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The article shares practical lessons for building low-latency, high-throughput AI agents, including workload estimation, token reduction, parallelism, microservices, and handling LLM failures.
Kog announces real-time LLM inference achieving 3000+ output tokens per second per request on standard datacenter GPUs, bringing high-speed inference previously limited to custom silicon to production hardware.
Arc Institute's PerturbSpace enables high-throughput single-cell profiling of transcriptome, location, CRISPR guides, clonal relationships, and surface proteins from many samples in one day, using standard single-cell sequencing.
H Company releases Holotron-12B, a multimodal computer-use agent optimized for high-throughput inference using a hybrid SSM architecture. The model, post-trained on NVIDIA Nemotron, demonstrates superior efficiency and scalability for interactive agentic workloads.
Google introduces Gemini 3.1 Flash-Lite, a high-speed, cost-efficient AI model available in preview via Google AI Studio and Vertex API, designed for high-volume developer workloads.