Why distributed systems and HPC are the most interesting fields to master now
Abhishekcur · x · 2026-10-20
The author argues distributed systems and high-performance engineering are the most interesting fields because they tackle surreal problems that ML systems heavily depend on. Key points: revise OS and computer architecture fundamentals; learn memory, CPU caches, concurrency and networking; writing code is only a small part — understanding data flow, memory usage and bottlenecks matters more; small changes in memory access can yield huge performance gains, and sometimes the problem lies in OS thread scheduling, CPU workload handling, or inter-machine communication rather than the code.
More from Companies & People
- Humanities dissertations have collapsed, social sciences are next — with AI as one driver — gsiemens · 2026-10-23
- For consumer AI founders, 'When are you launching in Europe?' is the new 'When Android?'—only 100x worse — omooretweets · 2026-10-23
- Lilian Weng to Discuss Recursive Self-Improvement at SGLang Summit 2026 — BanghuaZ · 2026-10-23
- OpenAI FDE team: make custom work obsolete by feeding customer learnings into products — colintjarvis · 2026-10-23
- Bindu Reddy: record AI security incidents, tech stock slide, rogue agents rattle banks — bindureddy · 2026-10-23
- StepFun shows up at AGNTCon and MCP Con North America with booth #24 — StepFun_ai · 2026-10-23