theAIcatchup

Graph of LLM inference latency surging with sequence length from compute to memory bound

Long Contexts Flip LLMs from Compute Champs to Memory Bottlenecks

Everyone chased million-token dreams. Reality? Inference latency explodes, turning hype into hardware headaches. This shift rewrites LLM economics.

4 min read 4 hours ago

Illustration of LLM prefill parallel pass flowing into decode with KV cache appends

AI Hardware

LLM Inference Unmasked: Prefill's Parallel Power and KV Cache's Clever Hack

Everyone figured LLMs recompute your whole prompt for every word. Wrong. Prefill and KV cache flip that script, slashing compute while scaling to novels.

3 min read 1 day, 18 hours ago

Chart comparing naive KV cache waste vs paged attention utilization in LLMs

AI Hardware

75GB Wasted on 100 Users: Paged Attention's Brutal Fix for LLM Memory Hogging

100 concurrent chatbot requests. 75 gigabytes of GPU memory—gone, wasted. Paged Attention torches that nonsense.

3 min read 1 week, 2 days ago

Illustration of KV cache reusing key-value vectors during LLM token generation

AI Hardware

KV Caches: The Secret Sauce Making AI Chat Snappier Without Breaking the Bank

Next time your AI assistant spits out a reply in seconds, thank the KV cache—it's quietly revolutionizing how we run massive language models without melting servers. But at what memory cost?

3 min read 2 weeks ago

Diagram showing LLM prompt caching with cache hit reducing computation

AI Hardware

Prompt Caching: The Boring Fix That Slays LLM Bills

We all braced for AI's trillion-dollar tab. Prompt caching? It just made the math work—finally.

3 min read 2 weeks ago

Architecture diagram of P-EAGLE parallel drafting in vLLM, showing hidden states and mask tokens

AI Hardware

P-EAGLE Fixes LLM Speedups' Hidden Bottleneck – But Only on Fat GPUs

What if the hottest LLM speedup trick was secretly slowing itself down? P-EAGLE parallelizes drafting to smash that ceiling – if you've got the GPU muscle.

3 min read 2 weeks ago

#LLM inference

Long Contexts Flip LLMs from Compute Champs to Memory Bottlenecks

LLM Inference Unmasked: Prefill's Parallel Power and KV Cache's Clever Hack

75GB Wasted on 100 Users: Paged Attention's Brutal Fix for LLM Memory Hogging

KV Caches: The Secret Sauce Making AI Chat Snappier Without Breaking the Bank

Prompt Caching: The Boring Fix That Slays LLM Bills

P-EAGLE Fixes LLM Speedups' Hidden Bottleneck – But Only on Fat GPUs

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