Instances›AWS EC2›r7gd›r7gd.16xlarge
Compute
vCPUs64
Memory512 GiB
Mem / vCPU8.00 GiB
ProcessorGraviton3 Processor
Clock speed2.5 GHz
Architecturearm64
Storage
Type2 × 1,900 GB NVMe SSD
Bandwidth20,000 Mbps
Throughput2500 MB/s
IOPS80,000
Networking
Performance30 Gigabit
Max ENIs15
IPv6Yes
GPUNone
Family sizes
r7gd.medium1 vCPU · 8 GiB
r7gd.large2 vCPU · 16 GiB
r7gd.xlarge4 vCPU · 32 GiB
r7gd.2xlarge8 vCPU · 64 GiB
r7gd.4xlarge16 vCPU · 128 GiB
r7gd.8xlarge32 vCPU · 256 GiB
r7gd.12xlarge48 vCPU · 384 GiB
r7gd.16xlarge64 vCPU · 512 GiB
r7gd.metal64 vCPU · 512 GiB
r7gd.16xlarge

r7gd.16xlarge is AWS's memory-optimized EC2 size at 64 vCPU and 512 GiB. In the name, "r" stands for RAM, "7" is the generation, "gd" marks AWS Graviton (ARM) processors and local NVMe storage and "16xlarge" is the size within the r7gd family. It runs on AWS Graviton3 Processor at 2.5 GHz, and AWS introduced it in July 2023. AWS has since shipped r8gd and r9gd; r8gd.16xlarge is the direct replacement at this size. The closest Spot shape is mh.vs1.2xlarge at 16 vCPU, so this instance maps to 4 of them — 64 vCPU and 512 GiB across the fleet, $4.35/hr on AWS in US East (N. Virginia), from $0.084/hr on Rackspace Spot. Spot delivers compute as managed Kubernetes, so a node pool of that size is the native shape of the answer rather than a workaround — provided the workload scales horizontally.

Match qualityScale-out match

r7gd.16xlarge gives you 64 vCPU and 512 GiB in a single machine. The largest comparable Spot node, mh.vs1.2xlarge, is 16 vCPU and 128 GiB, so the equivalent here is 4 nodes rather than one.

Spot runs as managed Kubernetes, so a 4-node pool is the normal way to run things rather than a workaround. If your workload already sits behind a load balancer, a queue or a scheduler, it spreads across them without changes. If it needs all 64 cores and 512 GiB in one process, it does not.

x86_64 onlyr7gd.16xlarge is Graviton (arm64) and Rackspace Spot has no arm64 nodes, so you'd be moving to x86. You'll need x86 builds of your images, and per-core speed differs between the chips — worth testing before you decide how many nodes to run.
No local diskr7gd.16xlarge comes with 2 × 1,900 GB NVMe SSD attached to the machine. Spot nodes use network storage only, so that disk doesn't come with it. If you were using it as fast scratch space, you'd move to a persistent volume or object storage, which are slower to read.
Pricing by region
1 hr
RegionAWS on-demandAWS Spot1-yr Reserved3-yr ReservedRackspace SpotYou save
US East, N. Virginia$4.355$2.131$2.737$1.882$0.084
$4.271 savings
US Central, Chicagono AWS region$0.084
US Central, Dallasno AWS region$0.524
Hong Kong$5.292$3.334$2.286$0.084
$5.208 savings
Sydney, Australia$5.011$1.471$3.157$2.165$0.084
$4.927 savings
London, UK$5.110$0.570$3.220$2.208$0.524
$4.586 savings
US West, San Jose$4.899$1.927$3.086$2.116$0.008
$4.891 savings
US Central, Dallas 2no AWS region$0.968
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 512 GiB of RAM
  • ●Jobs that want 2 × 1,900 GB of local NVMe scratch space
  • ●Network-heavy services — AWS rates this size at 30 Gigabit
  • ●Anything that shards cleanly across 4 nodes, which is how it maps onto Rackspace Spot
Avoid if
  • ●Starting a new deployment. r8gd.16xlarge is the newer generation at this size.
  • ●The working set needs more than 512 GiB of RAM
  • ●You cannot rebuild x86-only binaries or vendor images for aarch64
  • ●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
$3,179/mo on AWS on-demand against $61/mo on Rackspace Spot for the 4-node 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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