#SGLang deployment

45 related articles

May 20, 2026·2 min

vLLM and SGLang Local Deployment Tutorial: A Practical Guide to 3-8x Performance Gains

Complete guide to deploying vLLM and SGLang locally. Compare performance vs LM Studio, deploy in 3 steps with Docker + AI assistant. Covers SGLang vs vLLM selection, 5090 VRAM optimization, and Cherry Studio integration.

Aug 7, 2026·3 min

Feasibility Analysis: Deploying DeepSeek V4 Flash on Dual DGX Spark Systems

In-depth feasibility analysis of deploying DeepSeek V4 Flash on two NVIDIA DGX Spark units offline, examining memory bandwidth, MoE communication overhead, and quantization strategies.

Aug 6, 2026·2 min

DeepSeek V4 Pro: Why the Open-Source LLM Community Is Eagerly Waiting

DeepSeek V4 Pro sparks open-source community buzz. Analysis of DeepSeek's V2-to-V3 evolution, MoE architecture cost advantages, and what developers should expect from the next-gen open-source LLM.

Aug 5, 2026·3 min

Comparing China's Four Major AI Labs: Strategic Analysis of Qwen, DeepSeek, Moonshot, and Ling

An insider's analysis of China's four AI labs — Qwen, DeepSeek, Moonshot, and Ling — revealing their distinct strategic bets on distribution, architecture, long-termism, and serving cost.

Aug 3, 2026·3 min

MI355X Running Kimi K3 Benchmark: The Logic Behind Outperforming B300 in Performance per Dollar

Deep analysis of AMD MI355X running Kimi K3 with superior cost-efficiency vs NVIDIA B300, and its implications for the AI inference hardware market.

Jul 30, 2026·3 min

Is LLM Inference Really That Expensive? Breaking Down the Cost Reduction Logic of GPU Compute and Inference Frameworks

Analyzing real LLM inference costs: from B200 GPU compute gains, vLLM framework optimization to MTP multi-token prediction, explaining why serving costs are widely overestimated.

Jul 29, 2026·3 min

Self-Hosting Kimi K3: Is Spending 20% More on Hardware Worth a 20% Improvement in Task Performance?

Analysis of whether spending 20% more on hardware for self-hosting Kimi K3 to gain 20% task performance improvement is worthwhile, covering inference precision, VRAM optimization, and tiered deployment.

Jul 29, 2026·3 min

Is LLM Inference Actually Profitable? Breaking Down the Cost Structure and Business Logic of Large Model Inference

A deep dive into LLM inference cost structure and profitability models—from GPU throughput, MoE architecture, and KV Cache to scale effects—revealing the business logic behind API price wars.

Jul 28, 2026·3 min

A 9B Model Beats Frontier LLMs After Just $500 in RL Fine-Tuning

Just $500 in RL fine-tuning enables a 9B open-source model to outperform frontier LLMs on catalog review tasks. Analysis of when small-model RL works and its enterprise implications.

Jul 25, 2026·3 min

Laguna S 2.1: The Open-Source Coding Model That's 14x Smaller Yet Stronger

Poolside releases Laguna S 2.1, an open-source agentic coding model: 118B total params with only 8B active, scoring 40.4% on DeepSWE — ~4.5x DeepSeek V4 Pro Max. Supports 1M-token context, deployable on a single workstation.

Jul 25, 2026·3 min

DeepSeek Open-Sources DeepSpec: A Full-Stack Speculative Decoding Library with 60–85% Inference Speedup

DeepSeek open-sources DeepSpec, a full-stack speculative decoding library delivering 60–85% inference speedup and up to 661% throughput gains in production. MIT license, 9 checkpoints, 9 benchmarks.

Jul 24, 2026·6 min

Hands-On with Panel AI On-Premises Deployment: One-Click Enterprise Adoption and Unified Compute Cluster Scheduling

In-depth review of Panel AI v1.1.1: second-level installation, no-public-IP networking, batch compute cluster management. Learn how enterprise AI on-premises deployment barriers are dramatically lowered.

Jul 16, 2026·3 min

GPUStack in Action: Complete Guide to Day 0 Deployment of DeepSeek-V4-Flash

Deploy DeepSeek-V4-Flash DSpark on 8× H20-141G using GPUStack's SGLang backend on Day 0. Full walkthrough of Web UI config, parameter tuning, and 200 tokens/sec benchmark results.

Jul 14, 2026·2 min

QuantaMind: An Open-Source Tool for Testing AI Agent Reliability Locally

QuantaMind is a free, open-source local AI Agent reliability testing tool using pass^k scoring and deterministic evaluation, supporting Ollama, llama.cpp, vLLM, and more.

Jul 13, 2026·4 min

From Enter to First Token: Decrypting the Full LLM Inference Pipeline (Autoregression, KV Cache & Decoding Strategies)

From pressing Enter to the first character appearing, what happens inside an LLM? This article breaks down autoregressive generation, KV cache acceleration, and decoding strategies like temperature, Top-k, and Top-p.

Jul 12, 2026·2 min

SGLang Integrates DSpark: How Confidence-Driven Speculative Decoding Cracks the High-Concurrency Failure Problem

SGLang officially integrates DSpark, solving the core pain point of speculative decoding failure under high-concurrency batches via confidence-driven variable-length verification. Supports Qwen3 and DeepSeek-V4, hitting 383.7 tok/s on B300.

Jul 12, 2026·3 min

DeepSeek-V4 Flash RL Training Successfully Ported to AMD MI355X GPU: A Complete Breakdown

The Miles team and AMD announce the full port of DeepSeek-V4 Flash RL training to AMD Instinct MI355X GPUs on ROCm, boosting AIME pass@1 from 0.39 to 0.49—a milestone for compute ecosystem diversity.

Jul 12, 2026·4 min

LingBot-World 2.0 Meets SGLang: A Deep Dive into the Evolution of Real-Time Interactive World Models

SGLang-Diffusion now officially supports LingBot-World 2.0, delivering leaps in resolution and temporal consistency. With live sessions, chunked streaming, and camera control, world models achieve low-latency controllable interaction.

Jul 11, 2026·6 min

A Deep Dive into the vLLM Inference Framework: Core Principles of Throughput Optimization and Interview Guide

An in-depth analysis of the vLLM inference framework's core principles: from the meaning of throughput (tokens/s), to the bottlenecks of autoregressive generation, to KV Cache, PagedAttention, and continuous batching.

Jul 11, 2026·2 min

MOSS-Transcribe-Diarize: A 0.9B End-to-End Multi-Speaker Speech Transcription Model

MosiAI open-sources MOSS-Transcribe-Diarize-0.9B: unified speech transcription and speaker diarization, 128K context for 90-min audio, hotword boosting, SGLang Day-0 support, edge-deployable.