AI and HPC Performance Modeling
Our AI and High-Performance Computing (HPC) Performance Modeling service provides in-depth analysis and performance expectations as well as realistic ressource requirements.
Our Approach
- Detailed performance characterization of AI and HPC applications
- Comprehensive system design and architecture evaluation
- Resource utilization and bottleneck identification
- Predictive modeling for computational efficiency
- Scalability and performance optimization recommendations
Specialized Services
Our experts utilize advanced analytical techniques and measurement-based methods to provide actionable insights that enhance computational performance and system design.
AI LLM training & inference performance modeling
Find out what to expect on current & future hardware, so we can design the adequate one.
HPC analytical modeling.
Several canonical benchmark (HPL, HPL-MxP, HPCG, Stream) or numerical schemes (FD, FFT, QCD) can be modeled at various scales, even with uncertainties. Same for collective communications.
Application performance modeling
When analytical models are not available, the best solution is to collect data during a profiling phase and have a dedicated extrapolation model.
Hardware performance modeling and competitive analysis
Competitive analysis of future hardware specifications is interesting to get a first "spped of Light" feeling of "what to expect". Doable on any hardware and applied to any applications !