AI Infrastructure: Inference, Chips & RAG Systems
The systems AI runs on: compute, chips, inference, retrieval and RAG pipelines — and what it costs to serve intelligence at scale.
AI 101
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15 min read
Aug 5, 2026
AI Hardware Explained: From GPUs and TPUs to NPUs, IPUs and FPGAs
What is a TPU in AI? Compare CPU, GPU, TPU, ASIC, NPU, IPU, APU, and FPGA — how each chip works, who builds them, and when each is the right choice.)
AI 101
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11 min read
May 21, 2026
AI 101: From Tokens to Answers: What Actually Happens During LLM Inference
How LLM inference works end-to-end: tokenization, embeddings, prefill, decode, KV cache, batching, retrieval, and modern inference orchestration.
AI 101
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12 min read
May 6, 2026
AI 101: Agentic Vector Databases – What Is That?
How vector databases are evolving for AI agents: agentic RAG with Qdrant, memory layers with Weaviate Engram, and Pinecone Nexus knowledge engine explained.
AI 101
+3
12 min read
Mar 18, 2026
Nemotron 3 and the Surprising Coalition Building New AI in the Open
Nemotron Coalition is NVIDIA's bet on open frontier AI — with Mistral, Cursor, Black Forest Labs and others. How Nemotron 3 works and who holds power.
AI 101
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14 min read
Feb 25, 2026
AI 101: The Inference Chip Wars – MatX, Taalas, and the Cracks in the GPU Era
The inference chip landscape in 2026: NVIDIA Vera Rubin, MatX's programmable LLM accelerator, and Taalas' model-as-hardware approach compared on cost per token
AI 101
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11 min read
Apr 2, 2025
LLM Inference Explained: Latency, Throughput & How It Work
LLM inference latency and throughput explained: TTFT, TPOT, batch vs real-time, edge vs cloud, and the hardware behind faster inference.
AI 101
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7 min read
Sep 11, 2024
What is HybridRAG?
we discuss the innovative combination of VectorRAG and GraphRAG in HybridRAG, its impact on financial document analysis and other areas of implementation, and clarify related terms for better understanding
AI 101
+1
9 min read
Aug 14, 2024
What is Speculative RAG
Speculative RAG uses a small drafter and a large verifier LM to boost RAG speed and accuracy. How it works, where it excels, and key limitations.
AI 101
+1
6 min read
Jul 10, 2024
What is LongRAG framework?
LongRAG uses 4K-token retrieval units instead of 100-word chunks, reducing corpus size 30×. How LongRAG architecture works and how it compares to standard RAG.
AI 101
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4 min read
Jun 19, 2024
What is FSDP and YaFSDP?
FSDP shards model params across GPUs to reduce memory overhead. YaFSDP by Yandex adds layer sharding — saving 150 GPUs and cutting LLM training time by 26%.
