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#nvidia-hardware

@lyq_sqsp: Just saw this brilliant talk. Guessing the AES key is so real...

X AI KOLs Timeline ↗ · 2026-09-16 Cached

Researchers unlocked the full performance of Nvidia's CMP 170HX GPU, a restricted mining variant, by cracking the debug AES key and exploiting a firmware vulnerability, enabling its use for AI inference and computing tasks.

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#nvidia-hardware

@ayushtweetshere: this is Dario and sama's worst nightmare - A law firm buying Nvidia servers. Latham & Watkins is building an in-house A…

X AI KOLs Timeline ↗ · 2026-09-14 Cached

Latham & Watkins, the second-largest US law firm, is building an in-house AI stack with Nvidia hardware and open-weight models to fine-tune on proprietary legal data, reducing reliance on AI labs like OpenAI and Anthropic.

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#nvidia-hardware

@NousResearch: Our new new one-click local model setup is perfect for use with NVIDIA hardware

X AI KOLs Timeline ↗ · 2026-09-03 Cached

NousResearch introduces a one-click local model setup tool for NVIDIA hardware, making it easy to deploy AI agents on Windows and Linux systems.

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#nvidia-hardware

A practical guide to running 8x RTX PRO 6000's

Hacker News Top ↗ · 2026-08-31 Cached

This article provides a practical guide on running 8x NVIDIA RTX PRO 6000 Blackwell GPUs for AI workloads, emphasizing high-concurrency inference, model fleets, and 70B fine-tuning, while comparing performance to more expensive data center solutions.

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#nvidia-hardware

Introducing H3 Max by fal (5 minute read)

TLDR AI ↗ · 2026-08-28 Cached

H3 Max is a post-trained version of MiniMax H3 optimized for maximum speed, ranking #1 in human preference evaluations for video quality, prompt understanding, and aesthetics while generating videos up to 35x faster than the official endpoint.

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#nvidia-hardware

This is what Qwen 3.8 27b is capable of

Reddit r/LocalLLaMA ↗ · 2026-08-24

The article showcases the Qwen 3.8 27b AI model's ability to generate a sophisticated JavaScript and WebGL project for realistic real-time ocean rendering in the browser.

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#nvidia-hardware

@antirez: DS4 running on DGX Spark (GB10 / CUDA), private branch for now. 12 tokens/sec, the memory bandwidth is limited in this …

X AI KOLs Timeline ↗ · 2026-05-10 Cached

Antirez reports benchmarking DS4 inference on the DGX Spark (GB10), noting 12 tokens/sec generation speed and high prefill performance, with plans to merge the codebase once mature.

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