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The Workstation Blog

LLM

Posts tagged LLM.

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Gemini 4 Argon: What It Means for Your Team, and Where to Use It First
2026-10-18

Gemini 4 Argon: What It Means for Your Team, and Where to Use It First

Gemini 4 Argon is built to work for hours on one measurable problem. Here is what shipped, the real costs, and how to pilot it safely on your own backlog.

Balinder WaliaRead
Claude Code, Claude Cowork & ChatGPT for Business Teams
2026-09-19

Claude Code, Claude Cowork & ChatGPT for Business Teams

Which teams should use Claude Code, Claude Cowork, or ChatGPT/OpenAI Agents — and the controls Workstation recommends before production.

Balinder WaliaRead
Enterprise Agentic Frameworks: LangChain, LangGraph & Airflow 3
2026-09-19

Enterprise Agentic Frameworks: LangChain, LangGraph & Airflow 3

Operational guide to LangGraph agents, LangSmith evals, and Apache Airflow 3 schedules — with Workstation promotion and edge patterns.

Balinder WaliaRead
AI GPU Workstations: NVIDIA DGX Spark/Station & Mac Studio M5
2026-09-19

AI GPU Workstations: NVIDIA DGX Spark/Station & Mac Studio M5

How Workstation maps NVIDIA DGX Spark, DGX Station, and Mac Studio M5 into AI Labs and SME packages — factual positioning, no invented prices.

Balinder WaliaRead
How to Deploy Secure AI Agents in Healthcare
2026-09-17

How to Deploy Secure AI Agents in Healthcare

AI agents can book appointments, take payments and support clinical work. Here is how healthcare teams can give them the right access, and no more.

Balinder WaliaRead
Uncovering LLM Bottlenecks: Observability, OTEL & Cost Control
2026-09-04

Uncovering LLM Bottlenecks: Observability, OTEL & Cost Control

Workstation on uncovering LLM agent bottlenecks with observability: OpenTelemetry, Prometheus/Grafana/Thanos, Langfuse — with clear pros/cons, cost levers, and usage metrics that protect margins.

Balinder WaliaRead
Turbocharging LLMs
2026-08-30

Turbocharging LLMs

Workstation on turbocharging LLMs: PagedAttention paging for KV cache, vLLM serving, Self-Debugging for agents, PowerInfer token rates, and EG-MLA memory cuts — with production trade-offs.

Balinder WaliaRead
Deep Learning Systems: Technical Brief for Engineers & Agents
2026-08-21 13:13:23.243522

Deep Learning Systems: Technical Brief for Engineers & Agents

Technical Workstation brief on deep learning: gradient-trained deep nets, discriminative vs generative models, task metrics, and Bedrock vs Kubernetes serving.

WorkstationRead
Unboxing Mac Studio M4 and Running Your First LLM
2026-08-21 13:13:22.183885

Unboxing Mac Studio M4 and Running Your First LLM

I unboxed a Mac Studio M4 Max with 128 GB unified memory and 40 GPU cores, installed Ollama, ran Llama 3.1 8B locally, and built a private RAG pipeline - all on one quiet, 6.48 W idle desk-side box.

WorkstationRead
RAG Systems: The Future of Enterprise AI Applications
2026-08-21 13:13:12.880116

RAG Systems: The Future of Enterprise AI Applications

Learn how Retrieval-Augmented Generation (RAG) is transforming enterprise AI by combining the power of large language models with your proprietary data.

WorkstationRead
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Popular topics

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Latest posts

  1. 01Gemini 4 Argon: What It Means for Your Team, and Where to Use It First2026-10-18
  2. 02Claude Code, Claude Cowork & ChatGPT for Business Teams2026-09-19
  3. 03Enterprise Agentic Frameworks: LangChain, LangGraph & Airflow 32026-09-19
  4. 04AI GPU Workstations: NVIDIA DGX Spark/Station & Mac Studio M52026-09-19
  5. 05How to Deploy Secure AI Agents in Healthcare2026-09-17

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