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Architects' Tech Alliance
Architects' Tech Alliance
Apr 1, 2023 · Industry Insights

Why GPUs Lag Behind Big AI Models and How In‑Memory Computing Helps

The article examines the growing bottlenecks of large‑scale AI model training caused by the separation of storage and compute, analyzes why conventional GPU architectures cannot keep pace with exponential model growth, and presents in‑memory and near‑memory computing, as well as storage‑compute integration, as promising solutions to boost performance, energy efficiency, and scalability for cloud and edge deployments.

AI computeGPU bottleneckcloud computing
0 likes · 10 min read
Why GPUs Lag Behind Big AI Models and How In‑Memory Computing Helps
Laravel Tech Community
Laravel Tech Community
Dec 29, 2020 · Fundamentals

Apache Ignite 2.9.1 Release Notes

The Apache Ignite 2.9.1 release introduces new features such as graceful shutdown for ZookeeperDiscoverySpi, system views for binary metadata and metadata storage, and numerous bug fixes across core, Java thin client, JDBC, .NET, and C++ components, improving stability, performance, and compatibility.

Apache IgniteBug FixesC++
0 likes · 5 min read
Apache Ignite 2.9.1 Release Notes
Architects' Tech Alliance
Architects' Tech Alliance
Jan 4, 2020 · Artificial Intelligence

In‑Memory Computing: Overcoming the Memory Wall for AI Chips

The article explains how the memory‑wall limitation of traditional von Neumann architectures hampers AI chip performance, describes two in‑memory computing approaches—circuit‑level modifications and new memory devices—highlights recent conference trends, and showcases a Chinese startup’s 8‑bit low‑power in‑memory AI chip that could enable ubiquitous AI on edge devices.

AI chipsMemory Wallin-memory computing
0 likes · 12 min read
In‑Memory Computing: Overcoming the Memory Wall for AI Chips
Architects' Tech Alliance
Architects' Tech Alliance
Apr 2, 2019 · Artificial Intelligence

Breaking the Storage Wall: In‑Memory Computing and Integrated Compute‑Storage Architectures for AI

The article examines the growing bottlenecks of traditional compute architectures, explains why breaking the storage wall through high‑bandwidth communication, near‑data processing, and in‑memory compute is essential for AI workloads, and surveys the principles, advantages, challenges, future directions, and key industry players of integrated compute‑storage chips.

AI chipsAI hardwareCompute Architecture
0 likes · 13 min read
Breaking the Storage Wall: In‑Memory Computing and Integrated Compute‑Storage Architectures for AI
Architects' Tech Alliance
Architects' Tech Alliance
Jan 30, 2019 · Industry Insights

Breaking the Storage Wall: How In‑Memory Computing Is Shaping AI Chip Design

The article analyzes the growing bottlenecks in compute architecture and memory, explores high‑bandwidth communication, near‑data processing, and in‑memory computing techniques, evaluates their advantages, challenges, and future prospects, and highlights key industry players driving the shift toward integrated compute‑storage chips.

AI chipsCompute Architectureedge AI
0 likes · 14 min read
Breaking the Storage Wall: How In‑Memory Computing Is Shaping AI Chip Design