ecs.r7a.16xlarge by Alibaba Cloud

ecs.r7a.16xlarge is a ecs.r7a family (64 vCPUs, 512 GiB RAM, 0 GB storage) server offered by Alibaba Cloud with 64 vCPUs, 512 GiB of memory and 0 GB of storage. The pricing starts at 0.505 USD per hour.
64 vCPU
512 GiB Memory
Spare SCore
86,393
(All-cores)
2,698
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.r7a.16xlarge
Description
ecs.r7a family (64 vCPUs, 512 GiB RAM, 0 GB storage)
Family
ecs.r7a
Hw Virt
Status
active
Observed At
2026-09-12T09:08:07.293579

Availability

REGION / IDSPOTONDEMAND
Ulanqab (CN) / cn-wulanchabu
0.5316 USD/h 2.658 USD/h
Chengdu (CN) / cn-chengdu
0.5611 USD/h 2.953 USD/h
Guangzhou (CN) / cn-guangzhou
0.5611 USD/h 2.953 USD/h
Hangzhou (CN) / cn-hangzhou
0.6497 USD/h 2.953 USD/h
Shenzhen (CN) / cn-shenzhen
0.6497 USD/h 2.953 USD/h
Beijing (CN) / cn-beijing
- 2.953 USD/h
Shanghai (CN) / cn-shanghai
- 2.953 USD/h
Virginia (US) / us-east-1
0.7166 USD/h 3.2571 USD/h
Frankfurt (DE) / eu-central-1
- 3.7536 USD/h
Jakarta (ID) / ap-southeast-5
0.7545 USD/h 3.971 USD/h
Tokyo (JP) / ap-northeast-1
0.9096 USD/h 4.1344 USD/h
Hong Kong (HK) / cn-hongkong
- 4.1344 USD/h

Processor

vCPUs
64
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
64
CPU Speed
2.55 GHz
CPU Architecture
x86_64
CPU Manufacturer
AMD
CPU Family
EPYC
CPU Model
7T83
CPU L1D Cache
32 KiB
CPU L1D Cache Total
1 MiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
1 MiB
CPU L2 Cache
512 KiB
CPU L2 Cache Total
16 MiB
CPU L3 Cache
32 MiB
CPU L3 Cache Total
128 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, ht, syscall, nx, mmxext, fxsr_opt, pdpe1gb, rdtscp, lm, constant_tsc, rep_good, nopl, nonstop_tsc, cpuid, extd_apicid, 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, cmp_legacy, cr8_legacy, abm, sse4a, misalignsse, 3dnowprefetch, osvw, topoext, ssbd, ibrs, ibpb, stibp, vmmcall, tsc_adjust, bmi1, avx2, smep, bmi2, erms, invpcid, rdseed, adx, smap, clflushopt, clwb, sha_ni, xsaveopt, xsavec, xgetbv1, xsaves, clzero, xsaveerptr, wbnoinvd, arat, vaes, vpclmulqdq, rdpid, fsrm
Ecpus
32
Scalability
50

System Resources and Accelerators

MEMORY
Memory Amount
512 GiB
Memory Amount Actual
512 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 sixty-four dedicated AMD EPYC cores and half a terabyte of RAM for demanding enterprise workloads.

      Memory OptimizedCompute Optimized

      Alibaba Cloud ecs.r7a.16xlarge is a memory-optimized instance featuring 64 dedicated physical cores on an x86_64 AMD EPYC 7T83 processor running at 2.55 GHz. It is configured with 512.0 GB of RAM, yielding a high 8.0 GB per core ratio, but contains no local storage or GPU hardware. Operating on the KVM hypervisor, the instance delivers 16 Gbps of baseline network bandwidth. Performance benchmarks indicate strong capabilities in multi-core CPU execution, cached memory reads, and multi-threaded decompression, while uncached memory bandwidth and database operations perform at average levels. This resource profile makes the instance highly suitable for memory-intensive workloads, including in-memory databases, large-scale data processing, and enterprise application hosting where local storage is not a primary requirement.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      1.93Score
      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) 4,688,504 ops/sec 1,917,397 ops/sec 2.45 50.00% 50.00% +56.50%
      Redis RPS (pipeline=16, SET) 35,248,866 ops/sec 11,681,410 ops/sec 3.02 20.00% 20.00% +24.70%
      PassMark Memory Mark (composite) 2,867 2,418 1.19 10.00% 10.00% +1.75%
      Memory bandwidth (read, 16 MB ~ L3) 80,043 MB/sec 108,140 MB/sec 0.74 10.00% 10.00% -2.97%
      PassMark single-thread CPU 2,386 Mops/s 2,365 Mops/s 1.01 10.00% 10.00% +0.10%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 1,537

      Geekbench Multi-Core

      Score: 14,127

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 58937
      Compression
      		 997863
      Encryption
      		 68053
      Extended Instructions
      		 58252
      Floating Point Maths
      		 145719
      Integer Maths
      		 266092
      Physics
      		 3931
      Prime Numbers
      		 321
      Single Threaded
      		 2386
      String Sorting
      		 109709

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 2867
      Database Operations
      		 21246
      Memory Latency
      		 59
      Memory Read Cached
      		 23684
      Memory Read Uncached
      		 17580
      Memory Write
      		 15619

      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.r7a.large 216 GiB0
      ecs.r7a.xlarge 432 GiB0
      ecs.r7a.2xlarge 864 GiB0
      ecs.r7a.4xlarge 16128 GiB0
      ecs.r7a-nps1.8xlarge 32256 GiB0
      ecs.r7a.8xlarge 32256 GiB0
      ecs.r7a-nps1.16xlarge 64512 GiB0

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      ecs.r7a.16xlarge FAQs