPUs for Advanced AI & LLM Training: A Practical Infrastructure Guide

Artificial intelligence workloads are becoming increasingly demanding. Training a large language model, developing a generative AI application, or running complex deep learning experiments can require

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SHSanskriti Harmukhvultr.hashnode.devSep 3 · 4 min read

Installing K3s with NVIDIA GPU Operator on Ubuntu 22.04

K3s is a lightweight, fully compliant Kubernetes distribution designed for simplified deployment and operation in resource-constrained environments. With a small memory footprint and a single-binary a

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SHSanskriti Harmukhvultr.hashnode.devSep 3 · 9 min read

Deploying Inference Using NVIDIA Dynamo and vLLM

NVIDIA Dynamo is an open-source, high-throughput, low-latency inference framework for deploying large-scale generative AI and reasoning models across multi-node, multi-GPU environments. It boosts LLM

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MNMir Nafis Sharear Shopnilnamikazi25.hashnode.devAug 31 · 13 min read

How I Got Qwen3.8-27B from 18.66 to 192.40 tok/s on One L40S

We recently deployed Qwen3.8-27B internally at work. The setup was fairly straightforward: one NVIDIA L40S serving the model through vLLM, LiteLLM in front of it for authentication and per-user API ke

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VSvikas sharmavkdigiservices.hashnode.devSep 1 · 3 min read

NVIDIA Latest GPU: A Look at Modern GPU Infrastructure for AI

Artificial intelligence is changing the way businesses use computing infrastructure. Generative AI, machine learning, computer vision, large language models, and other data-intensive applications can

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VSvikas sharmavkdigiservices.hashnode.devAug 31 · 1 min read

NVIDIA RTX 8000 Price | Specifications & GPU Guide

The NVIDIA RTX 8000 is a professional GPU designed for demanding graphics, visualization, rendering, simulation, and accelerated computing workloads. Its high memory capacity makes it suitable for app

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VSvikas sharmavkdigiservices.hashnode.devAug 29 · 2 min read

NVIDIA Most Powerful GPU: A Guide to High-Performance AI Computing

Artificial intelligence, machine learning, scientific computing, and large-scale data processing require significant computing resources. GPUs have become an important part of modern infrastructure be

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#nvidia

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Trending tags this week

Inside the Gemini-Powered Siri: Why Apple Rented Its AI Brain from Google

The World Was Already Moving: NVIDIA's Hugging Face Acquisition & GPT-6 (A Japanese Engineer's View)

GPU Dedicated Server: Building a Reliable Computing Environment for Modern AI

NVIDIA H100 Cloud GPUs for Advanced AI & LLM Training: A Practical Infrastructure Guide

Installing K3s with NVIDIA GPU Operator on Ubuntu 22.04

Deploying Inference Using NVIDIA Dynamo and vLLM

How I Got Qwen3.8-27B from 18.66 to 192.40 tok/s on One L40S

NVIDIA Latest GPU: A Look at Modern GPU Infrastructure for AI

NVIDIA RTX 8000 Price | Specifications & GPU Guide

NVIDIA Most Powerful GPU: A Guide to High-Performance AI Computing