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Instant Consumer Technology Team
Instant Consumer Technology Team
Jun 30, 2025 · Operations

How 3FS Revolutionizes AI Storage with High‑Throughput Distributed Filesystem

3FS, DeepSeek’s high‑performance parallel file system, is engineered for AI workloads, offering ultra‑low latency, high‑throughput storage via RDMA, CRAQ consistency, and seamless cloud‑native integration, with detailed architecture, deployment steps, performance benchmarks, and cost‑saving strategies for large‑scale model training and inference.

AI storageDistributed File SystemHigh Throughput
0 likes · 28 min read
How 3FS Revolutionizes AI Storage with High‑Throughput Distributed Filesystem
Architects' Tech Alliance
Architects' Tech Alliance
May 8, 2025 · Industry Insights

How AI Storage Is Redefining Data‑Compute Synergy: Trends, Tech, and Roadmap

This article analyses the emergence of AI‑focused storage, detailing its ultra‑high bandwidth, concurrency, scale and low‑latency characteristics, the architectural shift from layered to fused designs, the specific performance and data‑management demands of training and inference, and a three‑phase roadmap for future storage innovations.

AI storageGPU AccelerationHigh‑performance computing
0 likes · 12 min read
How AI Storage Is Redefining Data‑Compute Synergy: Trends, Tech, and Roadmap
Architects' Tech Alliance
Architects' Tech Alliance
Apr 26, 2025 · Industry Insights

Why Distributed Storage Is the Next Backbone of the Digital Economy

This article analyzes the evolution of distributed storage—from traditional compute‑storage separation to edge‑centric, AI‑enabled architectures—covering service models, key technologies such as CXL and erasure coding, reliability strategies, performance optimizations, vendor landscapes, and emerging green and intelligent trends.

AI storageCXLNVMe-oF
0 likes · 13 min read
Why Distributed Storage Is the Next Backbone of the Digital Economy
AntData
AntData
Mar 7, 2025 · Artificial Intelligence

Design and Implementation of a Cloud‑Native AI Storage Acceleration System (PCache) for Large‑Scale Model Training

This article examines the challenges of AI storage for massive models, describes Ant Group's multi‑cloud, high‑availability PCache architecture, and details its GPU‑mixed deployment, metadata services, data‑link optimizations, and performance results that enable petabyte‑scale training with low cost and high stability.

AI storagePCachePerformance Optimization
0 likes · 19 min read
Design and Implementation of a Cloud‑Native AI Storage Acceleration System (PCache) for Large‑Scale Model Training
AntData
AntData
Mar 4, 2025 · Big Data

Design and Analysis of 3FS: An AI‑Optimized Distributed File System

The article provides a comprehensive English overview of 3FS, an AI‑focused distributed file system that leverages FoundationDB for metadata, CRAQ for chunk replication, and a hybrid Fuse/native client architecture, detailing its design, components, fault handling, and performance considerations for large‑scale training workloads.

AI storageCRAQ replicationDistributed File System
0 likes · 25 min read
Design and Analysis of 3FS: An AI‑Optimized Distributed File System
Alibaba Cloud Infrastructure
Alibaba Cloud Infrastructure
Dec 2, 2024 · Cloud Computing

Alibaba Cloud Showcases ALS System and AI‑Driven Storage Innovations at CCF China Storage Conference 2024

At the CCF China Storage Conference 2024 in Guangzhou, Alibaba Cloud’s research team presented the ALS (ALink System) ecosystem, discussed Scale‑Up interconnect protocols, and demonstrated multi‑layer storage innovations for AI workloads, highlighting hardware‑software integration, high‑bandwidth networking, and future CXL/PIM research.

AI storageALSScale‑Up
0 likes · 7 min read
Alibaba Cloud Showcases ALS System and AI‑Driven Storage Innovations at CCF China Storage Conference 2024
Didi Tech
Didi Tech
Sep 5, 2024 · Industry Insights

How Didi Built a Multi‑Protocol, Petabyte‑Scale Storage System for AI Training

Facing petabyte‑level data, billions of small files, and the need for POSIX, S3, and HDFS compatibility, Didi designed a new generation of non‑structured storage—OrangeFS—by analyzing internal systems, combining multiple storage solutions, reusing GIFT technology, and implementing a high‑performance metadata service, multi‑protocol fusion, and robust scalability features.

AI storageBig DataCloud Native
0 likes · 27 min read
How Didi Built a Multi‑Protocol, Petabyte‑Scale Storage System for AI Training
DataFunTalk
DataFunTalk
May 14, 2024 · Cloud Computing

Hybrid Cloud Architecture and AI Storage Evolution at Zhihu: From UnionStore to Alluxio

This article describes Zhihu's hybrid cloud architecture—including offline, online, and GPU data centers—its self‑built UnionStore cache, the performance and latency challenges faced during large‑scale AI model training, and the subsequent evaluation and migration to Alluxio community and enterprise editions to achieve higher throughput, stability, and lower operational overhead.

AI storageAlluxioBig Data
0 likes · 14 min read
Hybrid Cloud Architecture and AI Storage Evolution at Zhihu: From UnionStore to Alluxio