Training, inference, and storage capacity look identical on a budget slide but break in completely different ways. Here's why each needs its own management https://hackernoon.com/not-all-capacity-is-created-equal-heres-why #aiinference
Not All Capacity Is Created Equal: Here's Why | HackerNoon

Training, inference, and storage capacity look identical on a budget slide but break in completely different ways. Here's why each needs its own management

πŸ”₯ Gemma 4 riduce la latenza fino a 3x con i drafter Multi-Token: decodifica speculativa senza perdita di qualitΓ 
https://gomoot.com/gemma-4-accelera-linferenza-grazie-ai-drafter-multi-token/

#AIInference #gemma4 #GoogleAI #LLM #MultiTokenPrediction

Omar Sanseviero (@osanseviero)

Gemma 4 Draftersκ°€ Transformer, vLLM, MLX, SGLang, Ollama, AI Edge Gallery λ“± OS μƒνƒœκ³„ μ „λ°˜μ— 배포되기 μ‹œμž‘ν–ˆλ‹€λŠ” μ†Œμ‹μž…λ‹ˆλ‹€. μ˜€ν”ˆμ†ŒμŠ€ μΆ”λ‘  λ„κ΅¬λ“€κ³Όμ˜ 톡합 확산이 κ°•μ‘°λ˜μ–΄, κ°œλ°œμžλ“€μ—κ²ŒλŠ” λͺ¨λΈ ν™œμš©μ„±κ³Ό 배포 μ˜΅μ…˜μ΄ 크게 λ„“μ–΄μ§ˆ 수 μžˆλŠ” μ€‘μš”ν•œ μ—…λ°μ΄νŠΈμž…λ‹ˆλ‹€.

https://x.com/osanseviero/status/2051746845982912514

#gemma #opensource #vllm #ollama #aiinference

Omar Sanseviero (@osanseviero) on X

Gemma 4 Drafters landing across the OS ecosystem βœ…transformers βœ…VLLM βœ…MLX βœ…SGLang βœ…Ollama βœ…AI Edge Gallery And more coming!

X (formerly Twitter)
One POST per LLM token kills multi-user throughput. Here's the 258-line adaptive batcher that fixed it β€” and the control-theory bug that almost shipped instead. https://hackernoon.com/streaming-faster-made-our-llm-hub-slower #aiinference
Streaming Faster Made Our LLM Hub Slower | HackerNoon

One POST per LLM token kills multi-user throughput. Here's the 258-line adaptive batcher that fixed it β€” and the control-theory bug that almost shipped instead.

via #Microsoft : Microsoft Sovereign Private Cloud scales to thousands of nodes with Azure Local

https://ift.tt/4jIwXns
#AzureLocal #SovereignPrivateCloud #CloudSecurity #DataResidency #DataGovernance #EdgeComputing #AIinference #InfrastructureScaling #Dis(transaction)edOpera…