Hardware
The machines, wiring, and other physical components of a computer or other electronic system.
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Consumer vs Server-Grade Hardware and why you can't do Business-Grade work with the formerIn any market or industry, quality work at scale requires purpose-built
high-performance tools.
In a previous article (The Eight Challenges You'll Face With On-Premise
Artificial Intelligence
[https://amalgam.ai/posts/the-eight-challenges-youll-face-with-on-premise-artificial-intelligence/]
), we promised to cover this topic more in-depth in a separate post. Well, we
like to keep our promises, so here we are.
It turns out that 3 of the Challenges we listed (Servers, Networking, and
Storage) ar
Adriano MarquesJune 02, 2021
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