ecs.vgn6i-m4-vws.xlarge by Alibaba Cloud

ecs.vgn6i-m4-vws.xlarge is a ecs.vgn6i-vws family (4 vCPUs, 23 GiB RAM, 0 GB storage, 0.25xT4 4096 GiB VRAM) server offered by Alibaba Cloud with 4 vCPUs, 23 GiB of memory and 0 GB of storage. The pricing starts at 0.0684 USD per hour.
4 vCPU
23 GiB Memory
0.25 GPU
Spare SCore
2,934
(All-cores)
1,104
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.vgn6i-m4-vws.xlarge
Description
ecs.vgn6i-vws family (4 vCPUs, 23 GiB RAM, 0 GB storage, 0.25xT4 4096 GiB VRAM)
Family
ecs.vgn6i-vws
Hw Virt
Average Time To Start
18
Status
active
Observed At
2026-09-06T19:11:19.934140

Availability

REGION / IDSPOTONDEMAND
Zhangjiakou (CN) / cn-zhangjiakou
0.0684 USD/h 0.456 USD/h
Beijing (CN) / cn-beijing
- 0.5067 USD/h
Hangzhou (CN) / cn-hangzhou
- 0.5067 USD/h
Shanghai (CN) / cn-shanghai
- 0.5067 USD/h
Shenzhen (CN) / cn-shenzhen
- 0.5067 USD/h
Singapore (SG) / ap-southeast-1
- 0.5226 USD/h

Processor

vCPUs
4
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
4
CPU Speed
2.5 GHz
CPU Architecture
x86_64
CPU Manufacturer
Intel
CPU Family
Xeon
CPU Model
8163
CPU L1D Cache
32 KiB
CPU L1D Cache Total
64 KiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
64 KiB
CPU L2 Cache
1 MiB
CPU L2 Cache Total
2 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, monitor, ssse3, fma, cx16, pcid, sse4_1, sse4_2, x2apic, movbe, popcnt, aes, xsave, avx, f16c, rdrand, hypervisor, lahf_lm, abm, 3dnowprefetch, 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
2.7
Scalability
67.5

System Resources and Accelerators

MEMORY
Memory Amount
23 GiB
Memory Amount Actual
23 GiB
GPU
GPU Count
0.25
GPU Memory Min
4 GiB
GPU Memory Total
4 GiB
GPU Model
T4
GPUs
    STORAGE
    Storage Size
    0 GB
    Storages
      NETWORK
      Network Speed Baseline
      2 Gbps
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      0 GB/month
      IPv4
      0

      CPU and System Topology

      Server Description

      An entry-level, fractional GPU instance offering dedicated Intel Xeon cores and balanced memory for lightweight accelerated workloads.

      GPU AcceleratedGeneral Purpose

      Alibaba Cloud ecs.vgn6i-m4-vws.xlarge is a KVM-based virtual server configured with an Intel Xeon 8163 processor offering 4 dedicated physical cores at 2.5 GHz and 23.0 GB of system memory. It features a fractional NVIDIA T4 GPU (0.25x) with 4 GB of VRAM, while lacking local storage and providing a 2 Gbps baseline network bandwidth. Performance benchmarks place this instance in the lower tiers, with weak CPU and memory bandwidth results, such as a Geekbench multi-core score of 2011.0 and a large-block memory read speed of 19.82 GB/sec. Qualitatively, the fractional GPU allocation offers a cost-effective option for workloads needing hardware acceleration without the cost of a full GPU. This instance is best suited for lightweight GPU-accelerated applications, small-scale model inference, and development environments.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.226Score
      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) 323,356 ops/sec 1,917,397 ops/sec 0.169 50.00% 50.00% -58.90%
      Redis RPS (pipeline=16, SET) 1,919,729 ops/sec 11,681,410 ops/sec 0.164 20.00% 20.00% -30.30%
      PassMark Memory Mark (composite) 1,395 2,418 0.577 10.00% 10.00% -5.35%
      Memory bandwidth (read, 16 MB ~ L3) 25,200 MB/sec 108,140 MB/sec 0.233 10.00% 10.00% -13.60%
      PassMark single-thread CPU 1,654 Mops/s 2,365 Mops/s 0.7 10.00% 10.00% -3.50%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 904

      Geekbench Multi-Core

      Score: 2,011

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 3597
      Compression
      		 45633
      Encryption
      		 1362
      Extended Instructions
      		 2878
      Floating Point Maths
      		 5268
      Integer Maths
      		 9805
      Physics
      		 423
      Prime Numbers
      		 24
      Single Threaded
      		 1654
      String Sorting
      		 6038

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 1395
      Database Operations
      		 1084
      Memory Latency
      		 79
      Memory Read Cached
      		 19392
      Memory Read Uncached
      		 7059
      Memory Write
      		 7593

      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.vgn6i-m8-vws.2xlarge 1046 GiB½
      ecs.vgn6i-m16-vws.5xlarge 2092 GiB1

      Similar Servers

      INSTANCEVENDORvCPUsMEMORYGPUs

      ecs.vgn6i-m4-vws.xlarge FAQs