{"id":40531,"date":"2026-10-23T13:00:43","date_gmt":"2026-10-23T13:00:43","guid":{"rendered":"https:\/\/itbusinesstoday.com\/?p=40531"},"modified":"2026-10-23T13:00:43","modified_gmt":"2026-10-23T13:00:43","slug":"ai-workload-placement-how-enterprises-are-deciding-what-runs-in-the-cloud-edge-and-data-center","status":"publish","type":"post","link":"https:\/\/itbusinesstoday.com\/ja\/tech\/ai\/ai-workload-placement-how-enterprises-are-deciding-what-runs-in-the-cloud-edge-and-data-center\/","title":{"rendered":"AI\u30ef\u30fc\u30af\u30ed\u30fc\u30c9\u306e\u914d\u7f6e\uff1a\u4f01\u696d\u304c\u30af\u30e9\u30a6\u30c9\u3001\u30a8\u30c3\u30b8\u3001\u30c7\u30fc\u30bf\u30bb\u30f3\u30bf\u30fc\u306e\u3069\u3053\u3067\u5b9f\u884c\u3059\u308b\u304b\u3092\u3069\u306e\u3088\u3046\u306b\u6c7a\u5b9a\u3057\u3066\u3044\u308b\u304b"},"content":{"rendered":"

You’re launching your enterprise’s AI workloads. Where should they run if all of your cost, speed, security, and scalability requirements are pulled in different directions? Moving AI from prototype to production has revealed an issue that many businesses overlook while the model may work, the engine you’re running it on can make getting there expensive, slow, or impossible to scale.<\/p>

Google Cloud’s July 2026 survey shows that 83%<\/a> of surveyed senior IT decision-makers said their current infrastructure didn’t meet the requirements of a production-grade agentic AI. The question is how to decide between public cloud, on-premises data centers, and edge requirements based on workload needs.<\/p>

AI\u30ef\u30fc\u30af\u30ed\u30fc\u30c9\u306e\u30b9\u30da\u30af\u30c8\u30eb\u3092\u7406\u89e3\u3059\u308b<\/h3>

\"AI-Workload\"Most companies have to first figure out what their workload does before running AI anywhere, and finding the best environments for training versus inference can be very different. Training and inference put different demands on an infrastructure, meaning that, potentially, a single environment isn’t conducive to both. Training requires a lot of input data to create a model, and inference takes that trained model to make a prediction, decision, or output.<\/p>

\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u306b\u306f\u9ad8\u6027\u80fd\u306aGPU\u3084TPU\u304c\u5fc5\u8981\u306b\u306a\u308b\u5834\u5408\u304c\u3042\u308a\u3001 high-bandwidth<\/a> \u901a\u4fe1\u30c1\u30e3\u30cd\u30eb\u306b\u52a0\u3048\u3001\u5927\u898f\u6a21\u306a\u5b66\u7fd2\u30c7\u30fc\u30bf\u3092\u51e6\u7406\u3057\u3001\u30e2\u30c7\u30eb\u30d1\u30e9\u30e1\u30fc\u30bf\u3092\u66f4\u65b0\u3059\u308b\u305f\u3081\u306e\u5341\u5206\u306a\u8a08\u7b97\u80fd\u529b\u3082\u5fc5\u8981\u3068\u306a\u308b\u3002\u3053\u306e\u3088\u3046\u306a\u8ca0\u8377\u306e\u9ad8\u3044\u51e6\u7406\u306f\u3001\u96c6\u4e2d\u578b\u306e\u30af\u30e9\u30a6\u30c9\u30a4\u30f3\u30d5\u30e9\u3084\u5c02\u7528\u306e\u30c7\u30fc\u30bf\u30bb\u30f3\u30bf\u30fc\u4e0a\u3067\u5b9f\u884c\u3067\u304d\u308b\u3002.<\/p>

\u63a8\u8ad6\u306b\u304a\u3044\u3066\u306f\u3001\u5fdc\u7b54\u6642\u9593\u3001\u30b3\u30b9\u30c8\u3001\u305d\u3057\u3066\u63a8\u8ad6\u3092\u30a2\u30d7\u30ea\u3084\u30e6\u30fc\u30b6\u30fc\u306e\u3069\u3053\u306b\u914d\u7f6e\u3059\u3079\u304d\u304b\u304c\u91cd\u8981\u3068\u306a\u308b\u3002\u4f01\u696d\u306f\u8981\u4ef6\u306b\u5fdc\u3058\u3066\u3001\u30a8\u30c3\u30b8\u3001\u30af\u30e9\u30a6\u30c9\u3001\u307e\u305f\u306f\u30aa\u30f3\u30d7\u30ec\u30df\u30b9\u306e\u3044\u305a\u308c\u304b\u306b\u63a8\u8ad6\u3092\u914d\u7f6e\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u308b\u3002.<\/p>

\u4eca\u65e5\u306eAI\u306e\u6d3b\u8e8d\u306e\u5834<\/h3>

AI\u30ef\u30fc\u30af\u30ed\u30fc\u30c9\u306e\u9069\u5207\u306a\u914d\u7f6e\u5148\u3092\u9078\u3076\u305f\u3081\u306e\u9375\u306f\u3001\u30ef\u30fc\u30af\u30ed\u30fc\u30c9\u304c\u5b9f\u884c\u3055\u308c\u308b\u74b0\u5883\u306e\u6a5f\u80fd\u3092\u8a55\u4fa1\u3059\u308b\u3053\u3068\u306b\u3042\u308b\u3002\u30d1\u30d6\u30ea\u30c3\u30af\u30af\u30e9\u30a6\u30c9\u3001\u30aa\u30f3\u30d7\u30ec\u30df\u30b9\u30c7\u30fc\u30bf\u30bb\u30f3\u30bf\u30fc\u3001\u30a8\u30c3\u30b8\u30b3\u30f3\u30d4\u30e5\u30fc\u30c6\u30a3\u30f3\u30b0\u306f\u3001\u305d\u308c\u305e\u308c\u7570\u306a\u308b\u5229\u70b9\u3092\u6301\u30643\u3064\u306e\u30b3\u30f3\u30d4\u30e5\u30fc\u30c6\u30a3\u30f3\u30b0\u74b0\u5883\u3067\u3042\u308a\u3001\u4f01\u696d\u306eAI\u6226\u7565\u306b\u304a\u3044\u3066\u305d\u308c\u305e\u308c\u306e\u5f79\u5272\u3092\u679c\u305f\u3059\u3053\u3068\u304c\u3067\u304d\u308b\u3002.<\/p>

1. \u30d1\u30d6\u30ea\u30c3\u30af\u30af\u30e9\u30a6\u30c9\uff1a\u4fca\u654f\u6027\u3068\u7121\u9650\u306e\u62e1\u5f35\u6027<\/h4>

\u30d1\u30d6\u30ea\u30c3\u30af\u30af\u30e9\u30a6\u30c9\u306f\u3001\u8981\u4ef6\u304c\u6025\u901f\u306b\u62e1\u5927\u3059\u308b\u72b6\u6cc1\u3067\u3001\u30cf\u30fc\u30c9\u30a6\u30a7\u30a2\u306e\u8abf\u9054\u3092\u5f85\u3064\u4f59\u88d5\u304c\u306a\u3044\u5834\u5408\u306b\u975e\u5e38\u306b\u6709\u7528\u3060\u3002\u30d1\u30d6\u30ea\u30c3\u30af\u30af\u30e9\u30a6\u30c9\u306f\u3001\u57fa\u76e4\u30e2\u30c7\u30eb\u306e\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u3001\u30d7\u30ed\u30c8\u30bf\u30a4\u30d4\u30f3\u30b0\u3001\u304a\u3088\u3073\u6025\u901f\u306b\u5909\u5316\u3059\u308b\u30ef\u30fc\u30af\u30ed\u30fc\u30c9\u8981\u4ef6\u3078\u306e\u5bfe\u5fdc\u306b\u6700\u3082\u9069\u3057\u3066\u3044\u308b\u3002MLOps\u30b5\u30fc\u30d3\u30b9\u3092\u5229\u7528\u3059\u308c\u3070\u3001\u30a4\u30f3\u30d5\u30e9\u30b9\u30c8\u30e9\u30af\u30c1\u30e3\u5c64\u3092\u7ba1\u7406\u3059\u308b\u3053\u3068\u306a\u304f\u3001\u30e2\u30c7\u30eb\u306e\u958b\u767a\u3001\u30c7\u30d7\u30ed\u30a4\u3001\u66f4\u65b0\u3092\u884c\u3046\u3053\u3068\u304c\u3067\u304d\u308b\u3002.<\/p>

\u3057\u304b\u3057\u3001\u305d\u306e\u67d4\u8edf\u6027\u306b\u306f\u30b3\u30b9\u30c8\u9762\u3067\u306e\u8003\u616e\u4e8b\u9805\u3082\u4f34\u3046\u3002GPU\u30ef\u30fc\u30af\u30ed\u30fc\u30c9\u306f\u9ad8\u984d\u306b\u306a\u308a\u304c\u3061\u3067\u3042\u308a\u3001\u30c7\u30fc\u30bf\u30b9\u30c8\u30ec\u30fc\u30b8\u3001\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u8ee2\u9001\u3001\u30a8\u30b0\u30ec\u30b9\u6599\u91d1\u306a\u3069\u304c\u3001\u30c1\u30fc\u30e0\u304c\u8a08\u753b\u3057\u5fd8\u308c\u3066\u3057\u307e\u3046\u3088\u3046\u306a\u4e88\u671f\u305b\u306c\u30b3\u30b9\u30c8\u3068\u3057\u3066\u5bb9\u6613\u306b\u767a\u751f\u3057\u3066\u3057\u307e\u3046\u3002 \u57fa\u76e4\u30e2\u30c7\u30eb\u306e\u5927\u898f\u6a21\u306a\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u5b9f\u884c\u306b\u306f\u3001\u7269\u7406\u7684\u306a\u5236\u7d04\u3082\u3042\u308b\u3002Google Cloud\u306b\u3088\u308b\u3068\u3001\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u304c\u5358\u4e00\u62e0\u70b9\u306e\u53ef\u7528\u96fb\u529b\u3084\u7269\u7406\u7684\u306a\u8a2d\u7f6e\u9762\u7a4d\u306e\u9650\u754c\u3092\u8d85\u3048\u308b\u5834\u5408\u3001\u9ad8\u5e2f\u57df\u5e45\u306e\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u3092\u5229\u7528\u3057\u3066\u8907\u6570\u306e\u30c7\u30fc\u30bf\u30bb\u30f3\u30bf\u30fc\u3092\u63a5\u7d9a\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u308b\u3068\u3044\u3046\u3002.<\/p>

2. \u30aa\u30f3\u30d7\u30ec\u30df\u30b9\u578b\u30c7\u30fc\u30bf\u30bb\u30f3\u30bf\u30fc\uff1a\u7ba1\u7406\u3001\u30b3\u30b9\u30c8\u3001\u30b3\u30f3\u30d7\u30e9\u30a4\u30a2\u30f3\u30b9<\/h4>

On-premises infrastructure provides enterprises with direct oversight of their hardware, data, security policies, and operating environment. It’s also appropriate for predictable, persistent inference workloads where volume is sufficient to support the hardware investment. Enterprises can also customize open-source large language models with their own data in a controlled environment, eliminating the need to send sensitive data to external services.<\/p>

\u30b3\u30b9\u30c8\u3068\u30c8\u30ec\u30fc\u30c9\u30aa\u30d5\u306e\u30d0\u30e9\u30f3\u30b9\u3092\u8a08\u7b97\u3059\u308b\u306e\u306f\u96e3\u3057\u3044\u3002\u4e00\u65b9\u3067 \u30af\u30e9\u30a6\u30c9<\/a> \u30af\u30e9\u30a6\u30c9\u30b5\u30fc\u30d3\u30b9\u306f\u591a\u304f\u306e\u5834\u5408\u3001\u5206\u5358\u4f4d\u3084\u6642\u9593\u5358\u4f4d\u3067\u8ab2\u91d1\u3055\u308c\u308b\u304c\u3001GPU\u3084\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u6a5f\u5668\u3001\u30b7\u30b9\u30c6\u30e0\u30a4\u30f3\u30d5\u30e9\u306e\u8cfc\u5165\u306f\u8cc7\u672c\u96c6\u7d04\u7684\u306a\u6295\u8cc7\u3067\u3042\u308a\u3001\u904b\u7528\u30b3\u30b9\u30c8\u306f\u4e88\u6e2c\u53ef\u80fd\u3067\u3001\u30af\u30e9\u30a6\u30c9\u306e\u8ab2\u91d1\u4f53\u7cfb\u3088\u308a\u3082\u4e8b\u524d\u306b\u898b\u901a\u3057\u304c\u7acb\u3066\u3084\u3059\u3044\u5834\u5408\u304c\u3042\u308b\u3002\u3082\u3063\u3068\u3082\u3001\u3053\u308c\u306f\u5229\u7528\u7387\u3001\u30cf\u30fc\u30c9\u30a6\u30a7\u30a2\u306e\u66f4\u65b0\u30b5\u30a4\u30af\u30eb\u3001\u30a8\u30cd\u30eb\u30ae\u30fc\u30b3\u30b9\u30c8\u3001\u5fc5\u8981\u306a\u4eba\u54e1\u6570\u306b\u3088\u3063\u3066\u7570\u306a\u308b\u3002 \u672a\u4f7f\u7528\u306e\u30cf\u30fc\u30c9\u30a6\u30a7\u30a2\u306f\u83ab\u5927\u306a\u30b3\u30b9\u30c8\u306b\u3064\u306a\u304c\u308b\u53ef\u80fd\u6027\u304c\u3042\u308b\u4e00\u65b9\u3067\u3001\u8a2d\u8a08\u4e0a\u306e\u5bb9\u91cf\u5236\u9650\u304c\u6210\u9577\u306e\u59a8\u3052\u306b\u306a\u308b\u3053\u3068\u3082\u3042\u308b\u3002\u898f\u5236\u4e0a\u306e\u554f\u984c\u306b\u3088\u308a\u3001\u30aa\u30f3\u30d7\u30ec\u30df\u30b9\u3067\u306e\u4fdd\u6709\u304c\u3088\u308a\u5fc5\u8981\u3068\u306a\u308b\u5834\u5408\u3055\u3048\u3042\u308b\u304c\u3001\u3060\u304b\u3089\u3068\u3044\u3063\u3066\u3059\u3079\u3066\u3092\u30aa\u30f3\u30d7\u30ec\u30df\u30b9\u3067\u30db\u30b9\u30c8\u3059\u308b\u5fc5\u8981\u304c\u3042\u308b\u308f\u3051\u3067\u306f\u306a\u3044\u3002.<\/p>

3. The Edge\uff1a\u8d85\u4f4e\u9045\u5ef6\u3068\u30ea\u30a2\u30eb\u30bf\u30a4\u30e0\u306e\u30a2\u30af\u30b7\u30e7\u30f3<\/h4>

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\u751f\u30c7\u30fc\u30bf\u3092\u9001\u4fe1\u3059\u308b\u5fc5\u8981\u304c\u306a\u3044\u305f\u3081\u3001\u30a4\u30f3\u30bf\u30fc\u30cd\u30c3\u30c8\u63a5\u7d9a\u3078\u306e\u4f9d\u5b58\u5ea6\u3092\u4f4e\u6e1b\u3057\u3001\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u30c8\u30e9\u30d5\u30a3\u30c3\u30af\u306e\u91cf\u3092\u524a\u6e1b\u3067\u304d\u308b\u3002\u3055\u3089\u306b\u3001\u3053\u306e\u624b\u6cd5\u306f\u3001\u63a5\u7d9a\u304c\u5236\u9650\u3055\u308c\u3066\u3044\u308b\u3001\u3042\u308b\u3044\u306f\u63a5\u7d9a\u304c\u306a\u3044\u74b0\u5883\u3067\u3082\u5229\u7528\u3067\u304d\u308b\u3002\u30a8\u30a2\u30ae\u30e3\u30c3\u30d7\u74b0\u5883\u3067\u306f\u3001\u5fc5\u8981\u306a\u30e2\u30c7\u30eb\u3001\u30c7\u30fc\u30bf\u3001\u30a4\u30f3\u30d5\u30e9\u304c\u30ed\u30fc\u30ab\u30eb\u306b\u5b58\u5728\u3059\u308c\u3070\u3001\u5916\u90e8\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u306b\u30a2\u30af\u30bb\u30b9\u3059\u308b\u3053\u3068\u306a\u304f\u30ed\u30fc\u30ab\u30eb\u63a8\u8ad6\u3092\u5b9f\u884c\u3067\u304d\u308b\u3002 \u305f\u3060\u3057\u3001\u30a8\u30c3\u30b8\u30a4\u30f3\u30d5\u30e9\u306f\u96c6\u4e2d\u578b\u30a4\u30f3\u30d5\u30e9\u306b\u6bd4\u3079\u3066\u6f14\u7b97\u80fd\u529b\u3001\u30e1\u30e2\u30ea\u3001\u30b9\u30c8\u30ec\u30fc\u30b8\u304c\u9650\u3089\u308c\u3066\u3044\u308b\u305f\u3081\u3001\u5236\u7d04\u6761\u4ef6\u3082\u8003\u616e\u3059\u308b\u5fc5\u8981\u304c\u3042\u308b\u3002\u3053\u308c\u306f\u3001\u4f01\u696d\u304c\u30e2\u30c7\u30eb\u306e\u30b5\u30a4\u30ba\u3001\u7cbe\u5ea6\u3001\u66f4\u65b0\u983b\u5ea6\u3001\u304a\u3088\u3073\u30a8\u30c3\u30b8\u5074\u306e\u6f14\u7b97\u80fd\u529b\u306e\u30d0\u30e9\u30f3\u30b9\u3092\u53d6\u308b\u5fc5\u8981\u304c\u3042\u308b\u3053\u3068\u3092\u610f\u5473\u3059\u308b\u3002.<\/p>

AI\u30ef\u30fc\u30af\u30ed\u30fc\u30c9\u6c7a\u5b9a\u30de\u30c8\u30ea\u30c3\u30af\u30b9<\/h3>

\u307e\u305a\u306f4\u3064\u306e\u8cea\u554f\u304b\u3089\u59cb\u307e\u308b\u3002\u3053\u308c\u3089\u306f\u3001IT\u30ea\u30fc\u30c0\u30fc\u304c\u30d1\u30d5\u30a9\u30fc\u30de\u30f3\u30b9\u3001\u30b3\u30b9\u30c8\u3001\u30c7\u30fc\u30bf\u30bb\u30ad\u30e5\u30ea\u30c6\u30a3\u3001\u30a4\u30f3\u30d5\u30e9\u3092\u7ba1\u7406\u3059\u308b\u4e0a\u3067\u5f79\u7acb\u3064\u3002.<\/p>

    \n
  1. \u30c7\u30fc\u30bf\u306e\u6a5f\u5bc6\u6027\u306f\u3069\u306e\u7a0b\u5ea6\u304b\u3001\u307e\u305f\u30c7\u30fc\u30bf\u306e\u79fb\u52d5\u306f\u5bb9\u6613\u304b\u3002<\/strong><\/li>\n<\/ol>

    \u30d3\u30c3\u30b0\u30c7\u30fc\u30bf\u306e\u5834\u5408\u3001\u8ee2\u9001\u306b\u306f\u30b3\u30b9\u30c8\u304c\u304b\u304b\u308a\u3001\u6642\u9593\u3082\u304b\u304b\u308b\u3002\u30c7\u30fc\u30bf\u306e\u4e3b\u6a29\u3001\u30b3\u30f3\u30d7\u30e9\u30a4\u30a2\u30f3\u30b9\u3001\u6a5f\u5bc6\u30c7\u30fc\u30bf\u306b\u95a2\u3057\u3066\u306f\u3001\u30aa\u30f3\u30b5\u30a4\u30c8\u307e\u305f\u306f\u627f\u8a8d\u3055\u308c\u305f\u5834\u6240\u3067\u306e\u4fdd\u7ba1\u304c\u5fc5\u8981\u3068\u306a\u308b\u5834\u5408\u304c\u3042\u308b\u3002\u3053\u308c\u306fHIPAA\u3084GDPR\u306b\u304a\u3051\u308b\u8981\u4ef6\u3067\u306f\u306a\u3044\u3002\u30de\u30a4\u30af\u30ed\u30bd\u30d5\u30c8\u306f\u3001\u30c7\u30fc\u30bf\u306e\u6a5f\u5bc6\u6027\u3084\u898f\u5236\u3001\u9045\u5ef6\u3001\u63a5\u7d9a\u6027\u3001\u904b\u7528\u30a2\u30af\u30bb\u30b9\u3001\u304a\u3088\u3073\u8010\u969c\u5bb3\u6027\u306b\u3064\u3044\u3066\u691c\u8a0e\u3059\u308b\u3053\u3068\u3092\u63a8\u5968\u3057\u3066\u3044\u308b\u3002.<\/p>

      \n
    1. AI\u306f\u3069\u306e\u304f\u3089\u3044\u306e\u901f\u3055\u3067\u56de\u7b54\u3059\u308b\u5fc5\u8981\u304c\u3042\u308b\u306e\u304b\uff1f<\/strong><\/li>\n<\/ol>

      Use cases that need to identify faults, navigate robots or need to respond to sensor input within a few milliseconds will use edge inference. Working locally for data processing helps minimize network latency. Those that don’t have as strict latency demands will be able to operate at the cloud or data center.<\/p>

        \n
      1. \u9700\u8981\u306f\u3069\u306e\u7a0b\u5ea6\u4e88\u6e2c\u53ef\u80fd\u304b\u3002<\/strong><\/li>\n<\/ol>

        \u30ef\u30fc\u30af\u30ed\u30fc\u30c9\u304c\u6bd4\u8f03\u7684\u6301\u7d9a\u7684\u3067\u5b89\u5b9a\u3057\u3066\u3044\u308b\u5834\u5408\u306f\u3001\u5c02\u7528\u30a4\u30f3\u30d5\u30e9\u3067\u5bfe\u5fdc\u3067\u304d\u308b\u304b\u3082\u3057\u308c\u306a\u3044\u3002\u5c02\u7528\u30a4\u30f3\u30d5\u30e9\u306b\u304a\u3044\u3066\u3001\u30ef\u30fc\u30af\u30ed\u30fc\u30c9\u304c\u5341\u5206\u306b\u5927\u304d\u3044\u5834\u5408\u3001\u30cf\u30fc\u30c9\u30a6\u30a7\u30a2\u3001\u96fb\u529b\u3001\u304a\u3088\u3073\u4fdd\u5b88\u306e\u30b3\u30b9\u30c8\u3092\u6b63\u5f53\u5316\u3067\u304d\u308b\u3060\u308d\u3046\u3002.<\/p>

          \n
        1. \u8cc7\u6e90\u306e\u6709\u52b9\u6d3b\u7528\u306b\u3088\u3063\u3066\u30b3\u30b9\u30c8\u3092\u524a\u6e1b\u3067\u304d\u308b\u3060\u308d\u3046\u304b\uff1f<\/strong><\/li>\n<\/ol>

          \u8ffd\u52a0\u306eGPU\u3092\u5c0e\u5165\u3059\u308b\u524d\u306b\u3001\u65e2\u5b58\u306e\u30a4\u30f3\u30d5\u30e9\u30b9\u30c8\u30e9\u30af\u30c1\u30e3\u306e\u30d9\u30f3\u30c1\u30de\u30fc\u30af\u3092\u5b9f\u65bd\u3059\u308b\u3002\u4f8b\u3048\u3070\u3001\u3042\u308bAWS\u306e\u97f3\u58f0\u8a8d\u8b58\u5c0e\u5165\u4e8b\u4f8b\u3067\u306f\u3001NVIDIA Multi-Process Service\u3068Triton Inference Server\u3092\u6d3b\u7528\u3059\u308b\u3053\u3068\u3067\u3001\u5fc5\u8981\u306aGPU\u30a4\u30f3\u30d5\u30e9\u30b9\u30c8\u30e9\u30af\u30c1\u30e3\u306e\u91cf\u3092 75%<\/a> \u3053\u306e\u30e6\u30fc\u30b9\u30b1\u30fc\u30b9\u306b\u304a\u3044\u3066\u306f\u3001\u5831\u544a\u3055\u308c\u3066\u3044\u308b\u52d5\u4f5c\u70b9\u306b\u304a\u3044\u3066\u30011\u79d2\u672a\u6e80\u306e\u6587\u5b57\u8d77\u3053\u3057\u9045\u5ef6\u3092\u7dad\u6301\u3057\u3064\u3064\u3002.<\/p>

          \u914d\u7f6e\u306f\u3001\u4e00\u3064\u306e\u74b0\u5883\u3067\u3059\u3079\u3066\u306b\u5bfe\u5fdc\u3067\u304d\u308b\u3068\u3044\u3046\u8aa4\u3063\u305f\u524d\u63d0\u3067\u306f\u306a\u304f\u3001\u5b9f\u969b\u306e\u4f5c\u696d\u8ca0\u8377\u306e\u8981\u4ef6\u3068\u7dcf\u6240\u6709\u30b3\u30b9\u30c8\u306b\u57fa\u3065\u3044\u3066\u884c\u3046\u3079\u304d\u3060\u3002.<\/p>

          \u30ef\u30fc\u30af\u30ed\u30fc\u30c9\u914d\u7f6e\u306e\u5b9f\u8df5<\/h3>

          \"AI-Workload\"\u3060\u304b\u3089\u3053\u305d\u3001AI\u30ef\u30fc\u30af\u30ed\u30fc\u30c9\u306e\u914d\u7f6e\u306b\u304a\u3044\u3066\u306f\u3001\u30bf\u30b9\u30af\u3001\u74b0\u5883\u3001\u30c7\u30fc\u30bf\u306e\u6027\u8cea\u304c\u91cd\u8981\u3068\u306a\u308b\u306e\u3060\u3002.<\/p>

          \u88fd\u9020\uff1a <\/strong>\u30a8\u30c3\u30b8\u30d9\u30fc\u30b9\u306e\u30b3\u30f3\u30d4\u30e5\u30fc\u30bf\u30d3\u30b8\u30e7\u30f3\u3092\u642d\u8f09\u3057\u305f\u751f\u7523\u30e9\u30a4\u30f3\u306f\u3001\u88fd\u54c1\u304c\u901a\u904e\u3059\u308b\u969b\u306b\u554f\u984c\u3092\u691c\u77e5\u3067\u304d\u308b\u3002\u30c7\u30d0\u30a4\u30b9\u4e0a\u3067\u306e\u63a8\u8ad6\u306b\u3088\u308a\u3001\u5404\u6620\u50cf\u30c7\u30fc\u30bf\u3092\u30af\u30e9\u30a6\u30c9\u306b\u9001\u4fe1\u3059\u308b\u3053\u3068\u306a\u304f\u3001\u88fd\u54c1\u306e\u4e0d\u5177\u5408\u3092\u30ea\u30a2\u30eb\u30bf\u30a4\u30e0\u3067\u691c\u51fa\u3067\u304d\u308b\u3002\u3042\u308b\u4f01\u696d\u306e\u7523\u696d\u7528\u30a2\u30fc\u30ad\u30c6\u30af\u30c1\u30e3\u306f\u3001 AWS<\/a> \u307e\u305f\u3001Edge Impulse\u306f\u30ed\u30fc\u30ab\u30eb\u3067\u306e\u7269\u4f53\u691c\u51fa\u306b\u52a0\u3048\u3001\u30af\u30e9\u30a6\u30c9\u30d9\u30fc\u30b9\u306e\u30aa\u30fc\u30b1\u30b9\u30c8\u30ec\u30fc\u30b7\u30e7\u30f3\u3068\u81ea\u7136\u8a00\u8a9e\u51e6\u7406\u3092\u6d3b\u7528\u3059\u308b\u3053\u3068\u3067\u3001\u9001\u4fe1\u3055\u308c\u308b\u751f\u52d5\u753b\u306e\u91cf\u3092\u6700\u5c0f\u9650\u306b\u6291\u3048\u3001\u901a\u4fe1\u74b0\u5883\u306e\u5236\u7d04\u3092\u88dc\u3046\u3002.<\/p>

          \u91d1\u878d\u30b5\u30fc\u30d3\u30b9\uff1a<\/strong> Hybrid approaches help banks be at their customers’ side and share the risk. Customer-facing features, for example chatbots, can be run on a cloud infrastructure that scales up and down, and fraud detection features could be run on-premises in a controlled environment where data security, access and integration considerations are much more amenable to on-site operation.<\/p>

          In cases where hospitals demand greater oversight of patient information and need to enhance coordination with other clinical systems, AI medical imaging solutions can be implemented locally. But on-premises deployment isn’t necessarily required by regulation. Allowed cloud environments are also an option, depending on the rules, security and how patient data is handled.<\/p>

          \u3053\u308c\u3089\u306e\u4f8b\u304c\u793a\u3059\u3088\u3046\u306b\u3001AI\u30ef\u30fc\u30af\u30ed\u30fc\u30c9\u306e\u30a4\u30f3\u30c6\u30ea\u30b8\u30a7\u30f3\u30c8\u306a\u914d\u7f6e\u3068\u306f\u3001AI\u30b7\u30b9\u30c6\u30e0\u306e\u3042\u3089\u3086\u308b\u5074\u9762\u3092\u4e00\u304b\u6240\u306b\u96c6\u7d04\u3057\u3088\u3046\u3068\u3059\u308b\u306e\u3067\u306f\u306a\u304f\u3001AI\u30b7\u30b9\u30c6\u30e0\u306e\u3055\u307e\u3056\u307e\u306a\u5074\u9762\u3092\u74b0\u5883\u9593\u3067\u30d0\u30e9\u30f3\u30b9\u3088\u304f\u914d\u5206\u3059\u308b\u3053\u3068\u3067\u3042\u308b\u3002.<\/p>

          \u672a\u6765\u306f\u30cf\u30a4\u30d6\u30ea\u30c3\u30c9\u3060<\/h3>

          \u6210\u529f\u3059\u308b\u53ef\u80fd\u6027\u306f\u4f4e\u3044 AI\u30a4\u30f3\u30d5\u30e9<\/a> \u3053\u306e\u6226\u7565\u3067\u306f\u30011\u7a2e\u985e\u306e\u74b0\u5883\u306e\u307f\u3092\u5bfe\u8c61\u3068\u3059\u308b\u3002\u30cf\u30a4\u30d6\u30ea\u30c3\u30c9AI\u30a4\u30f3\u30d5\u30e9\u306e\u5834\u5408\u3001\u30b3\u30f3\u30d4\u30e5\u30fc\u30c6\u30a3\u30f3\u30b0\u30ea\u30bd\u30fc\u30b9\u306e\u5229\u7528\u3084\u30b9\u30b1\u30fc\u30ea\u30f3\u30b0\u306b\u306f\u5f15\u304d\u7d9a\u304d\u30af\u30e9\u30a6\u30c9\u3092\u6d3b\u7528\u3057\u3001\u30ef\u30fc\u30af\u30ed\u30fc\u30c9\u306e\u5236\u5fa1\u304c\u5fc5\u8981\u306a\u5834\u5408\u306f\u30c7\u30fc\u30bf\u30bb\u30f3\u30bf\u30fc\u3092\u5229\u7528\u3057\u3001\u91cd\u8981\u306a\u610f\u601d\u6c7a\u5b9a\u306b\u306f\u30a8\u30c3\u30b8\u30c7\u30d0\u30a4\u30b9\u3092\u6d3b\u7528\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u308b\u3002.<\/p>

          \u3053\u3061\u3089\u3082\u304a\u8aad\u307f\u304f\u3060\u3055\u3044\uff1a AsiaQuest\u3068\u30ea\u30b3\u30fc\u3001AI\u30a8\u30fc\u30b8\u30a7\u30f3\u30c8\u306e\u7d71\u5408\u3092\u8a66\u9a13\u7684\u306b\u5b9f\u65bd<\/a><\/h4>

          Kubernetes\u306a\u3069\u306e\u30b3\u30f3\u30c6\u30ca\u5316\u30c4\u30fc\u30eb\u306f\u3001\u74b0\u5883\u3092\u6a2a\u65ad\u3057\u3066\u30a2\u30d7\u30ea\u30b1\u30fc\u30b7\u30e7\u30f3\u3092\u5c55\u958b\u30fb\u5b9f\u884c\u3059\u308b\u306e\u306b\u5f79\u7acb\u3064\u3002\u307e\u305f\u3001\u7d71\u4e00\u3055\u308c\u305fGenAIOps\u306e\u539f\u5247\u3092\u6d3b\u7528\u3059\u308b\u3053\u3068\u3067\u3001\u76e3\u8996\u3001\u5236\u5fa1\u3001\u30d1\u30d5\u30a9\u30fc\u30de\u30f3\u30b9\u7ba1\u7406\u306b\u5411\u3051\u305f\u5358\u4e00\u306e\u30a2\u30d7\u30ed\u30fc\u30c1\u3092\u69cb\u7bc9\u3067\u304d\u308b\u3002\u30ef\u30fc\u30af\u30ed\u30fc\u30c9\u306e\u79fb\u884c\u304c\u5fc5\u8981\u3060\u304c\u3001\u305d\u306e\u969b\u306b\u306f\u4e92\u63db\u6027\u3001\u30c7\u30fc\u30bf\u3078\u306e\u30a2\u30af\u30bb\u30b9\u3001\u30bb\u30ad\u30e5\u30ea\u30c6\u30a3\u3068\u3044\u3063\u305f\u8ab2\u984c\u3092\u8003\u616e\u3057\u306a\u3051\u308c\u3070\u306a\u3089\u306a\u3044\u3002.<\/p>

          \u7d50\u8ad6<\/h3>

          \u7d44\u7e54\u304c\u301c\u304b\u3089\u79fb\u884c\u3059\u308b\u306b\u3064\u308c\u3001AI\u30ef\u30fc\u30af\u30ed\u30fc\u30c9\u306e\u914d\u7f6e\u306f\u3001\u30a4\u30f3\u30d5\u30e9\u30b9\u30c8\u30e9\u30af\u30c1\u30e3\u306b\u95a2\u3059\u308b\u91cd\u8981\u306a\u6c7a\u5b9a\u4e8b\u9805\u306e\u4e00\u3064\u3068\u306a\u308b\u898b\u8fbc\u307f\u3060\u3002 \u30d1\u30a4\u30ed\u30c3\u30c8\u305f\u3061<\/a> to deployments. What’s needed is to match each workload with the right combination of compute power, latency, data management, and cost. While there are benefits associated with each approach, none of them provides an automatic solution to all use cases. The need of the hour is to analyze the real workload scenarios, verify performance via testing, and do a total cost of ownership calculation prior to any infrastructure decision. It’s simple: design AI infrastructure based on business needs, ensure the data behind it is safe, and maximize the value of compute power.<\/p>

           <\/p>

           <\/p>","protected":false},"excerpt":{"rendered":"

          You’re launching your enterprise’s AI workloads. Where should they run if all of your cost, speed, security, and scalability requirements are pulled in different directions? Moving AI from prototype to production has revealed an issue that many businesses overlook while the model may work, the engine you’re running it on can make getting there expensive, slow, or impossible to scale.Google Cloud’s July 2026 survey shows that 83% of surveyed senior IT decision-makers said their current infrastructure didn’t meet the requirements of a production-grade agentic AI. The question is how to decide between public cloud, on-premises data centers, and edge requirements based on workload needs.Understanding the AI Workload SpectrumMost companies have […]<\/p>\n","protected":false},"author":5,"featured_media":40559,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_bbp_topic_count":0,"_bbp_reply_count":0,"_bbp_total_topic_count":0,"_bbp_total_reply_count":0,"_bbp_voice_count":0,"_bbp_anonymous_reply_count":0,"_bbp_topic_count_hidden":0,"_bbp_reply_count_hidden":0,"_bbp_forum_subforum_count":0,"wprm-recipe-roundup-name":"","wprm-recipe-roundup-description":"","postBodyCss":"","postBodyMargin":[],"postBodyPadding":[],"postBodyBackground":{"backgroundType":"classic","gradient":""},"footnotes":""},"categories":[186,8098,85],"tags":[14386,1309,384,115,16509],"ppma_author":[324],"class_list":["post-40531","post","type-post","status-publish","format-standard","has-post-thumbnail","category-ai","category-news-articles","category-tech","tag-ai-workload","tag-aws","tag-cloud","tag-data-center","tag-edge"],"yoast_head":"\nHow Enterprises Choose Where to Run AI Workloads<\/title>\n<meta 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