Instances›AWS EC2›m8ine›m8ine.large
Compute
vCPUs2
Memory8 GiB
Mem / vCPU4.00 GiB
ProcessorXeon Scalable
Clock speed3.9 GHz
Architecturex86_64
Storage
TypeEBS only
Bandwidth10,000 Mbps
Throughput1250 MB/s
IOPS40,000
Networking
Performance3.125 Gigabit
Max ENIs4
IPv6Yes
GPUNone
Family sizes
m8ine.large2 vCPU · 8 GiB
m8ine.xlarge4 vCPU · 16 GiB
m8ine.2xlarge8 vCPU · 32 GiB
m8ine.4xlarge16 vCPU · 64 GiB
m8ine.8xlarge32 vCPU · 128 GiB
m8ine.12xlarge48 vCPU · 192 GiB
m8ine.large

The m8ine.large pairs 2 vCPU with 8 GiB of RAM, the 4.00 GiB-per-vCPU ratio that marks a general-purpose instance. In the name, "m" is the general-purpose line, "8" is the generation, "ine" marks Intel processors, enhanced networking and extended capacity and "large" is the size within the m8ine family. It runs on Intel Xeon Scalable (Granite Rapids) at 3.9 GHz, and AWS introduced it in April 2026. AWS has since shipped m9g; m9g.large is the direct replacement at this size, scoring 71,986 CoreMark/s against this instance's 47,222 — roughly 52% more throughput for the same vCPU count. gp.vs2.large is the closest Spot shape: 4 vCPU and 16 GiB, so 2 more vCPU and 8 GiB more memory, about 95% below the US East (N. Virginia) on-demand rate.

Pricing by region
1 hr
RegionAWS on-demandAWS Spot1-yr Reserved3-yr ReservedRackspace SpotYou save
US East, N. Virginia$0.209$0.053$0.011
$0.198 savings
US Central, Chicagono AWS region$0.011
US Central, Dallasno AWS region$0.021
Hong Kong$0.011
Sydney, Australia$0.011
London, UK$0.026
US West, San Jose$0.041
US Central, Dallas 2no AWS region$0.041
US East, N. Virginia 2$0.209$0.053$0.041
$0.168 savings
When to use it
Good for
  • ●Development, staging and CI environments
  • ●Small to mid-size relational databases
  • ●Backend services with no single dominant resource
  • ●Workloads that fit inside 8 GiB of RAM
  • ●Small, steady services that do not need more than 2 vCPU
  • ●Network-heavy services — AWS rates this size at 3.125 Gigabit
Avoid if
  • ●The working set needs more than 8 GiB of RAM
  • ●Local NVMe or instance-store disk is a hard requirement
  • ●GPU or FPGA acceleration is needed
  • ●Sustained full-core CPU load. A compute-optimized family costs less per unit of work.
  • ●More than 4.00 GiB of RAM per vCPU is needed — that ratio is fixed for the whole family
$152/mo on AWS on-demand against $8/mo on Rackspace Spot for the equivalent — market-priced, not list-priced.
  • Spot sells spare capacity at market prices. It is the cheapest compute on the internet.
  • Prices are set by supply and demand. You pay what the market decides.
  • Compute is delivered as fully managed Kubernetes. All infrastructure is taken care of.
  • Egress costs $0.01/GB after the free allowance. AWS charges $0.09/GB.
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Frequently asked questions