arrow_back 返回自由职业
F

Accelerate ROLLCALL A100 Pipeline

Freelancer

分享:
placeFR home_work远程 assignment合同制 public聚合职位 · FR

event发布于 2026年8月26日 · verified我们于 2026年8月31日 确认该职位仍然有效

US$ 100 – US$ 250 (每个项目)

职位介绍

I need an experienced PyTorch/CUDA engineer to squeeze every practical second out of our ROLLCALL Wan 2.2 I2V A14B inference pipeline running on an A100 80 GB while keeping the pictures looking exactly the same. Reducing processing time is the prime objective; any change that simply trades speed for a worse image will be rejected. The first job is a deep profile. Please time each phase separately—model loading, T5/text encoding, VAE, diffusion, decoding, FFmpeg, and all inter-segment overhead—so I can see exactly where the pipeline stalls. From my own sampling it looks as if models may be re-opened for every 5-second chunk, so post-processing and segment overhead are the first areas I’d like you to attack. Once the slow spots are confirmed, create a persistent warm-model worker where it makes sense, tune attention kernels and precision flags that are safe for this installation, and benchmark 20/24/30-step schedules against visual fidelity. Investigate torch.compile, FlashAttention, or similar only if the versions we use are stable today—no experimental branches in production. All optimizations must preserve: • The existing ROLLCALL API contract • Current segment checkpoint/recovery logic When you finish, deliver: • A profiling report with the per-stage timings above • An optimized branch or patch set with clear toggles for your changes • End-to-end seconds-per-5-second-segment numbers for A100 plus an A100 vs H100/H200 cost-per-usable-second comparison (include GPU rental prices you used) • A short readme so another engineer can reproduce your results with the same Docker image Acceptance is based on measured wall-clock improvement and maintained Gold-quality output, not synthetic benchmarks. This video im including took 2.5 hours to make

继续免费阅读

创建免费账户以查看完整职位信息并申请。

  • badge作品集对企业可见
  • notifications新职位邮件提醒
  • favorite始终免费,无任何隐藏条件