Accelerated Computing Is Here
Accelerated Computing now means that you can build your own cloud or data center in rack. Operate at a fractions of the cost and power of traditional data centers, and run the latest FinTech machine learning models.
Driven by Generative AI, Accelerated Computing has just eclipsed the HPC/Hyperconverged Computing models. Paired with hybrid cloud integration, these recent game-changers for FinTech firms means twice the computing capabilities and speed at 1/50th of the power, space and cost.
Generative AI now programs and drives processor function per-domain model. The hallmark of these innovations is increased flexibility while reducing speed, space, or power. Our FinTech Solutions aim to modernize, integrate, centralize, and focus your IT infrastructure and applications. The result- meet your market and business goals more fully, more quickly, and more efficiently.
While our FinTech Solutions span from infrastructure to software integration to cloud, recently the crux of our business has been modernizing data center infrastructure to an Accelerated Computing format. With added options for cloud expansion, you can only pay for what you need when you need it, reducing maintenance and IT personnel. All in a one-rack solution!
Our consulting first evaluates your current FinTech resources, usage, and platforms to ensure they most effectively and efficiently empower your team to implement your market goals.
A Hybrid Cloud Network can leverage cloud computing to temporarily add VMs and storage in times of network overload. You pay for only what you use, when you use.
What happens in-house stays in-house...
With processor function driven by Generative AI and Hybrid Cloud Networking, Accelerated Computing Systems can think and chew gum at the same time. Real-time data used for proprietary market execution and analysis is expedited to your traders and analysists. Non-proprietary data like logs, archives, admin, and secondary functions can be tiered to the cloud to reduce resources, maintenance, and cost.
We can expand your network to seamlessly and securely add cloud resources for quantitative analysis, strategy modeling, machine learning, and back-testing. When you're done using it, erase it forever and its gone! Tier archived storage and other non-essential administrative tasks to the cloud on a more permanent basis. Computing power and storage space can be scaled infinity and paid for only when you use it.
Data stored on the cloud can be recalled and booted up for modeling at any time. Or how about creating new virtual workstations for developers? Call us today at 630-486-0466 or email us at Fintech@consultrgs.net to set up a consultation.
Hybrid Cloud Benefits
By separating less-critical data and functions and tiering them to the cloud, your computing power is concentrated on speeding up your business-critical functions and real-time data.
Most cloud-based resources are completely maintenance-free. New equipment, maintenance, and upgrades are handled for you at no extra charge. This allows you to focus more fully on your core business- the financial markets.
Hybrid solutions allow you to choose what stays in-house and what goes to the cloud. You will also be able to control every aspect of your cloud network from your computer screen.
When you use cloud resources, you only pay for what you need and only when you use it. You can also try most new resources for free before committing.
Accelerated Computing Systems
Large FinTech players like Citadel and Jump Trading have systems, developers, and other personnel that have set the world's standards in HPC and Hyperconverged Computing in the Machine Learning AI arena. Now they are building on 15 years of innovation to take the lead in the Accelerated Computing and Generative AI age.
With the latest Accelerated Computing hardware innovations, you can now jump to the front of the line with your data center construction. Build your in-house software-managed, ultra-efficient Accelerated System which can run large machine learning FinTech models in one rack!
Accelerated Computing characteristics include:
- Parallel processing & programmable chip architecture driven by Generative AI.
- Higher compute capabilities at 1/50th the space, cost, and power usage.
- Universally available memory right on the CPU and GPU.
- Adaptive in-data-center routing, superior buffering, and GPU performance isolation.
- Compute, storage, & networking seamlessly work together with the fastest and shortest connections.
- System-wide integrated admin, access, governance, and security.
- Infinitely scalable, software-driven updates and upgrades.
- Moving away from spinning drives.
Over the last 9 months, server power and storage capacity speed and power have nearly doubled. Chips like AMD's MX3100, TSC's Tesla "Dojo" D1 and Nvidia's Grace Hopper "Superchip" will now revolutionize model training and computing efficiency. Nvidia's cuDNN processing library and enterprise software stack, combined with Bluefield NICs ensure ML models are run in the fastest, most efficient manner possible.
If you find yourself behind in the tech area, we can advise you on the newest and most efficient Accelerated Computing Solutions for your on-premise network, which can also serve as a foundation for seamless cloud expansion or migration.
Call us today for a free consultation.