…To keep pace with high-speed electronic markets, latency-sensitive firms often use specialized hardware like FPGAs and ASICs. Yet, as markets grow more efficient, traders increasingly depend on advanced models such…
…View all posts by Zach Corse View all posts by Zach Corse About Mohammad Mohajerani Mohammad Mohajerani is a senior product manager at NVIDIA, where his work enables high-performance simulation and…
…Getting started The performance dynamics of DeepSeek-V3 on the Blackwell Ultra highlight a critical, but often overlooked bottleneck in inference: the computational cost of non-linear operations. By optimizing and compressing…
…Nsight Systems provide valuable insights for optimizing AI, high-performance computing (HPC), pro-visualization and gaming applications. Explore Key Features Trace CPU and GPU Workloads Nsight Systems latches on to target applications…
…product attention. This variation in compute workload across packed samples is known as data-parallel (DP) computational imbalance. This imbalance causes GPU idling, as some DP ranks wait for others with higher…
…In practice, choosing SFT using LoRA is a fast path to useful customization without the full cost of fine-tuning. A model that would require multiple high-end GPUs for full fine…
…These capabilities empower organizations to continuously evaluate, debug and refine AI agent workflows for higher accuracy and efficiency—ultimately supporting reliable, transparent, and high-performing agentic AI systems at scale. Agentic AI…
…Second, and more critically, these studies require a “heuristic pause.” After every cycle, an expert must manually synthesize high-dimensional data to decide how to pivot parameters for the next run. This…
…easy-to-use and efficient deployment paths because the cost of serving such LLMs is becoming higher. One way to reduce this cost is to apply post-training quantization (PTQ), which consists…
…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. Over-provisioning: Engineers request…