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Infrastructure – Page 4
The latest Infrastructure news, analysed daily by the i10X newsroom.
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LLM Observability: From Sandbox to Production SRE
LLM observability tools are maturing fast as AI teams tackle production challenges like RAG tracing, token costs, and hallucinations. Discover how OpenTelemetry is driving open standards…
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GPT-Image-2.5 Sunburst on Replicate: API Image Generation
Discover how GPT-Image-2.5 Sunburst on Replicate delivers scalable API access for text-to-image generation and editing. Ideal for developers building production-grade visual AI workflows. Explore the guide.
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AI Agents: Infrastructure, Risks & Enterprise Governance
Autonomous AI agents are shifting from experiments to enterprise systems, requiring new infrastructure for orchestration and control. Explore reward hacking risks, observability gaps, and governance strategies…
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Ollama Tuning: Optimize Local LLM Quality Beyond Setup
Ollama has simplified local LLM inference, but advanced tuning with Mirostat, top_p, and smart quantization is now key to matching cloud quality. Explore hardware-aware optimizations for…
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LLM Inference Optimization: vLLM, TGI & TensorRT-LLM
Discover how vLLM, Hugging Face TGI, and TensorRT-LLM boost LLM inference with PagedAttention and speculative decoding. Cut costs up to 60% and handle growing context windows.…
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Mistral AI: Enterprise Data Sovereignty with On-Prem LLMs
Mistral AI offers open-weight models like Mixtral that run inside enterprise data centers, cutting cloud costs and meeting strict data privacy rules. Learn how to deploy…
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DeepSeek V4.1 Flash Analysis: Speed, Cost & TCO Insights
DeepSeek V4.1 Flash targets extreme inference speed and cost-efficiency. Our analysis covers benchmarks, MoE architecture, vLLM compatibility, and real-world TCO compared to GPT-4o-mini and Claude 3.5…
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Semantic Caching for LLMs: Infrastructure War and Risks
Semantic caching slashes LLM costs by serving similar queries from vector databases. Discover vendor positioning, security risks like cache poisoning, and best practices for developers.
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OpenAI Inference Scaling Solves 90-Year Math Problem
OpenAI used 130 billion tokens and formal verification to solve a decades-old math problem. Discover how inference compute is reshaping AI reasoning and infrastructure demands.
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AI Agent Economy: Enterprise Impacts and Infrastructure Shifts
The AI agent economy introduces autonomous systems for planning and collaboration. Learn how it disrupts SaaS, scales inference demand, and challenges enterprise adoption. Explore the guide.
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NHL 27 Generative AI Commentary: Edge AI Implications
Rumors point to NHL 27 using on-device SLMs and neural TTS for real-time commentary. Explore the AI infrastructure challenges, latency demands, and economic trade-offs behind this…
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Project Astra: From Demos to Real AI Development Workflows
Project Astra moves beyond polished demos into agents that integrate into actual workflows. Learn how it competes with GPT-4o on latency and context, plus the integration,…