x1e.4xlarge by Amazon Web Services

Name: x1e.4xlarge
Brand: Amazon Web Services

x1e.4xlarge is a Memory intensive [Extra storage or memory] Gen1 4xlarge server offered by Amazon Web Services with 16 vCPUs, 488 GiB of memory and 480 GB of storage. The pricing starts at 0.3555 USD per hour.

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16 vCPU

488 GiB Memory

480 GB Storage

Spare SCore

8296
(All-cores)

739
(Single-core)

Specifications

Server Details

General
Vendor ID	aws
Server ID	x1e.4xlarge
Name	x1e.4xlarge
API Reference	x1e.4xlarge
Display Name	x1e.4xlarge
Description	Memory intensive [Extra storage or memory] Gen1 4xlarge
Family	x1e
Status	active
Observed At	2025-02-26T13:41:08.409816

CPU
vCPUs	16
Hypervisor	xen
CPU Allocation	Dedicated
CPU Cores	8
CPU Speed	2.3 GHz
CPU Architecture	x86_64
CPU Manufacturer	Intel
CPU Family	Xeon
CPU Model	E7-8880 v3
CPU L1 Cache	512 KiB
CPU L2 Cache	2 MiB
CPU L3 Cache	45 MiB
CPU Flags	fpu, vme, de, pse, tsc, msr, pae, mce, cx8, apic, sep, mtrr, pge, mca, cmov, pat, pse36, clflush, mmx, fxsr, sse, sse2, ht, syscall, nx, pdpe1gb, rdtscp, lm, constant_tsc, rep_good, nopl, xtopology, nonstop_tsc, cpuid, aperfmperf, tsc_known_freq, pni, pclmulqdq, ssse3, fma, cx16, pcid, sse4_1, sse4_2, x2apic, movbe, popcnt, tsc_deadline_timer, aes, xsave, avx, f16c, rdrand, hypervisor, lahf_lm, abm, cpuid_fault, pti, fsgsbase, bmi1, hle, avx2, smep, bmi2, erms, invpcid, rtm, xsaveopt

Memory
Memory Amount	488 GiB

GPU
GPU Count	0
GPUs

Storage
Storage Size	480 GB
Storage Type	nvme ssd
Storages	480 GB nvme ssd

Network
Network Speed	2.5 Gbps
Inbound Traffic	0 GB/month
Outbound Traffic	0 GB/month
IPv4	0

Availability

REGION / ID	SPOT	ONDEMAND
Oregon (US) / us-west-2	0.883333 USD/h	3.336 USD/h
Northern Virgina (US) / us-east-1	0.9114 USD/h	3.336 USD/h
Ohio (US) / us-east-2	1.0524 USD/h	3.336 USD/h
Mumbai (IN) / ap-south-1	0.375 USD/h	3.44 USD/h
Quebec (CA) / ca-central-1	2.6607 USD/h	3.667 USD/h
Dublin (IE) / eu-west-1	1.8258 USD/h	4 USD/h
Frankfurt (DE) / eu-central-1	1.4988 USD/h	4.668 USD/h
Cape Town (ZA) / af-south-1	3.0528 USD/h	4.76 USD/h
Seoul (KR) / ap-northeast-2	2.4865 USD/h	4.836 USD/h
Tokyo (JP) / ap-northeast-1	1.48125 USD/h	4.836 USD/h
Sydney (AU) / ap-southeast-2	3.1808 USD/h	4.836 USD/h
Singapore (SG) / ap-southeast-1	1.5497 USD/h	4.836 USD/h
Osaka (JP) / ap-northeast-3	4.836 USD/h	4.836 USD/h
Sao Paulo (BR) / sa-east-1	1.26635 USD/h	6.502 USD/h

Economics

Average Price per Region

Prices per Zone

Lowest Prices

Performance

Memory bandwidth

Compression

OpenSSL

Geekbench Single-Core

Score: 797

Geekbench Multi-Core

Score: 4,537

Passmark CPU scores

BENCHMARK	SCORE
Compression	166597
Encryption	3688
Extended Instructions	8650
Floating Point Maths	19534
Integer Maths	38708
Mark	11162
Physics	1075
Prime Numbers	78
Single Threaded	1476
String Sorting	25162

Passmark Memory scores

BENCHMARK	SCORE
Database Operations	3868
Memory Latency	91
Memory Mark	1540
Memory Read Cached	18665
Memory Read Uncached	5240
Memory Write	5721

stress-ng raw scores

stress-ng relative multicore performance

Static web server

Redis

The following benchmark scenarios were run using Geekbench 6:

- Score: Composite score using the weighted arithmetic mean of the subsection scores, which are computed using the geometric mean of the related scores.
- Asset Compression: Compresses 16 texture images and geometry files using ASTC, BC7, DXTC, and Draco.
- Background Blur: Separates and blurs the background of 10 frames in a 1080p video, using DeepLabV3+.
- Clang: Compiles files (8 in single-core mode, 96 in multi-core mode) of the Lua interpreter using Clang and the musl libc as the C standard library for the compiled files.
- File Compression: Compresses and decompresses the Ruby 3.1.2 source archive (a 75 MB archive with 9841 files) using LZ4 and ZSTD on an in-memory encrypted file system. It also verifies the files using SHA1.
- HDR: Blends six 16MP SDR photos to create a single HDR photo, using a recovery process and radiance map construction (Debevec and Malik 1997), and a tone mapping algorithm (Reinhard and Devlin 2005).
- Horizon Detection: Detects and straightens uneven or crooked horizon lines in a 48MP photo to make it look more realistic, using the Canny edge detector and the Hough transform.
- HTML5 Browser: Opens and renders web pages (8 in single-core mode, 32 in multi-core mode) using a headless web browser.
- Navigation: Generates 24 different routes between a sequence of locations on two OpenStreetMap maps (one for a small city, one for a large city) using Dijkstra's algorithm.
- Object Detection: Detects and classifies objects in 300x300 pixel photos (16 in single-core mode, 64 in multi-core mode) using the MobileNet v1 SSD convolutional neural network.
- Object Remover: Removes an object (using a mask) from a 3MP photo, and fills in the gap left behind using the iterative PatchMatch Inpainting approach (Barnes et al. 2009).
- PDF Renderer: Opens complex PDF documents (4 in single-core mode, 16 in multi-core mode) of park maps from the American National Park Service (sizes from 897 kB to 1.5 MB) with large vector images, lines and text.
- Photo Filter: Applies colour and blur filters, level adjustments, cropping, scaling, and image compositing filters to 10 photos range in size from 3 MP to 15 MP.
- Photo Library: Categorizes and tags photos (16 in single-core mode, 64 in multi-core mode) based on the objects that they contain. The workload performs JPEG decompression, thumbnail generation, image transformations, image classification (using MobileNet 1.0), and storing data in SQLite.
- Ray Tracer: Renders the Blender BMW scene using a custom ray tracer built with the Intel Embree ray tracing library.
- Structure from Motion: Generates 3D geometry by constructing the coordinates of the points that are visible in nine 2D images of the same scene.
- Text Processing: Loads 190 markdown files, parses the contents using regular expressions, stores metadata in a SQLite database, and exports the content to a different format on an in-memory encrypted file system, using a mix of C++ and Python.

Alternatives

Servers of the Same Family

INSTANCE	vCPUs	MEMORY
x1e.xlarge	4	122 GiB
x1e.2xlarge	8	244 GiB
x1e.8xlarge	32	976 GiB
x1e.16xlarge	64	1952 GiB
x1e.32xlarge	128	3904 GiB

Similar Servers

INSTANCE	VENDOR	vCPUs	MEMORY
x2iedn.4xlarge	aws	16	512 GiB
x2iezn.4xlarge	aws	16	512 GiB
M16-4ms	azure	16	438 GiB
M16-8ms	azure	16	438 GiB
M16ms	azure	16	438 GiB
HIMEM-16xCPU-384GB	upcloud	16	384 GiB
HC44-16rs	azure	16	352 GiB

x1e.4xlarge by Amazon Web Services

Specifications

Server Details

Availability

Economics

Average Price per Region

Prices per Zone

Lowest Prices

Performance

Memory bandwidth

Compression

OpenSSL

Geekbench Single-Core

Geekbench Multi-Core

Passmark CPU scores

Passmark Memory scores

stress-ng raw scores

stress-ng relative multicore performance

Static web server

Redis

Alternatives

Servers of the Same Family

Similar Servers

x1e.4xlarge FAQs

What is x1e.4xlarge?

What are the specs of the x1e.4xlarge server?

How fast is the x1e.4xlarge server?

How much does the x1e.4xlarge server cost?

Who is the provider of the x1e.4xlarge server?

Where is the x1e.4xlarge server available?

Are there any other sized servers in the x1e server family?

What other servers offer similar performance to x1e.4xlarge?

x1e.4xlarge by Amazon Web Services

Specifications

Server Details

Availability

Economics

Average Price per Region

Prices per Zone

Lowest Prices

Performance

Memory bandwidth

Compression

OpenSSL

Geekbench Single-Core

Geekbench Multi-Core

Passmark CPU scores

Passmark Memory scores

stress-ng raw scores

stress-ng relative multicore performance

Static web server

Redis

Alternatives

Servers of the Same Family

Similar Servers

x1e.4xlarge FAQs

What is x1e.4xlarge?

What are the specs of the x1e.4xlarge server?

How fast is the x1e.4xlarge server?

How much does the x1e.4xlarge server cost?

Who is the provider of the x1e.4xlarge server?

Where is the x1e.4xlarge server available?

Are there any other sized servers in the x1e server family?

What other servers offer similar performance to x1e.4xlarge?

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