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AI Infrastructure

117 summarised stories about AI Infrastructure, each linking back to the original source. Browse all topics →

Tuesday, 30 June 2026

How NVIDIA’s Inference Software Stack Powers the Lowest Token Cost

NVIDIA 2 weeks ago

NVIDIA's inference software stack has reduced token costs for DeepSeek V4 by up to 5x on the Blackwell platform within one month through optimizations across production operations, application acceleration, and infrastructure access layers. Companies like Baseten, Cognition, and Deep Infra are using NVIDIA's TensorRT-LLM and Dynamo frameworks to achieve throughput gains ranging from 30% to 50% improvements in token generation speed. The full-stack approach compounds individual optimizations to increase Blackwell token throughput per GPU by up to 20x, enabling lower cost-per-token for production AI inference workloads.

Together AI at ICML 2026: frontier research across the full stack

Together AI 2 weeks ago

Together AI published nine research papers at ICML 2026 spanning AI agent development, model reasoning techniques, and inference optimizations across the full ML stack. Key results include DSGym evaluating data-science agents across 1,000+ tasks, Aurora achieving 1.25× speedup through adaptive speculative decoding in production, and ParallelKernelBench establishing the first multi-GPU kernel generation benchmark with 87 workloads. These advances enable faster inference, better reasoning without verifiers, and more efficient use of GPU resources for frontier AI systems.