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ecs.r7.8xlarge by Alibaba Cloud

ecs.r7.8xlarge is a ecs.r7 family (32 vCPUs, 256 GiB RAM, 0 GB storage) server offered by Alibaba Cloud with 32 vCPUs, 256 GiB of memory and 0 GB of storage. The pricing starts at 0.3276 USD per hour.
32 vCPU
256 GiB Memory
Spare SCore
30984
(All-cores)
1865
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.r7.8xlarge
Description
ecs.r7 family (32 vCPUs, 256 GiB RAM, 0 GB storage)
Family
ecs.r7
Hw Virt
Status
active
Observed At
2026-07-29T14:06:24.968986

Availability

REGION / IDSPOTONDEMAND
Ulanqab (CN) / cn-wulanchabu
0.4034 USD/h 1.5517 USD/h
Shenzhen (CN) / cn-shenzhen
0.3276 USD/h 1.7241 USD/h
Guangzhou (CN) / cn-guangzhou
0.3793 USD/h 1.7241 USD/h
Hangzhou (CN) / cn-hangzhou
- 1.7241 USD/h
Shanghai (CN) / cn-shanghai
- 1.7241 USD/h
Fuzhou (CN) / cn-fuzhou
- 1.7244 USD/h
Tokyo (JP) / ap-northeast-1
0.4159 USD/h 2.189 USD/h
Frankfurt (DE) / eu-central-1
0.4925 USD/h 2.189 USD/h
Hong Kong (HK) / cn-hongkong
0.5291 USD/h 2.4048 USD/h

Processor

vCPUs
32
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
32
CPU Speed
2.7 GHz
CPU Architecture
x86_64
CPU Manufacturer
Intel
CPU Family
Xeon
CPU Model
8369B
CPU L1D Cache
48 KiB
CPU L1D Cache Total
768 KiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
512 KiB
CPU L2 Cache
1 MiB
CPU L2 Cache Total
20 MiB
CPU L3 Cache
48 MiB
CPU L3 Cache Total
48 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, aperfmperf, tsc_known_freq, pni, pclmulqdq, monitor, ssse3, fma, cx16, pcid, sse4_1, sse4_2, x2apic, movbe, popcnt, aes, xsave, avx, f16c, rdrand, hypervisor, lahf_lm, abm, 3dnowprefetch, cpuid_fault, ibrs_enhanced, fsgsbase, tsc_adjust, bmi1, avx2, smep, bmi2, erms, invpcid, avx512f, avx512dq, rdseed, adx, smap, avx512ifma, clflushopt, clwb, avx512cd, sha_ni, avx512bw, avx512vl, xsaveopt, xsavec, xgetbv1, xsaves, wbnoinvd, arat, avx512vbmi, pku, ospke, avx512_vbmi2, gfni, vaes, vpclmulqdq, avx512_vnni, avx512_bitalg, avx512_vpopcntdq, rdpid, fsrm, arch_capabilities
Ecpus
16.6
Scalability
51.88

System Resources and Accelerators

MEMORY
Memory Amount
256 GiB
Memory Amount Actual
256 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
      16 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 thirty-two dedicated cores and two hundred fifty-six gigabytes of RAM for memory-intensive enterprise workloads.

      Memory OptimizedGeneral Purpose

      Alibaba Cloud ecs.r7.8xlarge is a memory-optimized instance featuring 32 dedicated physical cores powered by an Intel Xeon 8369B processor running at 2.7 GHz. Built on the x86_64 architecture and managed via the KVM hypervisor, it delivers 256.0 GB of RAM, establishing a high memory-to-core ratio of 8.0 GB per core. The instance lacks local storage and GPUs, but provides a baseline network bandwidth of 16 Gbps. Benchmark results place its compute and memory capabilities in the average tier, with a stress-ng multi-core score of 30983.52 and a Redis SET throughput of 30.13 million operations per second. It shows strong performance in text generation for small LLM models at 282.15 tokens per second. This profile makes the instance suitable for memory-heavy workloads such as database operations, caching layers, and in-memory data processing where local storage is not a primary requirement.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      1.71Score
      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) 4,144,007 ops/sec 1,896,415 ops/sec 2.19 50.00% 50.00% +48.00%
      Redis RPS (pipeline=16, SET) 20,054,063 ops/sec 11,539,523 ops/sec 1.74 20.00% 20.00% +11.70%
      PassMark Memory Mark (composite) 2,560 2,411 1.06 10.00% 10.00% +0.58%
      Memory bandwidth (read, 16 MB ~ L3) 147,126 MB/sec 107,368 MB/sec 1.37 10.00% 10.00% +3.20%
      PassMark single-thread CPU 2,343 Mops/s 2,363 Mops/s 0.991 10.00% 10.00% -0.09%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 1,532

      Geekbench Multi-Core

      Score: 13,384

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 35326
      Compression
      		 465255
      Encryption
      		 28850
      Extended Instructions
      		 26733
      Floating Point Maths
      		 68563
      Integer Maths
      		 134074
      Physics
      		 2735
      Prime Numbers
      		 163
      Single Threaded
      		 2343
      String Sorting
      		 66926

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 2560
      Database Operations
      		 13456
      Memory Latency
      		 59
      Memory Read Cached
      		 24092
      Memory Read Uncached
      		 11134
      Memory Write
      		 9845

      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.r7.large 216 GiB0
      ecs.r7.xlarge 432 GiB0
      ecs.r7.2xlarge 864 GiB0
      ecs.r7.3xlarge 1296 GiB0
      ecs.r7.4xlarge 16128 GiB0
      ecs.r7.6xlarge 24192 GiB0
      ecs.r7.16xlarge 64512 GiB0

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      ecs.r7.8xlarge FAQs