Posts
Liquid Cooling at 45°C: The New Thermal Math of AI Factories
AI data center cooling has moved from a facilities concern to a hard limit on usable GPU capacity. NVIDIA says its Rubin…
Emin Budak
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Intel Crescent Island: The Case for an Inference-First Data Center GPU
Inference data center GPU design is moving from a broad promise to a clear product decision. Intel has positioned Crescent Island as…
Emin Budak
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Qualcomm Dragonfly AI300: Why Memory Bandwidth Is an Inference Product
AI accelerator memory bandwidth has become a product decision, not a footnote beneath peak TOPS. Qualcomm positions its Dragonfly AI300 as a…
Emin Budak
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AMD MI355X and MLPerf 6.0: How to Read an Inference Benchmark
Inference benchmark results can help size an AI serving fleet, but only if the numbers are read in context. AMD’s MLPerf Inference…
Emin Budak
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AI Networking in 2026: Why the GPU Is Not the Whole Inference Story
AI networking now shapes inference quality of service as directly as GPU selection. A production agent does not send one prompt to…
Emin Budak
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AI Context Caching: The New Constraint in Inference Infrastructure
AI context caching has become a capacity problem, not a minor serving tweak. A production agent may keep a long system prompt,…
Emin Budak
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AI Inference Hardware in 2026: The Real Bottleneck Is the System
AI inference hardware is becoming a system-design problem, not a race to buy the accelerator with the highest quoted throughput. Modern serving…
Emin Budak
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NoGPU Pipelines: Why Not Every AI Video Job Needs a GPU Queue
NoGPU pipelines are useful when an AI video request is really a repeatable media operation, not an open-ended generation problem. A vertical…
Emin Budak
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P-Video 2: Planning GPU Capacity for AI Video Bursts
AI video GPU capacity cannot be planned from an average render time alone. A video request combines duration, frame rate, resolution, controls,…
Emin Budak
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AI Video Inference Is Shifting From Generation to Control
AI video inference is moving from one-shot prompt-to-clip generation toward controlled rendering: a workflow where teams specify the opening state, motion, timing,…
Emin Budak
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P-Video 2 and the New Economics of Controlled AI Video
Controlled AI video generation is shifting from a novelty budget to an infrastructure budget. P-Video 2 brings text-to-video, image-to-video, and audio-conditioned generation…
Emin Budak
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GPT-6 Astra Computer Use: The Reliability Shift
GPT-6 Astra computer use matters because agent reliability no longer comes down to whether a model can click through a demo. It…
Emin Budak
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Gemini 3.1 TTS: The Hidden Infrastructure Behind Real-Time Voice
real-time voice infrastructure is becoming a first-class AI systems problem. Gemini 3.1 TTS turns text into natural speech with selectable voices and…
Emin Budak
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DeepSeek V4 Pro: When a 1M-Token Context Is Actually Useful
Long-context inference becomes useful when a task needs one coherent evidence set, not when a prompt simply has room left. DeepSeek V4…
Emin Budak
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Why Video Captioning Is Becoming an Inference Pipeline Problem
Video captioning infrastructure is moving closer to the media pipeline itself. Once a team publishes a few clips a week, captions can…
Emin Budak
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GPT-6 Astra: Why Long Context Changes Agent Infrastructure
Long-context AI agents turn model context from a convenience into a system design variable. GPT-6 Astra supports a 1,050,000-token context window and…
Emin Budak
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GPT-5.6 Sol and the Shift From AI Demos to Lab Operations
AI research automation is moving from polished demos into the operating loop of real laboratories. GPT-5.6 Sol matters because its strongest use…
Emin Budak
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8 Prompts for AI Infrastructure Visuals
AI infrastructure visuals fail when prompts stop at “server rack.” A useful visual has a job: explain a request path, set the…
Emin Budak
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Grok Imagine Image V2 vs Seedream V5 Pro: 5 Real Tests
Grok Imagine Image V2 vs Seedream V5 Pro is a practical comparison for teams producing GPU, data-center, and edge-AI visuals. Both models…
Emin Budak
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Top 4 AI Models for Infrastructure Visuals in 2026
AI models for infrastructure visuals need a different test than ordinary image generators. A pretty server room does not help much if…
Emin Budak
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Grok Imagine Image V2: 5 Surprising Real Tests
Grok Imagine Image V2 is an image model for text generation and single-image edits, with 1K or 2K output, selectable aspect ratios,…
Emin Budak
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P Image Ideogram: 5 Real Infrastructure Tests
P Image Ideogram matters when an infrastructure image must explain a system before anyone reads the body copy. GPU briefs, capacity-planning decks,…
Emin Budak
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