According to BlockBeats, on July 25th, based on BIT (bit.com) data, the three major U.S. stock indexes closed mixed on Friday. The Dow Jones Industrial Average rose 0.46%, the S&P 500 rose 0.05%, and the Nasdaq Composite fell 0.64%. The Philadelphia Semiconductor Index plummeted 4.25%.

In terms of individual stocks, SanDisk fell over 10%, Coherent fell over 9%, SK hynix fell over 8%, and Kioxia ADR fell over 14%. In addition, chip stocks such as Marvell Technology, Intel, Western Digital, and Micron Technology all experienced significant declines.

Tesla shares fell more than 2%, bringing the week's total decline to nearly 18%, marking the biggest weekly drop since 2022; SpaceX shares continued to hit new lows, falling more than 7% this week.

According to BlockBeats, on July 25, AMD announced the launch of Instella-MoE, a fully open-source hybrid expert model (MoE). The model has 16 billion total parameters, with each token activating 2.8 billion parameters, and claims to have leading performance among open-source language models of the same size.

AMD stated that Instella-MoE was trained from scratch entirely on its own AMD Instinct MI300X and MI325X GPUs and the ROCm software stack, and adopted architectural innovations such as Gated Multi-head Latent Attention (Gated MLA) and FarSkip-Collective to improve training and inference efficiency.

Performance tests show that the Instella-MoE-16B-A3B base model achieves an average score of 76.7, ranking first among fully open-source models, surpassing models such as SmolLM3-3B and OLMo-3-7B, and competing with larger-scale models with only 2.8 billion activated parameters.

In addition, the model supports 64K token long context processing and completes the entire training process, including pre-training, mid-training, long context expansion, supervised fine-tuning (SFT), direct preference optimization (DPO), and reinforcement learning (RL).

AMD has simultaneously released all model weights, training configurations, data ratios, intermediate checkpoints, and inference code for Instella-MoE, promoting open AI model research and reproduction.

AMD stated that Instella-MoE demonstrates the ability to train large-scale MoE models based on AMD hardware and the open software ecosystem, and will continue to advance the development of larger-scale, more powerful, and more efficient open-source language models in the future.