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ecs.r7.6xlarge by Alibaba Cloud

ecs.r7.6xlarge is a ecs.r7 family (24 vCPUs, 192 GiB RAM, 0 GB storage) server offered by Alibaba Cloud with 24 vCPUs, 192 GiB of memory and 0 GB of storage. The pricing starts at 0.2457 USD per hour.
24 vCPU
192 GiB Memory
Spare SCore
23251
(All-cores)
1844
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.r7.6xlarge
Description
ecs.r7 family (24 vCPUs, 192 GiB RAM, 0 GB storage)
Family
ecs.r7
Hw Virt
Status
active
Observed At
2026-07-25T09:27:31.381444

Availability

REGION / IDSPOTONDEMAND
Ulanqab (CN) / cn-wulanchabu
- 1.1638 USD/h
Shenzhen (CN) / cn-shenzhen
0.2457 USD/h 1.2931 USD/h
Guangzhou (CN) / cn-guangzhou
0.2845 USD/h 1.2931 USD/h
Hangzhou (CN) / cn-hangzhou
- 1.2931 USD/h
Shanghai (CN) / cn-shanghai
- 1.2931 USD/h
Fuzhou (CN) / cn-fuzhou
- 1.2933 USD/h
Virginia (US) / us-east-1
0.2994 USD/h 1.361 USD/h
Tokyo (JP) / ap-northeast-1
0.3612 USD/h 1.642 USD/h
Frankfurt (DE) / eu-central-1
0.3612 USD/h 1.642 USD/h
Hong Kong (HK) / cn-hongkong
0.4329 USD/h 1.8036 USD/h

Processor

vCPUs
24
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
24
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
576 KiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
384 KiB
CPU L2 Cache
1 MiB
CPU L2 Cache Total
15 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
12.6
Scalability
52.5

System Resources and Accelerators

MEMORY
Memory Amount
192 GiB
Memory Amount Actual
192 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
      12 Gbps
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      0 GB/month
      IPv4
      0

      CPU and System Topology

      Server Description

      A dedicated memory-optimized instance featuring high RAM-to-core density and stable network performance for enterprise caching and database workloads.

      Memory OptimizedGeneral Purpose

      Alibaba Cloud ecs.r7.6xlarge is a memory-optimized instance featuring 24 dedicated x86_64 vCPUs and 192.0 GB of RAM, delivering a high 8.0 GB of memory per core. Powered by an Intel Xeon 8369B processor running at 2.7 GHz, this KVM-based instance provides dedicated physical cores with single-thread execution. It lacks local storage and GPU hardware, relying on a 12 Gbps baseline network bandwidth. Benchmark results place the instance in the average tier for general compute and memory bandwidth, though it exhibits strong performance in small-model LLM text generation at 283.7 tokens per second. With a PassMark database score of 11538.47 and Redis throughput of 23.5 million operations per second, the ecs.r7.6xlarge is highly suited for memory-intensive workloads, including in-memory caching, database hosting, and software compilation.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      1.43Score
      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) 3,199,132 ops/sec 1,896,415 ops/sec 1.69 50.00% 50.00% +30.00%
      Redis RPS (pipeline=16, SET) 15,879,517 ops/sec 11,539,523 ops/sec 1.38 20.00% 20.00% +6.65%
      PassMark Memory Mark (composite) 2,698 2,411 1.12 10.00% 10.00% +1.14%
      Memory bandwidth (read, 16 MB ~ L3) 133,224 MB/sec 107,368 MB/sec 1.24 10.00% 10.00% +2.17%
      PassMark single-thread CPU 2,353 Mops/s 2,363 Mops/s 0.996 10.00% 10.00% -0.04%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 1,534

      Geekbench Multi-Core

      Score: 11,384

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 29229
      Compression
      		 370286
      Encryption
      		 21862
      Extended Instructions
      		 21171
      Floating Point Maths
      		 51554
      Integer Maths
      		 100721
      Physics
      		 2780
      Prime Numbers
      		 152
      Single Threaded
      		 2353
      String Sorting
      		 51686

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 2698
      Database Operations
      		 11538
      Memory Latency
      		 55
      Memory Read Cached
      		 24230
      Memory Read Uncached
      		 11947
      Memory Write
      		 10992

      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.r7.8xlarge 32256 GiB0
      ecs.r7.16xlarge 64512 GiB0

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      ecs.r7.6xlarge FAQs