DeepSeek's DSpark speculative decoding technique, which combines parallel drafting with a lightweight sequential component, can improve local LLM generation speed on the same GPU, with DeepSeek report…
Nvidia and MediaTek announced a partnership on June 1, 2026, to build AI-powered laptops, automotive cockpits, and data-center infrastructure, with reports of a $3.5B–$4B investment by Nvidia in Media…
Elon Musk agreed with a viral tweet arguing that 1990s 3D games like id Software's Doom were the precursor to modern AI, replying 'True' to a post by X user Dan (@KettlebellDan). The theory holds that…
Nvidia launched the RTX Spark Arm-based superchip at Computex Taipei, targeting high-end laptops priced between $3,000 and $4,000 and capable of running 120-billion-parameter large language models loc…
Nvidia is winning the AI war by selling entire ecosystems rather than just chips, leveraging CUDA software gravity, TensorRT, NeMo, and Mellanox-owned InfiniBand networking to lock developers into its…
A developer reported that LM Studio's runtime auto-update silently broke model loading on an RTX 5090, with the error dialog showing an unsigned exit code that decodes to an NTSTATUS value indicating …
A developer explores Triton, a Python-based language and compiler for writing GPU kernels, to understand low-level GPU programming and performance. The developer explains how Triton abstracts GPU thre…
Researchers from the Technical University of Munich introduced GaussianGPT, a transformer-based model that generates 3D scenes autoregressively via next-token prediction on Gaussian splatting tokens, …
NVIDIA CUDA and TensorRT can significantly accelerate Physical AI workloads on NVIDIA hardware, according to a developer from v-modal. The developer explains that optimizing the complete data path, ra…
A forum user comparing CUDA and ROCm for local AI inference reports that ROCm issues have diminished and is considering an all-AMD build with dual R9700 GPUs by 2027, citing AMD's lower cost. Another …
A developer claims to have built a complete operating system, AOTX-1 (Ahead of Time eXecutive One), entirely in CUDA, with the kernel written in raw PTX. The OS includes networking (TCP/IP), graphics,…
An engineer's blog post explains GPU architecture for machine learning, focusing on NVIDIA's CUDA platform and the parallel processing capabilities of GPUs. It breaks down key components like Streamin…
An engineer detailed a practical approach to rightsizing AWS GPU instances without breaking production, emphasizing the importance of selecting the correct instance family (G5/G6 for inference, P4/P5 …
Nvidia CEO Jensen Huang said that for a vast array of specific, high-level tasks, Nvidia's ecosystem has already reached AGI-level capability, arguing that the term AGI lacks scientific rigor and has …
Qualcomm completed its acquisition of Modular, an AI software company co-founded by compiler pioneer Chris Lattner, to break Nvidia's lock-in by enabling AI models to run across different hardware. Qu…
A new benchmark, DataKernelBench, evaluates whether large language models can optimize database queries on GPUs, achieving up to 2.11x speedup over torch.compile on TPC-H SF10 with an H100 GPU. The be…
Asus's ProArt GeForce RTX 5090 32GB GDDR7 OC Edition, priced at $3,999, delivers field-leading compute and AI performance, rivaling Nvidia's GeForce RTX 5090 Founders Edition and earning an Editors' C…
A user with an AMD RX 7900 XT is considering adding lower-end Nvidia RTX GPUs to run multiple local AI models on different cards, but is concerned about potential issues with running ROCm and CUDA sid…
Nvidia Corp. is the primary driver of the AI market, with demand for its H100 and upcoming Blackwell architecture remaining insatiable, but the market is shifting from hardware demand to ROI reality, …
FreeToken, an LLM engine designed to maximize bandwidth across all hardware, faces a fundamental challenge: bit-exact reproducibility is impossible across different CPU and GPU architectures due to di…