AI
FPGAs To Shake Up Stodgy Relational Databases
So you are a system architect, and you want to make the databases behind your applications run a lot faster. …
AI
AI
Machine Learning Storms Into Climate Research
The fields where machine learning and neural networks can have positive impacts seem almost limitless. …
AI
Does Google’s TPU Investment Make Sense Going Forward?
Google created quite a stir when it released architectural details and performance metrics for its homegrown Tensor Processing Unit (TPU) accelerator for machine learning algorithms last week. …
AI
A Look at Facebook’s Interactive Neural Network Visualization System
There has been much discussion about the “black box” problem of neural networks. …
AI
Risk or Reward: First Nvidia DGX-1 Boxes Hit the Cloud
If you can’t beat the largest cloud players at economies of scale, the only option is to try to outrun them in performance, capabilities, or price. …
AI
From Mainframes to Deep Learning Clusters: IBM’s Speech Journey
Here at The Next Platform, we tend to focus on deep learning as it relates to hardware and systems versus algorithmic innovation, but at times, it is useful to look at the co-evolution of both code and machines over time to see what might be around the next corner. …
AI
Flare Gives Spark SQL a Performance Boost
Spark has grown rapidly over the past several years to become a significant tool in the big data world. …
AI
An Opaque Alternative to Oblivious Cloud Analytics
Data security has always been a key concern as organizations look to leverage the operational and cost efficiencies that come with cloud computing. …
AI
Neuromorphic, Quantum, Supercomputing Mesh for Deep Learning
It is difficult to shed a tear for Moore’s Law when there are so many interesting architectural distractions on the systems horizon. …
AI
Scaling Deep Learning on an 18,000 GPU Supercomputer
It is one thing to scale a neural network on a single GPU or even a single system with four or eight GPUs. …