SYNTH / Blog
Insights from the Rack-Scale Frontier
Practical thinking on NVIDIA architectures, the roadmap ahead, and building AI in Southeast Asia.
GB300 NVL72 vs H100: Why Rack-Scale Architecture Is the Future of AI Compute
Not a faster card — a rack that behaves as one GPU. What the 288GB-per-GPU generation actually changes.
From Blackwell to Rubin: Reading NVIDIA's Roadmap for What Comes Next
What actually changes between generations — and why planning a generation ahead beats chasing the current one.
The State of AI Compute in Southeast Asia: 2026
Demand is exploding while frontier GPUs sit overseas. Why local deployment in Thailand — under PDPA — is the answer.
H200 vs H100: When Does the Upgrade Actually Pay Off?
The H200 isn't a new architecture — it's Hopper with far more memory. That distinction decides when the upgrade pays.
Sizing Infrastructure for Trillion-Parameter Models: A Practical Framework
Memory first, interconnect second, FLOPS last — and why MoE makes the highest-memory GPUs win.
Reading About It Isn't the Same as Running It
We'll benchmark your workload on real H100 and H200 silicon so you can decide on data, not specsheets.
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