Instances›AWS EC2›r6id›r6id.large
Compute
vCPUs2
Memory16 GiB
Mem / vCPU8.00 GiB
ProcessorXeon 8375C
Clock speed3.5 GHz
Architecturex86_64
Storage
Type1 × 118 GB NVMe SSD
Bandwidth10,000 Mbps
Throughput1250 MB/s
IOPS40,000
Networking
PerformanceUp to 12.5 Gigabit
Max ENIs3
IPv6Yes
GPUNone
Family sizes
r6id.large2 vCPU · 16 GiB
r6id.xlarge4 vCPU · 32 GiB
r6id.2xlarge8 vCPU · 64 GiB
r6id.4xlarge16 vCPU · 128 GiB
r6id.8xlarge32 vCPU · 256 GiB
r6id.12xlarge48 vCPU · 384 GiB
r6id.16xlarge64 vCPU · 512 GiB
r6id.24xlarge96 vCPU · 768 GiB
r6id.32xlarge128 vCPU · 1024 GiB
r6id.metal128 vCPU · 1024 GiB
r6id.large

r6id.large is AWS's memory-optimized EC2 size at 2 vCPU and 16 GiB. In the name, "r" stands for RAM, "6" is the generation, "id" marks Intel processors and local NVMe storage and "large" is the size within the r6id family. It runs on Intel Xeon 8375C (Ice Lake) at 3.5 GHz, and AWS introduced it in June 2022. AWS has since shipped r7i, r8id and r9g; r7i.large is the direct replacement at this size. On Rackspace Spot the same shape is mh.vs2.medium — 2 vCPU, 16 GiB, matched on both dimensions, about 93% below the US East (N. Virginia) on-demand rate.

Match qualityNo local disk

r6id.large comes with 1 × 118 GB NVMe SSD attached to the machine. Rackspace Spot nodes use network storage only, so that disk does not come with it.

If you were using the local disk as fast scratch space — temporary files, a local cache, an index — you will need a persistent volume or object storage instead, and both are slower to read. If it was just extra space you never depended on, nothing changes.

Pricing by region
1 hr
RegionAWS on-demandAWS Spot1-yr Reserved3-yr ReservedRackspace SpotYou save
US East, N. Virginia$0.151$0.049$0.095$0.065$0.011
$0.140 savings
US Central, Chicagono AWS region$0.021
US Central, Dallasno AWS region$0.041
Hong Kong$0.002
Sydney, Australia$0.174$0.055$0.110$0.075$0.011
$0.163 savings
London, UK$0.177$0.027$0.112$0.077$0.011
$0.166 savings
US West, San Jose$0.031
US Central, Dallas 2no AWS region$0.031
When to use it
Good for
  • ●Real-time analytics over hot datasets
  • ●Database instances that keep the working set in RAM
  • ●Graph and search workloads with large indexes
  • ●Workloads that fit inside 16 GiB of RAM
  • ●Jobs that want 1 × 118 GB of local NVMe scratch space
  • ●Network-heavy services — AWS rates this size at Up to 12.5 Gigabit
Avoid if
  • ●Starting a new deployment. r7i.large is the newer generation at this size.
  • ●The working set needs more than 16 GiB of RAM
  • ●GPU or FPGA acceleration is needed
  • ●CPU-bound work. You are paying for memory this workload will not use.
  • ●More than 8.00 GiB of RAM per vCPU is needed — that ratio is fixed for the whole family
Stop overpaying AWS. This compute costs $110/mo on AWS vs $8/mo on Rackspace Spot.
  • 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