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ecs.e4.2xlarge by Alibaba Cloud

ecs.e4.2xlarge is a ecs.e4 family (8 vCPUs, 64 GiB RAM, 0 GB storage) server offered by Alibaba Cloud with 8 vCPUs, 64 GiB of memory and 0 GB of storage.

8 vCPU

64 GiB Memory

Spare SCore

7,604
(All-cores)

951
(Single-core)

Specifications

Server Metadata

Vendor ID	alicloud
Name	ecs.e4.2xlarge
Description	ecs.e4 family (8 vCPUs, 64 GiB RAM, 0 GB storage)
Family	ecs.e4
Hw Virt
Status	active
Observed At	2026-10-29T09:57:34.504693

Availability

REGION / ID	SPOT	ONDEMAND

Processor

vCPUs	8
Hypervisor	KVM
CPU Allocation	Shared
CPU Cores	4
CPU Speed	2.5 GHz
CPU Architecture	x86_64
CPU Manufacturer	Intel
CPU Family	Xeon
CPU Model	E5-2682 v4
CPU L1D Cache	32 KiB
CPU L1D Cache Total	128 KiB
CPU L1I Cache	32 KiB
CPU L1I Cache Total	128 KiB
CPU L2 Cache	256 KiB
CPU L2 Cache Total	1 MiB
CPU L3 Cache	40 MiB
CPU L3 Cache Total	40 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, ss, ht, syscall, nx, pdpe1gb, rdtscp, lm, constant_tsc, rep_good, nopl, xtopology, nonstop_tsc, cpuid, 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, 3dnowprefetch, pti, ibrs, ibpb, stibp, fsgsbase, tsc_adjust, bmi1, hle, avx2, smep, bmi2, erms, invpcid, rtm, rdseed, adx, smap, xsaveopt, arat
Ecpus	8
Scalability	100

System Resources and Accelerators

MEMORY
Memory Amount	64 GiB
Memory Amount Actual	64 GiB

ACCELERATORS
Accelerator Count	0
Accelerator Memory Min	0 MiB
Accelerator Memory Total	0 MiB
Accelerators

STORAGE
Storage Size	0 GB
Storages

NETWORK
Network Speed Baseline	1.2 Gbps
Inbound Traffic	0 GB/month
Outbound Traffic	0 GB/month
IPv4	0

CPU and System Topology

Server Description

A memory-optimized virtual server featuring a high memory-to-core ratio, tailored for caching, databases, and moderate compute workloads.

Memory OptimizedGeneral Purpose

Alibaba Cloud ecs.e4.2xlarge is a memory-optimized virtual server featuring 8 vCPUs and 64.0 GB of RAM, running on an Intel Xeon E5-2682 v4 processor at 2.5 GHz. Utilizing the KVM hypervisor on an x86_64 architecture, this instance provides a high 8.0 GB of memory per core with a shared CPU allocation. It lacks local storage and dedicated GPUs, relying on a 1 Gbps baseline network. Benchmarks indicate average multi-core and memory bandwidth performance, contrasted by weak single-core processing and compression speeds. The instance excels in memory-bound scenarios, showing strong Redis SET throughput of 9.13 million operations per second and static web serving at 8.41 GB/sec. It is highly suitable for memory-intensive, compute-moderate workloads such as caching, database hosting, and web serving.

Economics

Average Price per Region

Prices per Zone

Lowest Prices

Performance

Workload Profiles

0.53Score

Precomputed compound score for Cache Intensive workloads. A weighted average (geometric mean) of benchmark scores compared to their medians: score = ∏ (x_i / m_i)^(w_i / Σw). The score of 1.0 represents a synthetic baseline server with the median performance of each component benchmark; 0.5 means roughly half the performance; and 2.0 means twice the performance of that reference profile. Component weights: 50% Redis RPS (pipeline=1, SET), 20% Redis RPS (pipeline=16, SET), 10% PassMark Memory Mark (composite), 10% Memory bandwidth (read, 16 MB ~ L3), 10% PassMark single-thread CPU. Rationale for component selection: In-memory key-value store workload, mixing direct Redis performance metrics with memory speed and latency benchmarks, and single-core CPU performance profiles.

Component	Score					Weight		Impact
Component	Raw		Reference		Normalized	Target	Actual	Impact
Redis RPS (pipeline=1, SET)	916,780	ops/sec	1,919,289	ops/sec	0.48	50.00%	50.00%	-31.00%
Redis RPS (pipeline=16, SET)	6,406,269	ops/sec	11,728,058	ops/sec	0.53	20.00%	20.00%	-12.00%
PassMark Memory Mark (composite)	1,795		2,416		0.75	10.00%	10.00%	-2.80%
Memory bandwidth (read, 16 MB ~ L3)	49,392	MB/sec	108,466	MB/sec	0.45	10.00%	10.00%	-7.70%
PassMark single-thread CPU	1,805	Mops/s	2,365	Mops/s	0.75	10.00%	10.00%	-2.80%

Memory Bandwidth

Compression

OpenSSL

Passmark CPU Scores

BENCHMARK	SCORE
Mark	8,525
Compression	130,705
Encryption	2,317
Extended Instructions	7,034
Floating Point Maths	18,475
Integer Maths	24,327
Physics	1,017
Prime Numbers	61
Single Threaded	1,805
String Sorting	17,648

Passmark Memory Scores

BENCHMARK	SCORE
Memory Mark	1,795
Database Operations	2,199
Memory Latency	69
Memory Read Cached	20,782
Memory Read Uncached	6,940
Memory Write	5,914

Stress-ng Stressors

CPU integer	Single	Multi	Scaling
atomic	219.94	215.64	0.98×
bitops	100,691	703,334	6.99×
branch	131,545	984,205	7.48×
funccall	455.43	3,564	7.83×
funcret	9,258	73,553	7.94×
hash	108,495	806,440	7.43×
intmath	18,246	144,353	7.91×
nop	154,471	1,003,086	6.49×
prime	264,728	1,851,809	7.00×
rotate	83,651	655,844	7.84×
str	576,800	4,595,098	7.97×
wcs	353,731	3,040,538	8.60×

Cryptography	Single	Multi	Scaling
crypt	1,979	11,705	5.91×

Compression	Single	Multi	Scaling
jpeg	426.76	3,411	7.99×
zlib	50.05	359.99	7.19×

Hypervisor	Single	Multi	Scaling
clock	22,579	154,624	6.85×
clone	399.2	1,837	4.60×
context	2,657	20,013	7.53×
cpu-sched	63.1	506.66	8.03×
eventfd	26,320	632,242	24.02×
fault	7,730	53,152	6.88×
fork	3,298	27,487	8.33×
getrandom	36,905	239,192	6.48×
hrtimers	143,780	881,105	6.13×
mprotect	888,929	2,014,191	2.27×
mtx	12,559,901	323,843,060	25.78×
munmap	2,223	16,754	7.54×
null	309,248	2,454,320	7.94×
pipe	531,834	3,125,720	5.88×
priv-instr	518,355	3,750,993	7.24×
resched	2,725,026	915,481	0.34×
switch	73,494	1,758,024	23.92×
timermix	206,244	1,623,986	7.87×
tlb-shootdown	9,678	24,592	2.54×
tsc	871,132	6,940,806	7.97×
usersyscall	375,293	2,874,651	7.66×
vdso	74,826,395	593,744,167	7.93×
vfork	17,436	103,219	5.92×
x86syscall	3,668,112	29,383,384	8.01×
yield	6,954,680	6,950,487	1.00×
zero	1,903,827	14,980,827	7.87×

CPU float/SIMD	Single	Multi	Scaling
eigen	11,572	97,675	8.44×
expmath	2,189	15,999	7.31×
fma	484,332	3,837,763	7.92×
fp	107.62	788.88	7.33×
fractal	4.4	31.6	7.18×
hyperbolic	2,392	19,555	8.17×
logmath	3,898	30,890	7.92×
matrix	3,039	24,008	7.90×
matrix-3d	549.03	2,405	4.38×
monte-carlo	139.89	1,117	7.99×
mpfr	982.12	7,673	7.81×
powmath	1,335	10,578	7.92×
trig	1,556	12,412	7.98×
veccmp	11,931	93,110	7.80×
vecfp	721.66	5,724	7.93×
vecmath	1,872	14,993	8.01×
vecshuf	470.48	3,761	7.99×
vecwide	19,516	154,841	7.93×

Algorithms	Single	Multi	Scaling
bitonicsort	6	42	7.00×
bsearch	194.43	1,544	7.94×
bubblesort	0.6	4.8	8.00×
fibsearch	231.94	1,823	7.86×
heapsort	6.8	53.8	7.91×
hsearch	3,417	29,488	8.63×
insertionsort	6.6	52.8	8.00×
malloc	1,538,336	16,274,894	10.58×
mcontend	108.7	1,864	17.15×
mergesort	22	160.2	7.28×
qsort	15.2	121.8	8.01×
skiplist	4,997	39,667	7.94×
tree	1	6.6	6.60×

Memory	Single	Multi	Scaling
cache	165,722	235,490	1.42×
cachehammer	416,974	3,130,734	7.51×
cacheline	27.28	188.53	6.91×
l1cache	164.47	1,308	7.95×
memcpy	362.78	2,891	7.97×
memrate	0.98	6.21	6.34×
memthrash	139.23	297.83	2.14×
ptr-chase	17,928,581	71,761,613	4.00×
spinmem	203.99	337.96	1.66×
stream	30.31	1,151	37.97×
vm	52,738	292,012	5.54×

Stress-ng Raw Scores

Stress-ng Relative Multicore Performance

LLM Inference Speed for Prompt Processing

LLM Inference Speed for Text Generation

Static Web Server

Redis

Alternatives

Servers of the Same Family

INSTANCE	vCPUs	MEMORY
ecs.e4.small	1	8 GiB
ecs.e4.large	2	16 GiB
ecs.e4.xlarge	4	32 GiB
ecs.e4.4xlarge	16	128 GiB

Similar Servers

INSTANCE	VENDOR	vCPUs	MEMORY	Accelerators

This feature is only available after registration!
ecs.e4.2xlarge by Alibaba Cloud

Specifications

Server Metadata

Availability

Processor

System Resources and Accelerators

CPU and System Topology

Server Description

Economics

Average Price per Region

Prices per Zone

Lowest Prices

Performance

Workload Profiles

Memory Bandwidth

Compression

OpenSSL

Passmark CPU Scores

Passmark Memory Scores

Stress-ng Stressors

Stress-ng Raw Scores

Stress-ng Relative Multicore Performance

LLM Inference Speed for Prompt Processing

LLM Inference Speed for Text Generation

Static Web Server

Redis

Alternatives

Servers of the Same Family

Similar Servers

ecs.e4.2xlarge FAQs

What is ecs.e4.2xlarge?

What are the specs of the ecs.e4.2xlarge server?

How fast is the ecs.e4.2xlarge server?

Who is the provider of the ecs.e4.2xlarge server?

Are there any other sized servers in the ecs.e4 server family?

What other servers offer similar performance to ecs.e4.2xlarge?

This feature is only available after registration! ecs.e4.2xlarge by Alibaba Cloud

Specifications

Server Metadata

Availability

Processor

System Resources and Accelerators

CPU and System Topology

Server Description

Economics

Average Price per Region

Prices per Zone

Lowest Prices

Performance

Workload Profiles

Memory Bandwidth

Compression

OpenSSL

Passmark CPU Scores

Passmark Memory Scores

Stress-ng Stressors

Stress-ng Raw Scores

Stress-ng Relative Multicore Performance

LLM Inference Speed for Prompt Processing

LLM Inference Speed for Text Generation

Static Web Server

Redis

Alternatives

Servers of the Same Family

Similar Servers

ecs.e4.2xlarge FAQs

What is ecs.e4.2xlarge?

What are the specs of the ecs.e4.2xlarge server?

How fast is the ecs.e4.2xlarge server?

Who is the provider of the ecs.e4.2xlarge server?

Are there any other sized servers in the ecs.e4 server family?

What other servers offer similar performance to ecs.e4.2xlarge?

This feature is only available after registration!
ecs.e4.2xlarge by Alibaba Cloud