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Why your LLM bill is exploding — and how semantic caching can cut it by 73%
Our LLM API bill was growing 30% month-over-month. Traffic was increasing, but not that fast. When I analyzed our query logs, I found the real problem: Users ask the same questions in different ways.& [...]
AMD Ryzen 9 9950X3D review: A no-compromise CPU for demanding gamers
How can we push CPUs forward? That's the question the computing industry has been asking since the Intel 4004 processor launched in 1971. Chipmakers have tried cranking up clock speeds, adding mu [...]
Nvidia says it can shrink LLM memory 20x without changing model weights
Nvidia researchers have introduced a new technique that dramatically reduces how much memory large language models need to track conversation history — by as much as 20x — without modifying the mo [...]
New KV cache compaction technique cuts LLM memory 50x without accuracy loss
Enterprise AI applications that handle large documents or long-horizon tasks face a severe memory bottleneck. As the context grows longer, so does the KV cache, the area where the model’s working me [...]
The AMD Ryzen 9 9950X3D is another 16-core beast with 144MB of 3D V-cache
After pioneering the use of 3D V-cache in CPUs — specifically, by stacking L3 cache modules on top of each other — AMD is adding another super-powered desktop CPU to the mix at CES 2025: the Ryzen [...]
Is Anthropic 'nerfing' Claude? Users increasingly report performance degradation as leaders push back
A growing number of developers and AI power users are taking to social media to accuse Anthropic of degrading the performance of Claude Opus 4.6 and Claude Code — intentionally or as an outcome of c [...]
Nvidia’s new technique cuts LLM reasoning costs by 8x without losing accuracy
Researchers at Nvidia have developed a technique that can reduce the memory costs of large language model reasoning by up to eight times. Their technique, called dynamic memory sparsification (DMS), c [...]