AWS LightsailGeneral Purpose 2C · 8 GB
Bundle
AWS Lightsail General Purpose 2C costs $43.99/mo for 2 vCPU, 8 GB of RAM and 160 GB SSD, cheaper than 56% of the 524 VPS plans we track, checked 16 Sept 2026.
Price
$43.99/mo
$0.0591/hour
$5.50 per GB RAM
Cheaper than 56% of tracked offers
Specs vs the whole index
- RAM
- 8 GB> 31% of offers
- vCPU
- 2 shared> 14% of offers
- Disk
- 160 GB SSD> 66% of offers
- Bandwidth
- 5 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
45/100
- RAM · 8 GB
- 8.0
- vCPU · 2
- 3.0
- Disk · 160 GB SSD
- 5.1
- Traffic · 5 TB
- 1.5
- 17.6 points ÷ $43.99
- 0.40 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 0.40 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 $43.99/mo, General Purpose 2C · 8 GB is cheaper than 56% of the 524 VPS plans in our index. It delivers 8 GB of RAM at $5.50/GB, 1% above the $5.42/GB market median. Its value score of 45/100 ranks it #236 among VPS plans that include a disk, and it is the 6th cheapest of AWS Lightsail's 12 tracked plans.
Open models this box runs comfortably · CPU inference
how we compute this →- Qwen2.5-Coder 7B~1–2.1 tok/s
- Gemma 3 4B~1.8–3.7 tok/s
- Qwen3 4B~2–3.9 tok/s
- Phi-4-mini 3.8B~2.1–4.1 tok/s
- Llama 3.2 3B~2.5–4.9 tok/s
- Llama 3.2 1B~6.4–13 tok/s
- Gemma 3 1B~7.9–16 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 2 shared vCPU.
