Skip to content

Performance benchmarking suite for different GPU types #6

@Defilan

Description

@Defilan

Description

Create comprehensive performance benchmarking suite to validate and compare GPU performance across different hardware.

Goals

  • Automated benchmarking script
  • Standard test models (3B, 7B, 13B)
  • Metrics collection (tok/s, latency, memory usage)
  • Comparison reports

GPU Types to Benchmark

  • NVIDIA L4 (baseline complete in v0.2.0)
  • NVIDIA T4
  • NVIDIA A100
  • AMD MI250 (when ROCm support added)
  • Intel Data Center GPU Max (when oneAPI support added)

Metrics to Collect

  • Prompt processing tokens/sec
  • Generation tokens/sec
  • P50/P95/P99 latency
  • GPU memory usage
  • Power consumption
  • Cost per 1K tokens
  • Model loading time

Success Criteria

  • Benchmark script in scripts/benchmark/
  • Results stored in structured format (JSON/CSV)
  • Markdown report generator
  • CI integration for regression testing
  • Documentation in docs/benchmarks/

Sprint

Sprint 2-3 priority

Current Baseline

Performance data from Sprint 0 available in docs/gpu-performance-sprint0.md

Metadata

Metadata

Assignees

No one assigned

    Labels

    area/gpuGPU-related features and issuesarea/performancePerformance optimization and benchmarkingenhancementNew feature or requestgpuGPU acceleration featureskind/featureNew feature or requestperformancePerformance improvementssize/largeLarge effort (> 3 days)testingTest infrastructure

    Type

    No type

    Projects

    No projects

    Milestone

    No milestone

    Relationships

    None yet

    Development

    No branches or pull requests

    Issue actions