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A US-based GPU repair technician claims that NVIDIA RTX 5090 variants with 64GB and 96GB of VRAM exist, suggesting potential pro-grade or workstation versions of the Blackwell consumer card.
Someone has released an open-source tool called 'gpu-unlock', claiming it can remove NVIDIA's software restrictions on GeForce graphics cards, substantially boost the computing power of the RTX 3060/3090/4090, and significantly accelerate AI workloads such as image generation, model fine-tuning, and LLM inference.
NVIDIA released NemotronLabs RE-USE, a 9.6M-parameter multilingual universal speech enhancement model that restores speech quality across diverse degradations and sampling rates, outperforming larger open-source USE models while being ready for commercial use.
NVIDIA and partners worldwide are expanding physical and agentic AI deployments for city services, from resident-service agents and vision agents to digital twins, using Cosmos, Nemotron, Omniverse, and Metropolis across Spain, the US, Poland, and Malaysia.
NVIDIA introduces Cosmos Framework, an open, modular platform for training, post-training, optimizing, and deploying world foundation models for physical AI, covering RL pipelines like DPO, GRPO, PPO, and serving via Cosmos NIM microservices.
A discussion of NVIDIA's TriAttention research on KV cache compression in vLLM, arguing that real gains come from freeing GPU memory blocks rather than evicting tokens, with reported 2.5× faster decoding and 10.7× less KV cache memory.
Amazon is allegedly canceling GPU and compute hardware orders and, in some cases, closing customer accounts, with Epic's Tim Sweeney among those affected. It's unclear whether the cancellations stem from a glitch or an anti-scalper policy amid high demand for AI hardware.
AMD is pouring substantial engineering and compute resources into vLLM to bypass NVIDIA’s CUDA moat, drive the standardization of inference software, and break hardware lock-in—benefiting the entire ecosystem while yielding asymmetric returns for the two companies.
A tweet speculates about NVIDIA decommissioning the RTX 5090, quoting a claim that 64GB and 96GB versions of the RTX 5090 have been confirmed.
NVIDIA released Nemotron 3.5 Bolt E4B 4GB, a post-trained Gemma 4 E4B model with multi-turn agentic and conversational capabilities optimized for running on RTX, Jetson, and DGX Spark devices, claiming ~40% higher quality and ~80% fewer output tokens than peers.
A Halloween blog post shows how an interactive 'MonsterHouse' haunted house was built using NVIDIA's open Nemotron models, combining ASR, a small language model, zero-shot TTS, and Audio2Face-3D to make a grumpy garage door talk to trick-or-treaters on a single workstation.
Breakthrough Listen and the SETI Institute are deploying agentic AI on the Allen Telescope Array, powered by NVIDIA Holoscan, to autonomously steer the instrument and process terabits per second of sensor data in real time — already achieving the first real-time AI detection of a pulsar in the Crab Nebula.
NVIDIA 发布 RTX Spark 笔记本，将 Grace CPU 与 Blackwell GPU 封装在同一芯片上，共享最高 128GB 统一内存，AI 算力达 1 petaflop FP4，面向本地大模型运行场景。
NVIDIA 发布 Metatron v1，一个统一的 Unitree G1 人形机器人控制策略，将行走、场景交互与恢复整合为单一 MaskedMimic 风格 transformer 学生模型，并提供原生 PyTorch 检查点与 ONNX 浏览器导出。
NVIDIA releases AlpaJudge, a family of learned judge models for evaluating autonomous-driving reasoning, with reference-based and reference-free checkpoints available on Hugging Face under the OpenMDW-1.1 license.
A complete Dell workstation equipped with a 96GB NVIDIA GPU may cost less than the standalone graphics card alone, highlighting shifting pricing dynamics in the high-end GPU market.
The AI boom has led to a new phenomenon called "dark GPUs" — vast quantities of Nvidia AI chips, including Amazon's, sitting idle in warehouses because there isn't enough electricity infrastructure to power them yet.
A Reddit user reports that Dell is currently selling RTX 6000 Pro Blackwell workstation GPUs bundled in Dell desktops for around $12k, and with discounts and rewards the net cost of just the GPU could drop to roughly $10k — an unusually low price amid high GPU demand.
Rohan Paul cites Epoch AI data showing total compute of AI chips in use grows 3.4x yearly, but warns that if new chip purchases slow to 2.5x growth, overall compute growth will follow.
@NVIDIARTXSpark shares three techniques to accelerate Mixture-of-Experts (MoE) inference on the NVIDIA DGX Spark, covering optimized kernels, FP8 quantization, and multi-token prediction to boost tokens per second.