|
If you conduct compute-intensive operations, you can supplement in-house capability with Deep Computing Capacity on Demand which may help to cut costs, boost productivity, and accelerate development. Applications include:
Uses and workloads
| Industry |
Possible Application |
Possible Benefits |
|
Automotive & Aerospace Computer-Aided Engineering
|
- Crash and stamping simulation
- Computation of complex fluid dynamics
- Advanced structural analysis
- Modeling for noise / vibration / harshness analysis
- Design and development optimization
| May help to:
- Improve time-to-market
- Accelerate the design cycle
- Improve quality by allowing more design iterations
- Lower costs by allowing more digital prototyping
| | Petroleum
|
- Seismic interpretation
- Detailed reservoir modeling
| May help to:
- Analyze more prospects in less time
- Improve accuracy and field success rates
- Reduce finding costs
- Improve time-to-first oil
| | Life Sciences
|
- Drug discovery and development
- Genomics modeling
- Proteomics modeling
- Quantum chemistry
- Structure-based design analysis
- Molecular dynamics modeling
| May help to:
- Solve larger/more complex problems
- Analyze wider, more diverse data sets
- Accelerate drug research and design
- Accelerate clinical trials analysis
| | Electronics
|
- Design verification and simulation
- Test pattern generation
- Design rule checking
- Mask generation
- Optical proximity correction
| May help to:
- Solve larger and more complex design problems
- Analyze more design iterations
- Reduce design cycle time
- Improve time-to-market
| | Financial Services
|
- Monte Carlo simulations
- Portfolio and wealth management
- Risk management
- Compliance
| May help to:
- Improve business decisions by providing more accurate and timely information
- Improve IT infrastructure flexibility
- Reduce business risk
| | Digital Media
|
- Image rendering
- Online game scalability testing
| May help to:
- Improve time-to-market
- Reduce production costs
- Encourage artistic experimentation
- Improve animation quality
|
Other potential uses
- Help optimize IT costs by supplementing fixed, in-house capacity with dedicated on demand capacity in the IBM DCCoD centers
- Apply high levels of scalability to unplanned complex or time-constrained projects
- Workload overflow- when compute-intensive workloads occasionally exceed the scalable limits of your in-house computing infrastructure
- Backup for failure of in-house computing resources
- Flex capacity for unscheduled or unfunded peak capacity workloads
- Flex capacity to help accelerate or save a project schedule
- Experiment with compute-intensive applications or models of unproven business value without a commitment to permanent supercomputing infrastructure
- Add temporary capacity during an in-house HPC infrastructure acquisition and implementation
- Delay or avoid infrastructure or data center upgrades altogether
- Perform scalability/stress testing to plan capacity for future implementations
- Perform technology evaluations
| 
