The researchers’ findings point to significant opportunities for GSI Technology as customers increasingly require performance-per-watt gains across various industries, including Edge AI for ...
"Firstly, traditional sorting hardware involves extensive comparison and select logic, conditional branching, or swap operations, featuring irregular control flow that fundamentally differs from the ...
A novel stacked memristor architecture performs Euclidean distance calculations directly within memory, enabling ...
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AI efficiency advances with spintronic memory chip that combines storage and processing
To make accurate predictions and reliably complete desired tasks, most artificial intelligence (AI) systems need to rapidly analyze large amounts of data. This currently entails the transfer of data ...
The partnership underscores intensifying global efforts to address some of AI’s biggest bottlenecks: memory performance and ...
Another day, and another artificial intelligence chipmaker is raking in millions of dollars in funding. Today it’s a startup ...
AWS and AMD announced the availability of new memory-optimized, high-frequency Amazon Elastic Compute Cloud (Amazon EC2) X8aedz instances powered by a 5th Gen AMD EPYC processor. These instances offer ...
CEO Jensen Huang said during a visit to Taiwan that surging AI demand is rapidly increasing the need for advanced memory. AI's Next Bottleneck Is Memory, Not Just Compute Huang said the future of ...
Google added virtual machine (VM) types on Google Compute Engine including second-generation Intel Xeon scalable processor machines and new VMs for compute- and memory-heavy applications. The former, ...
A Nature paper describes an innovative analog in-memory computing (IMC) architecture tailored for the attention mechanism in large language models (LLMs). They want to drastically reduce latency and ...
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