Optimized Cloud 1C · 8 GB
Optimized Cloud
Vultr Optimized Cloud 1C costs $75/mo for 1 vCPU, 8 GB of RAM and 150 GB NVMe, cheaper than 42% of the 524 VPS plans we track, checked 16 Sept 2026.
Price
$75/mo
$0.1030/hour
$9.38 per GB RAM
Cheaper than 42% of tracked offers
Specs vs the whole index
- RAM
- 8 GB> 31% of offers
- vCPU
- 1 dedicated> 0% of offers
- Disk
- 150 GB NVMe> 64% of offers
- Bandwidth
- 4.1 TB/mo
Deployable regions vary by plan; list shows all Vultr locations
Value score
11/100
- RAM · 8 GB
- 8.0
- vCPU · 1
- 1.5
- Disk · 150 GB NVMe
- 6.0
- Traffic · 4.1 TB
- 1.2
- 16.7 points ÷ $75
- 0.22 per $
1 point per GB of RAM, 1.5 per vCPU, 1 per 25 GB of disk up to 500 GB (SSD × 0.8, HDD × 0.4), and 0.3 per TB of traffic up to 20 TB.
The score ranks 0.22 points per dollar against the 524 tracked VPS plans, whose median is 0.43. A higher score means more machine for the money.
Regions · 33
- Amsterdam, NL
- Atlanta, US
- Bangalore, IN
- Mumbai, IN
- Paris, FR
- Delhi NCR, IN
- Dallas, US
- New Jersey, US
- Frankfurt, DE
- Honolulu, US
- Seoul, KR
- Osaka, JP
- Johannesburg, ZA
- Los Angeles, US
- London, GB
- Madrid, ES
- Manchester, GB
- Melbourne, AU
- Mexico City, MX
- Miami, US
- Milan, IT
- Tokyo, JP
- Chicago, US
- São Paulo, BR
- Santiago, CL
- Seattle, US
- Singapore, SG
- Silicon Valley, US
- Stockholm, SE
- Sydney, AU
- Tel Aviv, IL
- Warsaw, PL
- Toronto, CA
Data provenance
Vultr · Public API · api.vultr.com/v2/plans
Fetched 16 Sept 2026
Prices exclude VAT. Always confirm on the provider's site.
One-click via Vultr Marketplace: Docker · WordPress · Coolify · Node.js · Nextcloud · Minecraft · WireGuard (+122-app catalog) matrix →
Where this sits in the market
At $75/mo, Optimized Cloud 1C · 8 GB is cheaper than 42% of the 524 VPS plans in our index. It delivers 8 GB of RAM at $9.38/GB, 73% above the $5.42/GB market median. Its value score of 11/100 ranks it #337 among VPS plans that include a disk, and it is the 35th cheapest of Vultr's 66 tracked plans.
Open models this box runs comfortably · CPU inference
how we compute this →- Qwen2.5-Coder 7B~0.8–1.6 tok/s
- Gemma 3 4B~1.4–2.8 tok/s
- Qwen3 4B~1.5–3 tok/s
- Phi-4-mini 3.8B~1.5–3.1 tok/s
- Llama 3.2 3B~1.8–3.7 tok/s
- Llama 3.2 1B~4.8–9.6 tok/s
- Gemma 3 1B~5.9–12 tok/s
Largest two per lineup that fit 8 GB with 20% headroom at Q4_K_M and an 8K context; speeds are bandwidth-bound estimates for 1 dedicated vCPU.