… AI-generated content may summarize information incompletely. Verify important information. Learn more Modern supply chains operate under the constant pressures of fluctuating demand, volatile costs, constrained capacity, and interdependent decision-making. …
… Popular API providers discount cache hits by approximately 90%, so at a 95% cache hit rate, input processing cost drops by about 85%; without prompt caching, the cost here would be roughly 6x higher. Coding agents commonly sustain 95-98% cache hit rates, especially when tool output stays small. …
… Together, these gains improve total cost of ownership TCO by enabling teams to fit more usable AI capacity into the same rack, row, or data center, extend the life of existing facilities, and plan future expansions around GPU capacity instead of storage overhead. …
Agentic AI / Generative AI Speeding Up Variable-Length Training with Dynamic Context Parallelism and NVIDIA Megatron Core Jan 28, 2026 By Kunlun Li , Tailai Ma , Parth Mannan , Sophia Yang , Guohao Wu and Chenyu Wang Discuss 0 Discuss 0 L T F R E This post introduces Dynamic Context Parallelism Dyn… …
… NVIDIA Run:ai’s intelligent scheduling strategies : Four key capabilities that enhance performance lower latency, increase TPS/GPU while increasing GPU utilization and reducing compute costs. …
… NVIDIA GB200 NVL72 delivers order‑of‑magnitude improvements in tokens‑per‑second and cost‑per‑million‑tokens versus the previous generation, and leading inference providers report up to 10x lower cost‑per‑token on real workloads when they pair Blackwell with optimized stacks. …
… AI-generated content may summarize information incompletely. Verify important information. Learn more Almost all manufactured products are enabled by chemistry and materials science. However, new discoveries are costly and time-consuming and often hindered by trial-and-error approaches. …
… Every miss is a full prefix recomputation which is a significant performance bottleneck and extremely costly for an end user. Dynamo’s router maintains a global index of which KV cache blocks exist on which workers. …
… The observability gap in GPU-Accelerated Kubernetes clusters For site reliability engineers SREs and platform teams managing GPU-accelerated Kubernetes clusters, two failure modes are common and costly. …
… To get started, check out these resources: VC-6 samples Examples for VC-6 encoding and selective decoding Benchmark suite to reproduce our results with Hugging Face datasets VC-6 AI Blueprint Demo showcasing VC-6 selective decoding in vision AI pipelines Reference integration patterns for multiple … …