Nebius Highlights AI Infrastructure Evolution at RAISE
anselm · x · 2026-07-11
This post reviews Nebius's presence at the RAISE Summit and reflects the AI infrastructure industry's pivot over the past year:
- A year ago, the focus was on what models "can do"; now, the emphasis is on speed, reliability, and economics, and how to support the next wave of AI products.
- Discussions covered engineering topics like routing, KV cache, prefill/decode, speculative decoding, MoE, latency, and cost per token.
- Multiple sessions explored the next steps for AI hyperscalers, whether the market has moved beyond buying raw GPU capacity, and how to operate AI infrastructure in multi-model, multi-cloud, and multi-client environments.
- The author also hosted a workshop on transitioning from "calling AI" to "engineering AI."
Overall, it's an industry observation noting the maturation of AI infrastructure, with compute and inference efficiency becoming the core battleground.
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