Breaking the Memory Wall: Why AI Training and Inference Are Slow—and How to Scale
Performance does not scale linearly with hardware spend. Understanding the bandwidth ceiling is what separates a working deployment from an expensive one.
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Technical deep dives, reproducible tests, and tool evaluations.
Performance does not scale linearly with hardware spend. Understanding the bandwidth ceiling is what separates a working deployment from an expensive one.
The open-weight MoE model targets teams squeezed between frontier API costs, inference latency and data-residency rules that rule out hosted inference.
Gemini 3.6 Flash review: a real but incremental upgrade. Cheaper, faster, 1M context—but not a coding leader, and Google's 3.5 Pro flagship remains unshipped.
Anthropic made Claude Fable 5 a permanent part of its Max plan on July 20, 2026. See who benefits, who loses access, and whether Max is worth the price now.
Leaks claim Anthropic's rumored "Opus 5" will match but not beat its flagship Fable 5. We scrutinize the unconfirmed benchmarks and what it means for buyers.
Moonshot AI's Kimi K3, the world's largest open-weight model at 2.8T parameters, tops WebDev benchmarks but can it really replace Claude and Codex? A team-by-team verdict.
xAI disabled the behaviour and open-sourced the tool days later. For CISOs, the work is separating what is confirmed from what remains a vendor promise.
If the productivity story held at face value we would see a flood of new products, not the same backlog moving at the same pace with better autocomplete.