logo

ecs.r7.3xlarge by Alibaba Cloud

ecs.r7.3xlarge is a ecs.r7 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 0.1228 USD per hour.
12 vCPU
96 GiB Memory
Spare SCore
11630
(All-cores)
1868
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.r7.3xlarge
Description
ecs.r7 family (12 vCPUs, 96 GiB RAM, 0 GB storage)
Family
ecs.r7
Hw Virt
Status
active
Observed At
2026-07-25T09:27:31.381576

Availability

REGION / IDSPOTONDEMAND
Heyuan (CN) / cn-heyuan
0.1269 USD/h 0.577 USD/h
Ulanqab (CN) / cn-wulanchabu
0.128 USD/h 0.5819 USD/h
Hangzhou (CN) / cn-hangzhou
0.1228 USD/h 0.6465 USD/h
Guangzhou (CN) / cn-guangzhou
0.1422 USD/h 0.6465 USD/h
Shanghai (CN) / cn-shanghai
- 0.6465 USD/h
Shenzhen (CN) / cn-shenzhen
- 0.6465 USD/h
Fuzhou (CN) / cn-fuzhou
- 0.6466 USD/h
Virginia (US) / us-east-1
0.1496 USD/h 0.68 USD/h
Tokyo (JP) / ap-northeast-1
0.1806 USD/h 0.821 USD/h
Frankfurt (DE) / eu-central-1
0.1806 USD/h 0.821 USD/h
Hong Kong (HK) / cn-hongkong
- 0.9018 USD/h

Processor

vCPUs
12
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
12
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
288 KiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
192 KiB
CPU L2 Cache
1 MiB
CPU L2 Cache Total
8 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
6.2
Scalability
51.67

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
      8 Gbps
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      0 GB/month
      IPv4
      0

      CPU and System Topology

      Server Description

      A memory-optimized x86_64 virtual server featuring a high RAM-to-vCPU ratio for database and caching workloads.

      Memory OptimizedGeneral Purpose

      Alibaba Cloud ecs.r7.3xlarge is a memory-optimized instance featuring 12 dedicated vCPUs on an Intel Xeon 8369B processor running at 2.7 GHz, paired with 96.0 GB of RAM. Operating on the x86_64 architecture under the KVM hypervisor, this instance provides an 8.0 GB per core memory ratio but lacks local storage and GPU accelerators. Performance benchmarks place the server in the average tier, with a Passmark CPU score of 16347.91 and a Redis throughput of 11.89 million SET operations per second. While its memory bandwidth is robust, reaching 635.68 GB/sec for cached reads, it shows weak performance in LLM inference tasks. The qualitative cost profile is favorable for memory-heavy workloads that do not require high compute scaling. It is best suited for in-memory databases, caching layers, and relational database hosting.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.771Score
      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) 1,562,158 ops/sec 1,896,415 ops/sec 0.824 50.00% 50.00% -9.23%
      Redis RPS (pipeline=16, SET) 8,343,889 ops/sec 11,539,523 ops/sec 0.723 20.00% 20.00% -6.28%
      PassMark Memory Mark (composite) 2,288 2,411 0.949 10.00% 10.00% -0.52%
      Memory bandwidth (read, 16 MB ~ L3) 42,316 MB/sec 107,368 MB/sec 0.394 10.00% 10.00% -8.89%
      PassMark single-thread CPU 2,362 Mops/s 2,363 Mops/s 1 10.00% 10.00% 0.00%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 1,548

      Geekbench Multi-Core

      Score: 7,628

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 16348
      Compression
      		 185373
      Encryption
      		 10915
      Extended Instructions
      		 10490
      Floating Point Maths
      		 25775
      Integer Maths
      		 50371
      Physics
      		 1799
      Prime Numbers
      		 107
      Single Threaded
      		 2362
      String Sorting
      		 25799

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 2288
      Database Operations
      		 5839
      Memory Latency
      		 52
      Memory Read Cached
      		 24045
      Memory Read Uncached
      		 8166
      Memory Write
      		 8322

      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.r7.4xlarge 16128 GiB0
      ecs.r7.6xlarge 24192 GiB0
      ecs.r7.8xlarge 32256 GiB0
      ecs.r7.16xlarge 64512 GiB0

      Similar Servers

      INSTANCEVENDORvCPUsMEMORYGPUs

      ecs.r7.3xlarge FAQs