Tag
微软公布了其最新的 MoE 基础模型 MAI-Base-2（80B 激活参数 / 2.8T 总参数），在自研评测中超越所有开源权重模型，预训练 FLOPs 效率比 DeepSeek-V4-Pro-Base 高 4-12 倍，使用 16k 张 GB200 GPU 在 38 天内完成训练。
VC Tom Tunguz argues AI inference is on track to surpass databases as the most important software market, reaching ~$350B by 2027 and nearly 2x Gartner's database forecast. He details how usage-based inference costs, compressing gross margins, and BYOK will reshape application-layer SaaS economics.
River AI promotes its frontier AI development stack, claiming it helped Ivo's contract review agent jump from 70% to 91% on the LAB benchmark at lower cost than competitors, with RL training and inference on optimized open-weight models via River Cloud or on-prem clusters.
Tech giants are ending unmetered AI subscriptions, introducing compute bars and hourly caps that strain heavy workflows, signaling the end of cloud supercomputing as an infinite resource.
Nvidia is backing Span's initiative to deploy residential mini-data centers that leverage underutilized home electricity to run distributed AI workloads. The concept aims to bypass grid constraints by placing GPU nodes beside houses, though it remains largely unproven in real-world deployments.