Archive
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Scaling Disaggregated Memory Pools via CXL Architecture
Imagine you are managing a fleet of 50,000 servers. You’re looking at your telemetry dashboard, and you see a frustrating, multi-million dollar paradox. Half o…
Meta’s Sub-Millisecond Exascale Model Persistence
The Hook: Imagine you are training a 1 Trillion parameter model. Your GPU cluster is humming at a blistering 4 ExaFLOPs. You’ve spent $10 million on compute in…
Engineering the Infinite GPU with Multi-Tenancy and RDMA
In the high-stakes world of Generative AI, there is a dirty secret that most infrastructure providers aren't talking about: Your GPUs are probably bored.
Overcoming the Storage I/O Wall
You remember the feeling, right? That sinking sensation when you benchmark your shiny new database cluster and realize you're getting 150,000 IOPS with a p50 l…
Deterministic Simulation Testing for Distributed Databases
Imagine it’s 3:00 AM. Your distributed database—the one that powers a global payments system or a high-frequency trading platform—just hit a deadlock. You look…
AWS S3: Achieving Strong Consistency at Scale Using TLA+
Distributed systems are, by their very nature, a descent into madness. If you’ve ever stayed up until 4:00 AM chasing a "heisenbug" that only appears when a sp…
Predicting Edge Network Performance with Transformers
Imagine it is 2:59 PM UTC on a Friday. Your global edge network is humming along at a comfortable 40% utilization. Then, a major gaming studio drops a 50GB pat…
Facebook: Taming the Thundering Herd at Scale
Imagine you are a backend engineer at Facebook (Meta). It’s a quiet Tuesday afternoon until a celebrity with 100 million followers posts a single photo. Within…
Scaling Trillion-Parameter Inference for Ultra-Low Latency
You’ve seen the benchmarks. You’ve felt the hype. Whether it’s GPT-4, Claude 3 Opus, or the inevitable rise of open-weights behemoths like Llama-4, we are firm…