AMD Expert: The Speed at Which AMD Is Catching Up to Nvidia May Be Underestimated by the Market

According to an AMD insider in the latest interview on AlphaSense, an industry expert interview platform, AMD is accelerating its pace to catch up with NVIDIA in the artificial intelligence accelerator market, with a speed that may exceed the general market expectations. The anonymous AMD employee systematically explained the path and logic of AMD narrowing the gap from three dimensions: software ecosystem, customer strategy, and network connectivity.

ROCm Ecosystem Accelerates Evolution, Interoperability as a Key Breakthrough

On the software level, the expert acknowledges that CUDA still significantly leads in market adoption rates compared to AMD's ROCm platform, but emphasizes that recent ROCm iterations are moving in the right direction. The most strategically significant development is the introduction of interoperability with NVIDIA hardware on the training side of AMD's new MI455 architecture, allowing customers to deploy hardware from both vendors and switch as needed, providing a truly viable flexible option for teams unwilling to fully bet on a single supplier.

The expert also pointed out that the ROCm deliberately streamlined the middle layer between the kernel and the user interface in architectural design, and heavily relied on open source community contributions, forming a stark contrast with NVIDIA's closed ecosystem. This design philosophy is consistent with AMD's consistent advocacy for openness at the hardware level.

Turnkey Solutions Targeting Emerging Cloud Vendors

In terms of customer service models, the expert pointed out the most core strategic differences between the two companies. NVIDIA is accustomed to providing reference designs, requiring customers to complete integration and verification around their solutions; AMD takes the initiative to provide fully validated "turnkey" complete solutions, completing all integration work before handing over to customers. The expert sees this as a real differentiated competitive advantage for AMD.

This strategy is particularly effective for emerging cloud service providers. Compared to large cloud vendors like Amazon Web Services and Google Cloud, these companies have relatively limited engineering resources and have a stronger demand for verified solutions that can be directly deployed without their own integration. The expert believes that once AMD can fully prove its strength in performance, the decision on supplier selection for emerging cloud vendors will be quite direct. The continuous involvement of hyperscale customers such as META, Google, and Broadcom will further strengthen the market credibility of AMD's solutions.

Network Interconnect Advantage is NVIDIA's Last Stronghold

The expert attributes the core of NVIDIA's current competitive advantage to its network interconnect capabilities - this advantage is rooted in NVIDIA's acquisition of Mellanox in 2020, thereby building a complete interconnection ecosystem covering InfiniBand and NVLink. However, the expert expects that this advantage will gradually diminish over time.

META is driving more vendors into the field through its continuous contributions to the Open Compute Project (OCP), and the standardization of data transfer protocols is also accelerating. As more and more experienced vendors enter this increasingly open ecosystem, the expert expects that open solutions will eventually surpass NVIDIA's own designs in terms of both performance and pricing, thereby fundamentally eroding its network-side moat.