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ecs.u1-c1m8.4xlarge by Alibaba Cloud

ecs.u1-c1m8.4xlarge is a ecs.u1 family (16 vCPUs, 128 GiB RAM, 0 GB storage) server offered by Alibaba Cloud with 16 vCPUs, 128 GiB of memory and 0 GB of storage. The pricing starts at 0.0459 USD per hour.
16 vCPU
128 GiB Memory
Spare SCore
15445
(All-cores)
1852
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.u1-c1m8.4xlarge
Description
ecs.u1 family (16 vCPUs, 128 GiB RAM, 0 GB storage)
Family
ecs.u1
Hw Virt
Status
active
Observed At
2026-08-03T12:45:04.073222

Availability

REGION / IDSPOTONDEMAND
Heyuan (CN) / cn-heyuan
0.0459 USD/h 0.5099 USD/h
Ulanqab (CN) / cn-wulanchabu
- 0.5099 USD/h
Beijing (CN) / cn-beijing
0.0738 USD/h 0.7384 USD/h
Chengdu (CN) / cn-chengdu
0.0738 USD/h 0.7384 USD/h
Qingdao (CN) / cn-qingdao
0.12555 USD/h 0.7384 USD/h
Hangzhou (CN) / cn-hangzhou
0.1403 USD/h 0.7384 USD/h
Guangzhou (CN) / cn-guangzhou
- 0.7384 USD/h
Shanghai (CN) / cn-shanghai
- 0.7384 USD/h
Shenzhen (CN) / cn-shenzhen
- 0.7384 USD/h
Silicon Valley (US) / us-west-1
0.1699 USD/h 0.8944 USD/h
London (GB) / eu-west-1
0.1736 USD/h 1.0521 USD/h
Frankfurt (DE) / eu-central-1
0.1503 USD/h 1.0738 USD/h
Singapore (SG) / ap-southeast-1
- 1.0738 USD/h

Processor

vCPUs
16
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
16
CPU Speed
2.5 GHz
CPU Architecture
x86_64
CPU Manufacturer
Intel
CPU Family
Xeon
CPU L1D Cache
32 KiB
CPU L1D Cache Total
256 KiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
256 KiB
CPU L2 Cache
1 MiB
CPU L2 Cache Total
8 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
8.3
Scalability
51.88

System Resources and Accelerators

MEMORY
Memory Amount
128 GiB
Memory Amount Actual
128 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
      5 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 sixteen dedicated Intel Xeon cores and a high memory-to-core ratio for database and caching workloads.

      Memory OptimizedGeneral Purpose

      Alibaba Cloud ecs.u1-c1m8.4xlarge is a memory-optimized instance featuring 16 dedicated physical cores on an Intel Xeon x86_64 processor running at 2.5 GHz. Equipped with 128.0 GB of RAM, it offers a high 8.0 GB per core memory allocation, though it lacks local storage and GPU accelerators. Built on the KVM hypervisor, the instance delivers a baseline network bandwidth of 5 Gbps. Benchmark results indicate balanced performance, with a Geekbench multi-core score of 8709.0 and a Passmark CPU score of 19492.46. Memory bandwidth reaches 847.52 GB/sec for cached small blocks, supporting high-throughput operations. The instance is well-suited for memory-intensive workloads, including database hosting, Redis caching, and web serving, offering a cost-efficient profile for applications requiring substantial memory capacity without the overhead of local NVMe storage.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.909Score
      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) 1,648,793 ops/sec 1,910,660 ops/sec 0.863 50.00% 50.00% -7.10%
      Redis RPS (pipeline=16, SET) 10,056,653 ops/sec 11,608,287 ops/sec 0.866 20.00% 20.00% -2.84%
      PassMark Memory Mark (composite) 2,661 2,416 1.1 10.00% 10.00% +0.96%
      Memory bandwidth (read, 16 MB ~ L3) 103,765 MB/sec 107,896 MB/sec 0.962 10.00% 10.00% -0.39%
      PassMark single-thread CPU 2,395 Mops/s 2,364 Mops/s 1.01 10.00% 10.00% +0.10%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 1,434

      Geekbench Multi-Core

      Score: 8,709

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 19492
      Compression
      		 245744
      Encryption
      		 8465
      Extended Instructions
      		 14038
      Floating Point Maths
      		 34285
      Integer Maths
      		 66964
      Physics
      		 2235
      Prime Numbers
      		 131
      Single Threaded
      		 2395
      String Sorting
      		 34819

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 2661
      Database Operations
      		 7964
      Memory Latency
      		 53
      Memory Read Cached
      		 23840
      Memory Read Uncached
      		 11810
      Memory Write
      		 11030

      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-c1m8.4xlarge FAQs