…delivered compute performance, GPU-to-GPU communication, interconnect latency, memory bandwidth and capacity, utilization efficiency, and power delivery. Even small inefficiencies, when multiplied across trillions of tokens, undermine optimal cost, throughput, and…
…handling of temporal-spatial data in video, and efficient video sampling (EVS) enables processing of longer videos at the same computational cost by identifying and pruning temporally static patches. Stay tuned for…
…Demand forecasts by product, region, and time period. Production capacity and unit costs across facilities. Inventory holding costs and storage limits. Transportation costs and lead times. Business constraints such as service-level…
…Reducing power consumption through localized L2 access enables decreasing the L2 fabric clock and raising the compute clock through a Dynamic Voltage and Frequency Scaling (DVFS) mechanism associated with GPU Boost . In…
…Model pruning involves removing unimportant parameters, such as weights, neurons, or layers, from a trained model, resulting in a more compact model with accelerated inference speeds and lower computational cost. Knowledge distillation…
…GPUs, intelligently routing requests to the appropriate GPU to avoid redundant computation, and extending GPU memory through data caching to cost-effective storage tiers. Independent benchmarks show that GB300 NVL72 combined with…
…such as computer use agent, document intelligence, and video/audio understanding Highest in-class efficiency and with low costs Nemotron 3 Super 120B A12B Highest in-class efficiency and leading accuracy Great…
…Combined with convolutional 3D‑based temporal‑spatial processing, these optimizations enable sustained multimodal perception with lower compute costs across GPUs—from workstations to data center and cloud deployments. Designed to power sub…
…This post examines how to minimize the number of inference calls and maximize what each call accomplishes, reducing contention on the GPU between graphics and compute. Code agents: Trapping the ghost Andrej…
…More aggressive schemes, like W4A16, reduce memory and bandwidth needs while maintaining acceptable accuracy. NVIDIA NVFP4 further improves efficiency with hardware-friendly 4-bit computation. Together, these approaches enable faster, cost-effective…