Compute Optimized 8C · 16 GB
Bundle
AWS Lightsail Compute Optimized 8C costs $168/mo for 8 vCPU, 16 GB of RAM and 640 GB SSD, cheaper than 12% of the 524 VPS plans we track, checked 16 Sept 2026.
Price
$168/mo
$0.2258/hour
$10.50 per GB RAM
Cheaper than 12% of tracked offers
Specs vs the whole index
- RAM
- 16 GB> 53% of offers
- vCPU
- 8 shared> 71% of offers
- Disk
- 640 GB SSD> 94% of offers
- Bandwidth
- 7 TB/mo
Flat-rate bundle incl. public IPv4; monthly derived from the published hourly USD rate × 744 h (matches AWS's advertised bundle price within a cent). Specs anchored to US East (N. Virginia); transfer quota is lower in some Asia-Pacific regions.
Value score
21/100
- RAM · 16 GB
- 16.0
- vCPU · 8
- 12.0
- Disk · 640 GB SSD, 500 GB counted
- 16.0
- Traffic · 7 TB
- 2.1
- 46.1 points ÷ $168
- 0.27 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 0.27 points per dollar against the 524 tracked VPS plans, whose median is 0.43. A higher score means more machine for the money.
Regions · 19
- Asia Pacific (Hong Kong)
- Asia Pacific (Malaysia)
- Dublin, IE
- Europe (Spain)
- Frankfurt, DE
- Jakarta, ID
- London, GB
- Montreal, CA
- Mumbai, IN
- N. Virginia, US
- Ohio, US
- Oregon, US
- Paris, FR
- Seoul, KR
- Singapore, SG
- Stockholm, SE
- Sydney, AU
- São Paulo, BR
- Tokyo, JP
Data provenance
AWS Lightsail · AWS public price list · pricing.us-east-1.amazonaws.com (AmazonLightsail)
Fetched 16 Sept 2026
Prices exclude VAT. Always confirm on the provider's site.
One-click via Lightsail blueprints: WordPress · Node.js (+43-app catalog) matrix →
Where this sits in the market
At $168/mo, Compute Optimized 8C · 16 GB is cheaper than 12% of the 524 VPS plans in our index. It delivers 16 GB of RAM at $10.50/GB, 94% above the $5.42/GB market median. Its value score of 21/100 ranks it #303 among VPS plans that include a disk, and it is the 12th cheapest of AWS Lightsail's 12 tracked plans.
Open models this box runs comfortably · CPU inference
how we compute this →- Qwen3 14B~2.1–4.3 tok/s
- DeepSeek-R1 Distill Qwen 14B~2.1–4.3 tok/s
- Phi-4 14B~2.2–4.3 tok/s
- Mistral Nemo 12B~2.6–5.2 tok/s
- Gemma 3 12B~2.6–5.2 tok/s
- Qwen3 8B~3.9–7.7 tok/s
- DeepSeek-R1-0528 Qwen3 8B~3.9–7.7 tok/s
- Llama 3.1 8B~3.9–7.9 tok/s
Largest two per lineup that fit 16 GB with 20% headroom at Q4_K_M and an 8K context; speeds are bandwidth-bound estimates for 8 shared vCPU.