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🔥 Benchmarking a new optimization integrated by the Model Garden team for serving LLMs on Vertex AI.

Can't wait to share!

#VertexAI #LLMs #Benchmarking #Optimization #ModelGarden #LLMServing

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Predictive Cross‑Layer Scheduling Boosts LLM Serving Performance

Predictive Cross‑Layer Scheduling Boosts LLM Serving Performance

NexusSched boosts SLO attainment by 43% and can deliver up to three‑fold higher throughput for long‑context LLM queries, according to the new preprint. Read more: getnews.me/predictive-cross-layer-s... #nexussched #llmserving #aiinfrastructure

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SparseServe Boosts Parallelism for Dynamic Sparse Attention in LLM Serving

SparseServe Boosts Parallelism for Dynamic Sparse Attention in LLM Serving

SparseServe cuts mean time-to-first-token latency by up to 9.26× and raises token-generation throughput by up to 3.14× using hierarchical HBM-DRAM caching. Read more: getnews.me/sparseserve-boosts-paral... #sparseserve #llmserving

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Insights into LLM Serving Systems: KV-Cache Memory Allocation Patterns

Explore key observations on KV-cache memory requirements and allocation bandwidth during LLM inference's decode phase #llmserving

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