The AI ecosystem will evolve into an "orchestration age" where large 'boss' models delegate tasks to a network of smaller, faster, specialized models. This means different chip architectures (e.g., NVIDIA for large models, Cerebras for speed) will function as complementary parts of a larger system, not just direct competitors.

By investing in chip designer Marvell, NVIDIA ensures that even when hyperscalers develop custom chips, they must still use NVIDIA's NVLink interconnect. This keeps NVIDIA embedded in the stack, preventing competitors like Broadcom from creating a completely proprietary, NVIDIA-free system.

Nvidia and Arm are simultaneously competing (Nvidia sells its own Arm-based CPU) and cooperating. Every Arm-based Nvidia chip sold helps challenge the Intel/AMD x86 duopoly and expands the software ecosystem for Arm architecture, which in turn benefits Arm's own direct chip sales.

The competitive landscape for AI chips is not a crowded field but a battle between two primary forces: NVIDIA’s integrated system (hardware, software, networking) and Google's TPU. Other players like AMD and Broadcom are effectively a combined secondary challenger offering an open alternative.

Large tech companies are actively diversifying their AI chip supply to avoid lock-in with NVIDIA. However, the true challenge isn't just hardware performance. NVIDIA's powerful moat is its extensive software and developer ecosystem, which competitors must also build to truly break free from its market dominance.

The demand for AI processing power so vastly outstrips supply that it creates a "compute deficit." This forces major AI players to adopt any viable chip solution they can find, including from AMD. It's not about being better than NVIDIA; it's about being available, ensuring a market for second and third-tier suppliers.

Major AI labs like OpenAI and Anthropic are partnering with competing cloud and chip providers (Amazon, Google, Microsoft). This creates a complex web of alliances where rivals become partners, spreading risk and ensuring access to the best available technology, regardless of primary corporate allegiances.

By launching its own CPU and competing directly with its licensing customers like NVIDIA and Qualcomm, Arm is creating a conflict of interest. This bold move could push its own partners to adopt open-source alternatives like RISC-V to de-risk their supply chains and avoid dependency on a direct competitor.

NVIDIA investing in startups that then buy its chips isn't a sign of a bubble but a rational competitive strategy. With Google bundling its TPUs with labs like Anthropic, NVIDIA must fund its own customer ecosystem to prevent being locked out of key accounts.