AWS

d2.8xlarge

EC2 Instance

About the

d2.8xlarge

instance

Storage-optimized instance with 36 vCPUs, 244 GiB memory, and 24x2TB HDD. Highest storage capacity in D2 family for large-scale data processing.

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Pricing of

d2.8xlarge

N/A

On Demand

N/A

Spot

N/A

1 Yr Reserved

N/A

3 Yr Reserved

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Spot Pricing Details for

d2.8xlarge

Here's the latest prices for this instance across this region:

Availability Zone	Current Spot Price (USD)

Frequency of Interruptions: n/a

Frequency of interruption represents the rate at which Spot has reclaimed capacity during the trailing month. They are in ranges of < 5%, 5-10%, 10-15%, 15-20% and >20%.

Last Updated On: December 17, 2024

Compute features of

d2.8xlarge

Feature	Specification

Storage features of

d2.8xlarge

Feature	Specification

Networking features of

d2.8xlarge

Feature	Specification

Operating Systems Supported by

d2.8xlarge

Operating System	Supported

Security features of

d2.8xlarge

Feature	Supported

General Information about

d2.8xlarge

Feature	Specification

Benchmark Test Results for

d2.8xlarge

CPU Encryption Speed Benchmarks

Cloud Mercato tested CPU performance using a range of encryption speed tests:

Encryption Algorithm	Speed (1024 Block Size, 3 threads)
AES-128 CBC	N/A
AES-256 CBC	N/A
MD5	N/A
SHA256	N/A
SHA512	N/A

I/O Performance

Cloud Mercato's tested the I/O performance of this instance using a 100GB General Purpose SSD. Below are the results:

	Read	Write
Max	N/A	N/A
Average	N/A	N/A
Deviation	N/A	N/A
Min	N/A	N/A

I/O rate testing is conducted with local and block storages attached to the instance. Cloud Mercato uses the well-known open-source tool FIO. To express IOPS the following parametersare used: 4K block, random access, no filesystem (except for write access with root volume and avoidance of cache and buffer.

See

Cloud Mercato's full benchmark results for this instance here

Community Insights for

d2.8xlarge

AI-summarized insights

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d2 instances have an even higher ratio of disk to CPU and memory, which makes them a good fit for Massively Parallel Processing (MPP), MapReduce and Hadoop distributed computing, and similar applications.