Update data/artifacts.json

data/artifacts.json

@@ -1,4 +1,32 @@
 [
+  {
+    "title": "☁️ When we pay for AI cloud compute, what are we really paying for? 💲",
+    "date": "2025-10-28",
+    "type": "blog",
+    "description": "We often talk about the financial, energy, and environmental costs of AI interchangeably, or at least in the same breath, but how do they actually relate to each other? To start answering these questions, we ran an analysis looking at the hourly cost for GPU instances across different cloud providers, and how this compares to other characteristics - like energy, memory, and GPU purchase price. We find that strong correlation between the energy requirements, purchase costs, and rent prices on cloud instances of most commercial GPUs, and follow up with a discussion about the market dynamics at large and their importance in the context of AI's strong growth.",
+    "areas": [
+      "sustainability",
+      "ecosystems"
+    ],
+    "topics": [
+      "measuring",
+      "power"
+    ],
+    "url": "https://huggingface.co/blog/sasha/energy-cost-compute"
+  },
+  {
+    "title": "Cloud Compute ☁️, Energy ⚡ and Cost 💲 - Comparison Tool",
+    "date": "2025-10-28",
+    "type": "space",
+    "description": "We gathered data from 5 major cloud compute providers – Microsoft Azure, Amazon Web Services, Google Cloud Platform, Scaleway Cloud, and OVH Cloud – about the price and nature of their AI-specific compute offerings (i.e. all instances that have GPUs). For each instance, we looked at its characteristics – the type and number of GPUs and CPUs that it contains, as well as the quantity of memory it contains and its storage capacity. For each CPU and GPU model, we looked up its TDP (Thermal Design Potential) -- its power consumption under the maximum theoretical load), which is an indicator of the operating expenses required to power it. For GPUs specifically, we also looked at the Manufacturer's Suggested Retail Price (MSRP), i.e. how much that particular GPU model cost at the time of its launch, as an indicator of the capital expenditure required for the compute provider to buy the GPUs to begin with.",
+    "areas": [
+      "sustainability"
+    ],
+    "topics": [
+      "measuring"
+    ],
+    "url": "https://huggingface.co/spaces/sasha/energy-cost-compute"
+  },
   {
     "title": "Before AI Exploits Our Chats, Let’s Learn from Social Media Mistakes",
     "date": "2025-10-13",