Instances›AWS EC2›inf2›inf2.xlarge
Compute
vCPUs4
Memory16 GiB
Mem / vCPU4.00 GiB
ProcessorEPYC 7R13 Processor
Clock speed2.95 GHz
Architecturex86_64
Storage
TypeEBS only
Bandwidth10,000 Mbps
Throughput1250 MB/s
IOPS40,000
Networking
PerformanceUp to 15 Gigabit
Max ENIs4
IPv6Yes
GPUNone
Family sizes
inf2.xlarge4 vCPU · 16 GiB
inf2.8xlarge32 vCPU · 128 GiB
inf2.24xlarge96 vCPU · 384 GiB
inf2.48xlarge192 vCPU · 768 GiB
inf2.xlarge

The inf2.xlarge is a machine-learning accelerator AWS EC2 instance: 4 vCPU and 16 GiB of memory, 4.00 GiB per vCPU. In the name, "inf" is Inferentia, AWS's inference silicon, "2" is the generation and "xlarge" is the size within the inf2 family. It runs on AMD EPYC 7R13 Processor at 2.95 GHz, and AWS introduced it in April 2023. inf2 is the current generation of the inf family, so there is no newer AWS size to migrate to. Rackspace Spot has no equivalent to offer: the Inferentia and Trainium accelerators are AWS-exclusive silicon with no third-party equivalent. Spot's largest VM tops out at 16 vCPU and 128 GiB, and even that is not the missing piece here. The table below prices what AWS charges; the honest answer on the Spot side is that this workload stays where it is.

Match qualityNo equivalent

inf2.xlarge is Machine Learning ASIC hardware. That accelerator has no counterpart in the Rackspace Spot catalog, and nothing in it emulates one at a speed worth paying for — this is a genuine no-match, not a weak one.

Rackspace Spot sells x86_64 Kubernetes nodes up to 16 vCPU, plus one NVIDIA A30 GPU class. What does move is the CPU half of the pipeline built around the accelerator: ingest, pre- and post-processing, orchestration, and the serving front end. On most accelerator workloads that tier runs continuously while the accelerator itself is duty-cycled, which is where the bill actually accumulates.

Pricing by region
1 hr
RegionAWS on-demandAWS Spot1-yr Reserved3-yr ReservedRackspace SpotYou save
US East, N. Virginia$0.758$0.156$0.478$0.328
US Central, Chicagono AWS region
US Central, Dallasno AWS region
Hong Kong
Sydney, Australia$0.986$0.333$0.621$0.426
London, UK$1.137$0.117$0.717$0.524
US West, San Jose
US Central, Dallas 2no AWS region
US East, N. Virginia 2$0.758$0.156$0.478$0.328
When to use it
Good for
  • ●Cost-per-inference optimisation inside AWS
  • ●Inference or training on AWS's own accelerator silicon
  • ●Workloads already built against the Neuron SDK
  • ●Workloads that fit inside 16 GiB of RAM
  • ●Small, steady services that do not need more than 4 vCPU
  • ●Network-heavy services — AWS rates this size at Up to 15 Gigabit
Avoid if
  • ●The working set needs more than 16 GiB of RAM
  • ●Local NVMe or instance-store disk is a hard requirement
  • ●GPU or FPGA acceleration is needed
  • ●Frameworks that have not been compiled for the Neuron SDK.
  • ●More than 4.00 GiB of RAM per vCPU is needed — that ratio is fixed for the whole family
Rackspace Spot sells spare capacity at market prices. You pay what the market decides, not a list price.
  • 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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