Microsoft launches 'Project Brainwave' for real-time
AI
Software giant Microsoft has announced Project
Brainwave deep learning acceleration platform for real-time
artificial intelligence (AI).
With the help of ultra-low latency, the system processes
requests as fast as it receives them.
Real-time AI is becoming increasingly important as cloud infrastructures process live data streams, whether they be search queries, videos, sensor streams, or interactions with users.
Real-time AI is becoming increasingly important as cloud infrastructures process live data streams, whether they be search queries, videos, sensor streams, or interactions with users.
The 'Project Brainwave' uses the massive field-programmable
gate array (FPGA) infrastructure that Microsoft has been deploying over the
past few years.
By attaching high-performance FPGAs directly to data centre network, it can serve DNNs as hardware microservices, where a DNN can be mapped to a pool of remote FPGAs and called by a server with no software in the loop .
By attaching high-performance FPGAs directly to data centre network, it can serve DNNs as hardware microservices, where a DNN can be mapped to a pool of remote FPGAs and called by a server with no software in the loop .
Microsoft claimed that the
system, designed for real-time AI, can handle complex, memory-intensive models
such as Long Short Term Memories (LSTM), without using batching to juice
throughput.
Project Brainwave achieves unprecedented levels of demonstrated real-time AI performance on extremely challenging models.
Microsoft
is also planning to bring the real-time AI system to users in Azure Project Brainwave achieves unprecedented levels of demonstrated real-time AI performance on extremely challenging models.
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