#nvidia

Boost LLM inference on a modded RTX 3080 20GB with P2P + ReBAR unlocks—achieving up to 115% faster prompt prefill speeds in tensor‑parallel mode.

Discover the latest AI shifts: from Nanbeige’s high‑performance LLM and NVIDIA’s software pivot to open‑source security fixes, subreddit bans, and crowd‑driven models—all reshaping the future of AI ethics and innovation.

Explore NVIDIA’s pivot to software‑based revenue—$2,000/GPUs yearly—and its impact on AI, gaming and investor sentiment.

AI breakthroughs: Qwen-Flash‑Next speeds up on consumer GPUs, DeepSeek‑V4.1‑Flash hits 2‑bit quantization, and mRNA melanoma vaccines cut recurrence by 42%.

Discontinued RTX 5090 GPUs are being re‑engineered in Chinese labs for high‑memory AI servers, sparking new trends in GPU repurposing, software tweaks, and cloud‑rental economics.

DeepSeek‑V4.1‑Flash quantized models drop memory use 1‑2 bits/weight while keeping 98‑100% of base‑model performance.

Discover how Qwen-Flash-Next’s speed varies with hardware and quantization – from 5,600 t/s on RTX 5080 to 70 t/s on modest GPUs.

AI hardware security faces new threats as OpenAI warns of AI‑driven exploits, while companies block TV reverse‑engineering and boost GPU performance with CMP170HX. Click to learn how these shifts reshape AI safety and efficiency.

Unlocking RTX 30/40 GPUs for LLMs: How the CMP170HX tool claims up to 2x prefill speed gains (and why skeptics doubt the hype).

Intel B‑Series price surge: B60, B65, B70 jump ~30% on Amazon. Find out current costs, where to buy cheaper, and how the rise affects AI workloads.