🖥 GPUs - emschwartz · Scour

NVIDIA Nemotron 3 Super is now available on Together AI

together.ai·17h

🏗️LLM Infrastructure

raketenkater/llm-server: Smart launcher for llama.cpp / ik_llama.cpp — auto-detects GPUs, optimizes MoE placement, crash recovery

github.com·5h·

Discuss: r/LocalLLaMA

🏗️LLM Infrastructure

AluminatiAI – per-job GPU cost tracking (Nvidia-smi shows watts, not dollars)

news.ycombinator.com·1d·

Discuss: Hacker News

📊Model Serving Economics

The AI hardware crunch: CPUs join the chip shortage

qz.com·8h·

Discuss: r/hardware

⚡Hardware Acceleration

Gemini Embedding 2 🧩, Meta acquires Moltbook 🤖, Nvidia + Thinky ⚡

tldr.tech·17h

Ayar Labs taps Wiwynn to cram 1,024 GPUs into a photonic rack system

theregister.com·4h·

Discuss: Hacker News

🏗️LLM Infrastructure

As Open Models Spark AI Boom, NVIDIA Jetson Brings It to Life at the Edge

blogs.nvidia.com·1d

Nvidia plans NemoClaw launch, an open-source platform for AI agents

thenewstack.io·22h

AI neocloud Nebius receives $2 billion investment from Nvidia

techzine.eu·4h

📊Model Serving Economics

Thinking Machines Lab inks massive compute deal with Nvidia

techcrunch.com·1d

📊Model Serving Economics

Nvidia plans to invest $2B in Amsterdam-based Nebius as part of a partnership to build AI data centers and deploy 5GW+ of Nvidia systems by the end of 2030 (Blo...

techmeme.com·4h

Show HN: Run 100 RAG experiments in parallel, even on a single GPU

news.ycombinator.com·1h·

Discuss: Hacker News

🏗️LLM Infrastructure

Using GPUs And LLMs Can Be Satisfying for Nonlinear Real Arithmetic Problems

arxiv.org·1d

⚡Hardware Acceleration

Ai2 at NVIDIA GTC 2026

allenai.org·1d

Import AI 448: AI R&D; Bytedance's CUDA-writing agent; on-device satellite AI

importai.substack.com·1d·

Discuss: Substack

🛡️AI Safety

New in Together GPU Clusters: Autoscaling, observability, and self-healing

together.ai·1d

🏗️LLM Infrastructure

How NVIDIA Builds Open Data for AI

huggingface.co·21h

Architectural Design and Performance Analysis of FPGA based AI Accelerators: A Comprehensive Review

arxiv.org·13h

⚡Hardware Acceleration

Brain-inspired device could lead to faster, more energy-efficient AI hardware

techxplore.com·2h

🖥️Hardware Architecture

NVIDIA's AI Engineers: Agent Inference at Planetary Scale and "Speed of Light" — Nader Khalil (Brev), Kyle Kranen (Dynamo)

latent.space·1d

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