RESEARCH // ARCHITECTURE|PLATFORM DISPATCH

DevOps, Cloud & AI Space

Deep dives into Kubernetes clustering, platform engineering, and high-reliability systems design.

Topics:#DevOps #Cloud #Platform Engineering #AI / ML #MLOps #LLMOps

    .--------------------------------.
   /  DevOps & AI Systems Platform   /|
  +--------------------------------+ |
  |  K8s.Cluster: READY            | |
  |  Nodes: 128    Pods: 4,096     | |
  |  Latency: 1.2ms [p99]          | |
  |  .-.     .-.     .-.     .-.   | |
  | (   )   (   )   (   )   (   )  | |
  |  '-'     '-'     '-'     '-'   | |
  |  GitOps: SYNCED [main@f83a02]  | |
  |  LLM Gateway: vLLM + Triton    | |
  |  TPS: 18,450 tok/s             | |
  |                                | |
  |  >> SYSTEM INTEGRITY 100%      | /
  '--------------------------------'

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Articles in #LLMOps.

5 ARTICLES

Running a 552B MoE on Two Desktop Workstations: Dissecting MiaAI’s DeepSeek V4.1 Flash EXL3 Stack

How fine-grained 2.9 bpw mixed quantization, unified memory management, and DSpark speculative decoding fit DeepSeek V4.1 Flash across dual NVIDIA DGX Sparks.

H A R S H H A ASep 17, 2026

4,676313

1 min read

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.

H A R S H H A AAug 30, 2026

6,709482

1 min read

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.

H A R S H H A AAug 26, 2026

6,568354

1 min read

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.

H A R S H H A AAug 26, 2026

4,656286

1 min read

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?

H A R S H H A AAug 14, 2026

13,670642

1 min read

CI/CD in DevOps: Building a Scalable Pipeline on AWS

🚀 Welcome to Harshhaa's DevOps & Cloud Space – Your DevOps & Cloud Companion

Scripting in DevOps: A Complete Guide from Beginner to Advanced

Learn DevOps by Playing Games 🎮

50 DevOps Project Ideas to Build Your Skills: From Beginner to Advanced

Running a 552B MoE on Two Desktop Workstations: Dissecting MiaAI’s DeepSeek V4.1 Flash EXL3 Stack

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

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

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

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

CI/CD in DevOps: Building a Scalable Pipeline on AWS

🚀 Welcome to Harshhaa's DevOps & Cloud Space – Your DevOps & Cloud Companion

Scripting in DevOps: A Complete Guide from Beginner to Advanced

Learn DevOps by Playing Games 🎮

50 DevOps Project Ideas to Build Your Skills: From Beginner to Advanced

Running a 552B MoE on Two Desktop Workstations: Dissecting MiaAI’s DeepSeek V4.1 Flash EXL3 Stack

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

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

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

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