Sync Partners with Apex Systems
Powering the future of tech solutions
We’re thrilled to announce that Sync has partnered with Apex Systems, a leading global technology services provider with a presence in more than 70 markets across North America, Europe, and India. Apex is the go-to service provider for many modern enterprise solutions.
This collaboration is poised to boost our ability to develop our advanced AI-backed Databricks compute optimization solution, Gradient. Combining Apex System’s industry experience with our cutting-edge tech will drive innovation that will propel the industry forward. Read on for all the details.
Why Apex Systems?
Apex Systems is a powerhouse in the world of IT services and consulting. They bring to the table a wealth of industry expertise and a proven track record of delivering innovative solutions. Their deep understanding of market trends and vast top-tier technical talent pool perfectly complement Sync’s advanced technology.
In addition, as a Databricks partner, Apex Systems provides organizations with the guidance required to implement and extract insight from their data. They focus on providing cost-effective cluster design, modular development for reusability, and massively parallel processing to enhance performance for Databricks workloads. And they help customers with everything from migration to optimization to insights.
Synergy between Apex Systems and Gradient
Apex’s global pool of technical experts makes it easy to build bespoke data solutions to match your initial needs. Once you scale your data operations to hundreds of data pipelines or more, Gradient comes into play. It lets you optimize your workloads at scale, beyond the capabilities of any team of people. With Gradient, a single engineer can optimize thousands of workloads.
By partnering with Apex Systems, we are supporting high-touch bespoke projects with large scale optimization and management. Both of which are essential to handling the unique needs of today’s enterprise.
Innovation that gets us excited
Through our partnership, we are set to boost the capabilities of Gradient, in several key areas. These include:
– Optimization of ETL pipelines: Cut compute costs on your batch Databricks jobs with Gradient’s machine-learning powered compute optimization engine.
– Optimization of production ML pipelines: Gradient can help you reduce the cost per inference and boost inference speeds.
– Meeting runtime SLAs: If you are struggling to meet strict runtime SLAs Gradient can help ensure you meet your SLAs consistently, and at the lowest possible price.
Looking ahead
We, at Sync, remain committed to pushing the boundaries of what’s possible in the world of high velocity computing and data processing. This partnership with Apex Systems is a testament to that commitment.
In the world of tech, it’s not just about having the best tools; it’s about having the right minds to wield them. With Sync and Apex Systems joining forces, we’re assembling the dream team. We can’t wait to show you what we can build together!
Conclusion
This partnership isn’t just about combining resources—it’s about merging visions to create a powerhouse of innovation in the tech world. From compute optimization to cutting-edge AI solutions, we’re now better equipped than ever to tackle the complex challenges organizations face today.
With Sync’s advanced computing solutions and Apex’s industry expertise, we’re ready to push the boundaries of what’s possible in technology. The future of computing is here, and together, we’re poised to shape it.
If you’re interested in learning more about how we are revolutionizing the world of cloud optimization, book a time to connect with the team here.
More from Sync:
Choosing the right Databricks cluster: Spot instances vs. on-demand clusters, All-Purpose Compute vs. Jobs Compute
Choosing the right Databricks cluster: Spot instances vs. on-demand clusters, All-Purpose Compute vs. Jobs Compute
Databricks Compute Comparison: Classic Jobs vs Serverless Jobs vs SQL Warehouses
Databricks Compute Comparison: Classic Jobs vs Serverless Jobs vs SQL Warehouses