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ecs.u1-c1m8.3xlarge by Alibaba Cloud

ecs.u1-c1m8.3xlarge is a ecs.u1 family (12 vCPUs, 96 GiB RAM, 0 GB storage) server offered by Alibaba Cloud with 12 vCPUs, 96 GiB of memory and 0 GB of storage. The pricing starts at 0.0344 USD per hour.
12 vCPU
96 GiB Memory
Spare SCore
10501
(All-cores)
1314
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.u1-c1m8.3xlarge
Description
ecs.u1 family (12 vCPUs, 96 GiB RAM, 0 GB storage)
Family
ecs.u1
Hw Virt
Status
active
Observed At
2026-08-04T10:47:32.905575

Availability

REGION / IDSPOTONDEMAND
Heyuan (CN) / cn-heyuan
0.0344 USD/h 0.3824 USD/h
Ulanqab (CN) / cn-wulanchabu
0.0535 USD/h 0.3824 USD/h
Chengdu (CN) / cn-chengdu
0.0554 USD/h 0.5538 USD/h
Qingdao (CN) / cn-qingdao
0.0803 USD/h 0.5538 USD/h
Shanghai (CN) / cn-shanghai
0.0775 USD/h 0.5538 USD/h
Beijing (CN) / cn-beijing
- 0.5538 USD/h
Guangzhou (CN) / cn-guangzhou
- 0.5538 USD/h
Hangzhou (CN) / cn-hangzhou
- 0.5538 USD/h
Shenzhen (CN) / cn-shenzhen
- 0.5538 USD/h
Silicon Valley (US) / us-west-1
0.11065 USD/h 0.6706 USD/h
London (GB) / eu-west-1
0.0987 USD/h 0.7896 USD/h
Frankfurt (DE) / eu-central-1
0.09265 USD/h 0.8056 USD/h
Singapore (SG) / ap-southeast-1
0.1933 USD/h 0.8056 USD/h
Hong Kong (HK) / cn-hongkong
0.0892 USD/h 0.8916 USD/h

Processor

vCPUs
12
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
12
CPU Speed
2.5 GHz
CPU Architecture
x86_64
CPU Manufacturer
Intel
CPU Family
Xeon
CPU L1D Cache
32 KiB
CPU L1D Cache Total
192 KiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
192 KiB
CPU L2 Cache
1 MiB
CPU L2 Cache Total
6 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, 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
8
Scalability
66.67

System Resources and Accelerators

MEMORY
Memory Amount
96 GiB
Memory Amount Actual
96 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
      4 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 twelve dedicated cores and ninety-six gigabytes of RAM, optimized for database and caching workloads.

      Memory OptimizedGeneral Purpose

      Alibaba Cloud ecs.u1-c1m8.3xlarge is a memory-optimized instance featuring 12 dedicated Intel Xeon cores on the x86_64 architecture, running at 2.5 GHz with 96.0 GB of RAM. Lacking local storage and GPUs, it relies on a 4 Gbps baseline network bandwidth. Benchmark data reveals a distinct performance tradeoff: single-core metrics are weak, placing in the bottom 25%, whereas multi-core and memory bandwidth benchmarks consistently rank in the average middle 50% tier. This resource profile makes the instance highly suitable for memory-intensive workloads such as database operations, Redis caching, and static web serving, where its high memory-to-vCPU ratio provides qualitative cost efficiency. However, it is poorly suited for compute-heavy single-threaded tasks or medium-to-large language model inference.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.642Score
      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) 1,103,083 ops/sec 1,910,660 ops/sec 0.577 50.00% 50.00% -24.00%
      Redis RPS (pipeline=16, SET) 6,536,164 ops/sec 11,608,287 ops/sec 0.563 20.00% 20.00% -10.90%
      PassMark Memory Mark (composite) 2,404 2,416 0.995 10.00% 10.00% -0.05%
      Memory bandwidth (read, 16 MB ~ L3) 76,995 MB/sec 107,896 MB/sec 0.714 10.00% 10.00% -3.31%
      PassMark single-thread CPU 1,961 Mops/s 2,364 Mops/s 0.83 10.00% 10.00% -1.85%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 1,085

      Geekbench Multi-Core

      Score: 5,612

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 11917
      Compression
      		 161762
      Encryption
      		 4861
      Extended Instructions
      		 9731
      Floating Point Maths
      		 18836
      Integer Maths
      		 35120
      Physics
      		 1273
      Prime Numbers
      		 73
      Single Threaded
      		 1961
      String Sorting
      		 21563

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 2404
      Database Operations
      		 4238
      Memory Latency
      		 55
      Memory Read Cached
      		 22806
      Memory Read Uncached
      		 9705
      Memory Write
      		 9601

      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-c1m8.3xlarge FAQs