Advertisement
Verified Partner
Enterprise Cloud Infrastructure, GPU Clusters & AI APIs
Deploy high-throughput inference and quant trading pipelines with ultra-low latency.
Explore Platform →

DeepSeek Open-Sources deepseek-harness & DeepSelect: DSA Sparse Attention and DeepGEMM for High-Throughput Inference

By Dr. Erik Vandeberg • Published on 2026-09-08 • 5 min read •Source: DeepSeek GitHub
DeepSeek open-sources its core production runtime 'deepseek-harness', combining Dynamic Sparse Attention (DSA) Top-K selection with custom FP8 DeepGEMM matrix kernels.

DeepSeek has published deepseek-harness, the inference and plugin orchestration harness powering its web and API infrastructure.

DeepSelect & DeepGEMM

deepseek-harness open-sources DeepSelect—a GPU-accelerated routing kernel that evaluates attention sparsity in real-time, executing Dynamic Sparse Attention (DSA) with near-zero latency overhead. Paired with DeepGEMM FP8 matrix operations, self-hosted clusters achieve up to a 3.4× boost in tokens-per-second-per-GPU.

Advertisement
Verified Partner
Quantitative Trading Systems & 30 AI Business Blueprints
Build predictable monthly recurring revenue with retainers & automated bots.
View Blueprints →

Source & Fact Check

This technical dispatch was verified against primary documentation released by DeepSeek GitHub.

Read Original Announcement on DeepSeek GitHub →

Go deeper: related guide

This story makes more sense when you build it. Here is the practical step-by-step guide:

Claude Code Complete Guide: build your first autonomous coding agent →

Get 1 AI agent blueprint every week

Free newsletter: one practical AI agent or automation you can build and sell, every week. No spam.