硬體

AI 晶片、GPU、資料中心、邊緣裝置與硬體安全。

Linus Torvalds Draws a Line on AI in the Linux Kernel: No Ban, and No Letting Anti-AI Positions Hijack the Project

In a discussion about integrating Sashiko with Patchwork, Linus Torvalds made it clear that the Linux kernel is not an anti-AI project; opponents are free to fork it under open-source rules or leave. This is not blanket approval of AI-generated output, but an application of existing technical evaluation standards to AI tools: the results must be useful, while human maintainers and contributors remain accountable.

2026-07-23

AI 科學與高效能運算

U.S. Department of Energy Launches 278 AI Science Workflow Projects Linking Agent Frameworks, Models, and National Laboratory HPC

The first group of Genesis Mission projects spans nuclear energy, critical minerals, chip design, and commercial fusion. Research teams will share models, agent frameworks, and high-performance computing resources. OpenAI has separately committed Codex access and API credits to support about 2,000 researchers and two large-scale scientific experiments.

2026-07-23

訓練系統

SLAI T-Rex Achieves 34.22% MFU in Full-Parameter Post-Training of a Trillion-Scale MoE on Ascend SuperPOD

The research team redesigned parallelization strategies, communication scheduling, kernels, and operator fusion for the DeepSeek-V4 family, bringing Ascend training efficiency to 2.93× the open-source baseline. The system was also used to train an operations research model on solver-verified data, though more complete public reproduction of the code, data, and hardware measurements is still needed.

2026-07-23

推論系統

BaseRT Directly Drives M5 Neural Accelerators via Metal 4, Achieving Up to 6.4× Faster Prompt Processing Than llama.cpp

BaseRT has added hand-written dense and MoE GEMM and FlashAttention kernels, offloading matrix operations during the prompt-processing stage to the neural accelerators inside the M5 GPU. The team reports substantial leads over llama.cpp and MLX on the M5 Pro, although the figures currently come solely from the developers’ own single-machine tests.

2026-07-23

具身 AI／機器人

RynnBrain 1.1 Adds Contact Points and Native 3D Grounding to an Embodied Foundation Model, Trains VLA Across Three Robots

Alibaba’s DAMO Academy has released three RynnBrain 1.1 models—2B, 9B, and 122B-A10B—adding contact-point prediction and native 3D grounding. The accompanying RynnBrain-VLA is trained across Unitree G1, Astribot-S1, and Tianji Wuji using a unified action space, although evidence for cross-hardware generalization still comes primarily from the team’s own experiments.

2026-07-23

AI 基礎設施

Anthropic to Expand Compute Capacity by 2 GW With AMD Helios and Use Claude to Optimize ROCm

Anthropic plans to deploy its first AMD Instinct MI450-series GPUs starting in the first half of 2027, with a total capacity of up to 2 GW. The partnership goes beyond hardware procurement: the companies will also use Claude to optimize GPU workloads and the ROCm software stack.

2026-07-23

OpenAI Splits GPT-5.6 Into Sol, Terra, and Luna, Standardizing a Million-Token Context Window and Agent Tool Interface

The GPT-5.6 family is now generally available, with Sol, Terra, and Luna covering maximum capability, balanced cost, and high-volume, low-cost workloads, respectively. All three models share a long-context architecture and tool interface, but their inference costs, safety behavior, and real-world quality still require separate evaluation.

2026-07-23

推論系統

NVIDIA Releases Nemotron 3 Embed, Including an NVFP4 Checkpoint for the 1B Model

Nemotron 3 Embed offers text embedding models in 8B BF16, 1B BF16, and 1B NVFP4 variants. The low-precision version treats memory efficiency and throughput as first-class design goals for retrieval models, but its quality still needs to be validated on target corpora.

2026-07-23

硬體

NVIDIA Spectrum-6 Pushes Single-Chip Ethernet Switching Capacity to 102.4 Tbps

NVIDIA has begun deploying Spectrum-6 switching systems designed for the Vera Rubin platform, delivering 102.4 Tbps of throughput on a single chip. The products also introduce 800Gb/s ports, liquid cooling, and co-packaged optics options, targeting scale-out networks with more than 100,000 GPUs.

2026-07-22

硬體

Azure to Adopt AMD Helios, Add Compute Instances for Large-Scale Inference, Data Pipelines, and Chip Design

Microsoft plans to deploy AMD Helios at scale on Azure and launch HDv2 and HXv2 instances powered by sixth-generation EPYC processors, along with MI455X inference instances. The infrastructure update co-designs GPUs, CPUs, DPUs, networking, and software, though its real-world price-performance remains to be demonstrated through public testing.

2026-07-23

推論系統

LiteRT.js Brings the Native LiteRT Inference Stack to the Browser, Connecting WebGPU, Wasm, and Experimental WebNN

Google has released LiteRT.js, enabling web applications to run `.tflite` models directly and use the CPU, GPU, or NPU depending on the device. It shifts browser-based AI away from JavaScript-centric runtimes toward a cross-platform native execution stack, although performance and compatibility still depend heavily on the browser and hardware.

2026-07-23

推論系統

Google Launches LiteRT.js, Bringing the Native LiteRT Inference Path to the Browser

LiteRT.js wraps Google’s cross-platform inference runtime in WebAssembly, using XNNPACK, WebGPU, and experimental WebNN for CPU, GPU, and NPU execution, respectively. It makes it easier to move existing `.tflite` models to client-side execution, but performance and compatibility still depend heavily on the browser and device.

2026-07-22