{"id":1137,"date":"2026-09-16T22:34:10","date_gmt":"2026-09-16T22:34:10","guid":{"rendered":"https:\/\/bestdedicatedwebhostingserver.com\/blog\/?p=1137"},"modified":"2026-09-16T22:34:10","modified_gmt":"2026-09-16T22:34:10","slug":"game-asset-cdn-storage-tiering-nvme-sata-archive","status":"publish","type":"post","link":"https:\/\/bestdedicatedwebhostingserver.com\/blog\/game-asset-cdn-storage-tiering-nvme-sata-archive\/","title":{"rendered":"Choosing Storage Tiering for Game Asset CDNs: NVMe vs SATA SSD vs HDD Placement Rules"},"content":{"rendered":"

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Not All Game Data Deserves the Same Disk<\/h2>\n

A game asset CDN serves three completely different kinds of data: hot assets read thousands of times per minute, warm assets read on join or map change, and cold archive data read almost never but kept forever. If all three live on the same NVMe array, you are paying the most expensive storage tier in the machine to hold data that will never be read again. If all three live on the same spinning disk, joins take forty seconds and players leave. Storage tiering<\/strong> is the practice of assigning each data class to the media that matches its access pattern. This guide gives you the access-frequency thresholds, the media comparison, and a working tiering layout for a dedicated game asset server.<\/p>\n

Storage is one of the three specs that decide whether a dedicated host can serve assets at scale \u2014 the dedicated server comparison<\/a> breaks out drive bays and NVMe capacity per plan, which sets the ceiling on your tiering design.<\/p>\n

Tiering by Access Pattern, Not by Media Hype<\/h2>\n

Assign every asset to a tier using its read frequency and its latency tolerance. The numbers below are the thresholds that actually separate tiers in a game CDN workload:<\/p>\n\n\n\n\n\n\n\n\n
Tier<\/th>\nMedia<\/th>\nAccess pattern<\/th>\nLatency<\/th>\nCost\/TB (relative)<\/th>\n<\/tr>\n<\/thead>\n
T0 \u2014 Hot<\/td>\nNVMe Gen4\/Gen5 (local)<\/td>\n>1,000 reads\/hour, latency-critical<\/td>\n50-100 \u00b5s<\/td>\n10\u00d7<\/td>\n<\/tr>\n
T1 \u2014 Warm<\/td>\nSATA\/SAS SSD<\/td>\n10-1,000 reads\/hour<\/td>\n100-250 \u00b5s<\/td>\n4\u00d7<\/td>\n<\/tr>\n
T2 \u2014 Cold<\/td>\n7,200-rpm HDD (RAID 10)<\/td>\n<10 reads\/hour, large sequential<\/td>\n4-12 ms<\/td>\n1\u00d7<\/td>\n<\/tr>\n
T3 \u2014 Archive<\/td>\nObject storage \/ offsite<\/td>\nRarely, or never after season end<\/td>\n50-500 ms<\/td>\n0.3\u00d7<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

The important insight is that tier boundaries are defined by read frequency<\/em>, not by file size. A 4 GB map pak file read once per server restart belongs in T2 even though it is huge. A 200 KB weapon skin texture read by every player on every round belongs in T0 even though it is tiny.<\/p>\n

Why NVMe vs SATA Matters More Than Raw Throughput<\/h2>\n

The headline sequential numbers (NVMe Gen4 at 7,000 MB\/s, SATA SSD at 550 MB\/s) are misleading for a CDN, because asset serving is overwhelmingly random small reads from many concurrent connections, not one big sequential stream. What matters is IOPS at a queue depth of 1-4 per connection:<\/p>\n