High Performance Computing
Whether you have a massive online community website being taxed by concurrent users, digging for evidence through terabytes of electronically stored information (ESI), simulating impact of earthquakes on civil infrastructure, consult with UVision's experienced grid and distributed computing experts to help you develop a HPC implementation strategy that addresses your challenges and still fits your budget.
Scalability for the enterprise is a priority and important in the face of competition. Increased traffic and thus increased computing demands are all factors to impact your venture that come with growth. From engineering simulations to financial market projections to genome research cost-effective high performance computing (HPC) solutions are at the fore-front of the computing world. Small businesses are also able to adopt high performance technology into their business to help them compete and scale. Using existing IT assets is also crucial to saving time and money when implementing a high performance computing solution.
Business Challenges
- Processing computing tasks or data sequentially instead of using distributed or parallel implementations
- Expensive dedicated hardware for high performance computing
- Expensive load distribution technology such as network load balancers
- Complex heterogeneous IT data & assets difficult to integrate seamlessly
- Difficult to transform sequential computing to distributed, parallel or grid computing
UVision Delivers
- Experience applying distributed and grid computing technologies to solve complex challenges in a wide array of industries
- Cost-effective implementation strategies to help small businesses overcome challenges in building and adopting grid solutions
- Insight into leveraging existing heterogeneous computers, servers and other IT infrastructure to lower costs of implementing HPC solutions
Resulting Value
- Higher ROI, lower TCO on IT infrastructure by reuse of assets
- Faster results to complex problems
- Proven and reliable HPC technology