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ecs.u1-c1m8.2xlarge by Alibaba Cloud

ecs.u1-c1m8.2xlarge is a ecs.u1 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. The pricing starts at 0.0255 USD per hour.
8 vCPU
64 GiB Memory
Spare SCore
7715
(All-cores)
1886
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.u1-c1m8.2xlarge
Description
ecs.u1 family (8 vCPUs, 64 GiB RAM, 0 GB storage)
Family
ecs.u1
Hw Virt
Status
active
Observed At
2026-08-05T23:28:05.467452

Availability

REGION / IDSPOTONDEMAND
Heyuan (CN) / cn-heyuan
0.0255 USD/h 0.255 USD/h
Ulanqab (CN) / cn-wulanchabu
0.0484 USD/h 0.255 USD/h
Beijing (CN) / cn-beijing
0.0369 USD/h 0.3692 USD/h
Hangzhou (CN) / cn-hangzhou
0.0369 USD/h 0.3692 USD/h
Qingdao (CN) / cn-qingdao
0.0535 USD/h 0.3692 USD/h
Shenzhen (CN) / cn-shenzhen
0.0369 USD/h 0.3692 USD/h
Guangzhou (CN) / cn-guangzhou
0.0554 USD/h 0.3692 USD/h
Shanghai (CN) / cn-shanghai
0.0554 USD/h 0.3692 USD/h
Chengdu (CN) / cn-chengdu
- 0.3692 USD/h
Silicon Valley (US) / us-west-1
0.0895 USD/h 0.4477 USD/h
London (GB) / eu-west-1
0.06575 USD/h 0.5261 USD/h
Frankfurt (DE) / eu-central-1
0.0751 USD/h 0.5364 USD/h
Singapore (SG) / ap-southeast-1
0.1019 USD/h 0.5364 USD/h
Hong Kong (HK) / cn-hongkong
0.0595 USD/h 0.595 USD/h

Processor

vCPUs
8
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
8
CPU Speed
2.5 GHz
CPU Architecture
x86_64
CPU Manufacturer
Intel
CPU Family
Xeon
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
1 MiB
CPU L2 Cache Total
4 MiB
CPU L3 Cache
33 MiB
CPU L3 Cache Total
33 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, cpuid_fault, pti, fsgsbase, tsc_adjust, bmi1, avx2, smep, bmi2, erms, invpcid, avx512f, avx512dq, rdseed, adx, smap, clflushopt, clwb, avx512cd, avx512bw, avx512vl, xsaveopt, xsavec, xgetbv1, xsaves, arat
Ecpus
4.1
Scalability
51.25

System Resources and Accelerators

MEMORY
Memory Amount
64 GiB
Memory Amount Actual
64 GiB
GPU
GPU Count
0
GPU Memory Min
0 MiB
GPU Memory Total
0 MiB
GPUs
    STORAGE
    Storage Size
    0 GB
    Storages
      NETWORK
      Network Speed Baseline
      2.5 Gbps
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      0 GB/month
      IPv4
      0

      CPU and System Topology

      Server Description

      An x86_64 virtual server featuring a high memory-to-core ratio, optimized for database operations and memory-intensive enterprise workloads.

      Memory OptimizedGeneral Purpose

      Alibaba Cloud ecs.u1-c1m8.2xlarge is an x86_64 virtual server running on a KVM hypervisor, featuring 8 dedicated Intel Xeon physical cores at 2.5 GHz and 64.0 GB of RAM. This configuration yields a high memory-to-vCPU ratio of 8.0 GB per core, making it appropriate for memory-intensive workloads. The instance does not include local storage or GPU hardware, and provides a baseline network bandwidth of 2 Gbps. Performance benchmarks generally fall within the average tier, with a PassMark CPU score of 10405.69 and a Redis SET throughput of 7.81 million operations per second. However, it exhibits poor performance on medium-sized LLM inference tasks. This server is best utilized for database operations, caching layers, and memory-optimized enterprise applications that do not require local NVMe storage or specialized accelerators.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.525Score
      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
      Raw Reference Normalized Target Actual
      Redis RPS (pipeline=1, SET) 827,788 ops/sec 1,910,660 ops/sec 0.433 50.00% 50.00% -34.20%
      Redis RPS (pipeline=16, SET) 5,039,162 ops/sec 11,608,287 ops/sec 0.434 20.00% 20.00% -15.40%
      PassMark Memory Mark (composite) 2,529 2,416 1.05 10.00% 10.00% +0.49%
      Memory bandwidth (read, 16 MB ~ L3) 57,368 MB/sec 107,896 MB/sec 0.532 10.00% 10.00% -6.12%
      PassMark single-thread CPU 2,353 Mops/s 2,364 Mops/s 0.995 10.00% 10.00% -0.05%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 1,417

      Geekbench Multi-Core

      Score: 5,299

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 10406
      Compression
      		 124388
      Encryption
      		 4229
      Extended Instructions
      		 6931
      Floating Point Maths
      		 17129
      Integer Maths
      		 33453
      Physics
      		 1325
      Prime Numbers
      		 73
      Single Threaded
      		 2353
      String Sorting
      		 17450

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 2529
      Database Operations
      		 4028
      Memory Latency
      		 54
      Memory Read Cached
      		 23929
      Memory Read Uncached
      		 11771
      Memory Write
      		 10926

      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

      INSTANCEvCPUsMEMORYGPUs
      ecs.u1-c1m1.large 22 GiB0
      ecs.u1-c1m2.large 24 GiB0
      ecs.u1-c1m4.large 28 GiB0
      ecs.u1-c1m8.large 216 GiB0
      ecs.u1-c1m1.xlarge 44 GiB0
      ecs.u1-c1m2.xlarge 48 GiB0
      ecs.u1-c1m4.xlarge 416 GiB0

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      ecs.u1-c1m8.2xlarge FAQs