Scaling Beyond a Single Box: Engineering Multi-Node Distributed LLM Serving for Production

How tensor parallelism, 200 Gb/s RoCE, and low-level runtime forensics turn raw multi-GPU hardware into a rock-solid, 1-million-token AI serving platform.

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H A R S H H A A6 days ago

Squeezing a 27B LLM into a $700 GPU: A Masterclass in AI Platform Engineering

How low-level inference engineering, 4-bit quantization, and speculative decoding push 1,000+ tokens/sec out of a consumer RTX 3090.

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H A R S H H A A2 days ago

The Sub-$1,000 MoE Cluster: Serving a 70B Mixture-of-Experts with Speculative Expert Paging

How asynchronous NVMe streaming, router logit lookahead, and tiered ring buffers push production-grade inference out of commodity hardware.

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H A R S H H A AAug 14, 2026

AI Token Cost: What Is a Token — and How Every Model Games the Count

Complaints about opaque AI pricing are flooding social media. Which ones hold up to scrutiny and which are just users' overactive imaginations? How do models slip past their own published rate cards? How do usage limits actually work, and why do companies benefit from keeping the explanations as vague as possible?

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