Supercomputing clusters, distributed training fabrics, and inference accelerators
What happened.NVIDIA released RTX Spark laptops starting at $2,399, delivering workstation performance for local model inference to portable Windows personal computers.
Why it matters.Cloud inference costs and data residency restrictions throttle early-stage agent development. Local 128GB unified memory allows builders to prototype private agentic loops on a laptop.
What happened.NVIDIA contributed its Vera Rubin rack and compute tray blueprints to the Open Compute Project under the MGX 1.2 open standard. The release opens proprietary physical designs to third-party server manufacturers building gigawatt AI data centers.
What happened.Microsoft announced Azure Maia 300, its third-generation custom AI accelerator designed for high-density inference and multi-step agentic execution. The hardware uses a multi-chiplet architecture on TSMC's N2P node with 288 GB of HBM4 memory delivering 18 TB/s bandwidth per accelerator.
