Feb 17 · 1 min read · Choosing the right infrastructure is arguably as important as the model architecture itself. In our latest article, we examine the dedicated server landscape for 2026. We review LEO Servers, phoenixNAP, DataPacket, and others to see who offers the be...
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Feb 8 · 5 min read · Pretraining an LLM from scratch usually sounds like “big-lab-only” territory. I wanted to test how far a smaller, practical setup can go while keeping the process transparent and reproducible. This post documents an end-to-end run of training a ~360M...
Join discussionJan 23 · 2 min read · In modern system design, we often obsess over micro-optimizations in our code while ignoring the biggest bottleneck of all: the speed of light. For developers and CTOs targeting the Asia-Pacific (APAC) market, physical geography is a hard constraint....
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Dec 23, 2025 · 5 min read · The Critical Role of GPUs in Modern AI Infrastructure Graphics Processing Units (GPUs) continue dominating AI infrastructure in 2025 because of their parallel processing architecture, which enables simultaneous execution of thousands of calculations—...
Join discussionDec 6, 2025 · 6 min read · GPU Scheduling: The Hidden Infrastructure Crisis Killing AI Companies Why GPU scheduling has become the most expensive problem nobody’s talking about The AI industry has a dirty secret: while everyone obsesses over model architectures and training t...
Join discussionNov 27, 2025 · 22 min read · Every time you ask ChatGPT a question, get a movie recommendation on Netflix, or watch your phone recognize faces in photos, billions of matrix multiplications are happening behind the scenes. This fundamental mathematical operation has become the co...
Join discussionNov 27, 2025 · 43 min read · In our previous blog, we explored GPU computing fundamentals: memory hierarchies, thread organization, warps, memory coalescing, and kernel classification (memory-bound vs. compute-bound). In this blog, we apply these concepts to optimize GEMM (Gener...
Join discussionNov 17, 2025 · 4 min read · In the era of cloud-native development, the abstraction of hardware often obscures the physical reality of infrastructure. However, for high-performance workloads, such as real-time gaming, AI model training, and high-frequency trading, the underlyin...
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Nov 17, 2025 · 4 min read · The NVIDIA H100 GPU is among the most powerful GPUs designed specifically for artificial intelligence (AI), machine learning (ML), and high-performance computing (HPC) workloads. Before investing in this GPU, it is crucial to understand its specifica...
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