…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…
…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…
…Before joining, he led product focused on quantum computing, machine learning, and tensor networks for materials design at GenMat. Tom also worked at Xanadu and Rigetti in product management, product operations, and…
…Identifying areas of low utilization and migrating workloads to them is one of the best ways to ensure the highest return on investment. For these reasons, GPU‑aware monitoring is essential at…
…Register your DGX Spark on NVIDIA Brev → Start building The DGX Spark updates at Computex 2026 reduce the two biggest blockers to building production-quality local agents: time to first agent and…
…high-level frameworks without requiring code changes Performance benefits scale with sequence length, with dramatic improvements for sequences ≥ 256K tokens Multinode deployments see the largest gains, making NVSHMEM essential for production long…
…He has worked on both GPU and CPU architectures across a wide range of products ranging from low-power smartphone SoCs to high-performance server processors. He holds a master’s degree…
…a projected global shortfall of ~10 million clinicians by 2030, billions of diagnostic exams annually with significant unmet demand, hundreds of millions of procedures with large access gaps, and costly operating room…