Cloud Computing
Stay up-to-date on the latest trends and solutions in Cloud Computing that will make your business run faster, safer, and maybe cheaper.
Others
All Themes
Articles
The path to putting your ML model in productionSuppose you are a Data Scientist or Machine Learning Engineer (or another role
name of this kind). You took your time to analyze your dataset, clean it, and
prepare it to train your model. You then prepared many model candidates using
the most recent techniques and took your time to fine-tune them. After all this
extensive work, you finally created a model to be proud of. You finally finished
your job. Well, unfortunately, not. If your model never goes live and is
actively used, delivering value
Fernando CamargoNovember 24, 2020
Is it a good idea to run data centers underwater?There are major infrastructural challenges in running large scale data centers.
One is providing sufficient electric power to keep the facility running. A
datacenter running tens of thousands of servers consumes roughly 10 Megawatts of
power.
Servers not only consume vast amounts of energy, they also generate a lot of
heat.
The air inside a data center will become sweltering unless you cool it down.
Servers cannot function reliably in high temperatures. The cooling solution
needs to be both hi
Adriano MarquesNovember 24, 2020
AI Infrastructure Alternatives for your BusinessWith cloud offerings becoming more abundant and diverse, cloud infrastructure
seems to offer a much cheaper and simpler alternative to an on-premises data
center. Many organizations, that need Artificial Intelligence to help with
decision-making, problem-solving, etc. face a complicated decision: what is the
best infrastructure deployment for AI workloads?
Generally speaking, there are three possible deployment options. You can run
your AI on-premises in your own datacenter, rent some space at
Adriano MarquesOctober 13, 2020
What Kind of AI Infrastructure is Best for my Business?In this week's Exponential Chats, some of the team members responsible for
Amalgam's development will have a chat about the various infrastructure
alternatives available when it comes to training and deployment of Artificial
Intelligence models. Between Cloud, Colocation, and On-Premise which one would
you say is the best infrastructure for your AI needs? Come join us and
participate by asking questions or giving your opinion in the live chat.
- Adriano Marques is the founder and CEO of Exponen
Adriano MarquesSeptember 30, 2020
The Eight Challenges You'll Face With On-Premise Artificial Intelligence
As glamorous as it is to have your own Artificial Intelligence Optimized
On-Premise Data Center, it doesn't come easy. It is absolutelly true that if
done right it boasts much better performance and much lower costs than resorting
to the cloud or even using co-location to perform your processing workload when
creating AI driven solutions. However, most people are not aware of what really
makes an AI Optimized Data Center and end up building an expensive half-baked
solution that can't perform o
Adriano MarquesSeptember 18, 2020
Is the cloud moving to the sea?In this week's Exponential Chats, some of the team members responsible for
Amalgam's development will have a chat about Microsoft's Project codenamed
Natick which was an attempt of sustainably running a Data Center underwater.
After 2 years of deployment, Microsoft is claiming that their servers were up to
8 times more reliable than their counterparts on land. Is that an indication
that the cloud is actually moving to the sea? Come join us and participate by
asking questions or giving your opini
Adriano MarquesSeptember 16, 2020