AI Weekly Malaysia

At Nvidia’s GTC conference in Berlin, Jensen Huang told CNBC that demand for neoclouds is “off the charts,” but the missing piece is working capital to fuel growth. He said capital demand exceeds availability and that power is a major constraint, especially in Europe where electricity prices are higher. Huang said allocating scarce energy to companies like Nebius and Mistral is crucial for their growth.

Why: Huang frames the bottleneck as working capital and, in Europe, power allocation—not demand. If you are choosing GPU providers for AI or agent workloads, treat neocloud capacity and pricing as supply-constrained; for European deployments, factor in higher electricity costs and energy-allocation risk instead of assuming demand alone will produce cheaper capacity.

Part 1 of a Hugging Face/Amazon series walks through system-level profiling of TorchNeuron on AWS Trainium. It shows how to set NeuronConfig with DEVICE and RUNTIME modes, capture_enabled_for_nc='0', and correlate_device_time=True, then use NeuronProfiler.export_trace to write trace.json and read key_averages() to compare Self CPU time with Neuron device time. The walkthrough follows one operation through Neuron Explorer from PyTorch dispatch to runtime scheduling to NeuronCore execution, and compares three implementations of the same operation.

Why: If you run PyTorch on Trainium, this gives a concrete profiling recipe: set modes=[DEVICE, RUNTIME] and correlate_device_time=True so key_averages() lines up CPU and Neuron device time, then use that table to decide whether an op is CPU-dispatch-bound or NeuronCore-bound before rewriting it. If you are not on Trainium, there is no action here.

At the Invest in Germany Summit in Berlin, Nvidia named Agile Robots, Avelios Medical, Mirelo and Reflex Aerospace as German startup investment targets, part of a nearly $10 billion commitment to Europe's AI ecosystem. German Chancellor Friedrich Merz urged German businesses, especially SMEs, to "open your doors for AI to make use of your data." Nvidia also expanded its collaboration with the German government on industrial AI, while Siemens announced a wider partnership with Nvidia on AI-driven autonomous factories.

Why: For Malaysian builders this text gives no direct action: the named investments, government collaboration and Siemens partnership are specific to Germany and industrial AI. It only matters if you already sell into German manufacturing or Nvidia's partner ecosystem; otherwise it does not change your tooling, pricing or platform choices.