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SGLang New Release with DCP and Prefix Caching: How to Plan GPU Clusters—Node Count, Topology, and VRAM Accounting
Translating SGLang's latest release into actionable GPU cluster planning decisions, covering node count, topology, and VRAM budget across single-node and cross-node scenarios.
Has B300 288GB Rewritten the Cost-Performance Analysis of B200 and H100? A Guide to Recalculating Cost per Token
Analyzes whether NVIDIA's B300 288GB changes the cost-performance landscape for B200 and H100, providing a framework to recalculate cost per token.
After vLLM v0.26.0, Is SGLang Deployment Still Worth It? A Selection and Implementation Guide with 29% Shared Prefix Throughput Advantage
Compare the cost-relevant optimizations of vLLM v0.26.0 and SGLang's RadixAttention, and provide a load-based decision table and implementation steps for SGLang deployment.
Ollama v0.32.6 Adds MTP Automatic Speculative Decoding: How to Choose an Ollama GPU Server, from Single-Card VRAM to On-Demand Deployment
Explore what's new in Ollama v0.32.6, including MTP-based automatic speculative decoding, and learn how to select the right GPU server by VRAM tier and deployment strategy.
RTX 4090 Cloud Servers Still Worth It After RTX 5090 Stabilizes at $0.49-$0.99? How to Calculate the 24GB to 32GB VRAM Step
Evaluate whether renting an RTX 4090 cloud server is still cost-effective compared to the RTX 5090 by calculating VRAM needs for model weights, KV cache, and concurrency.
