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ecs.g7t.6xlarge by Alibaba Cloud

ecs.g7t.6xlarge is a ecs.g7t family (24 vCPUs, 96 GiB RAM, 0 GB storage) server offered by Alibaba Cloud with 24 vCPUs, 96 GiB of memory and 0 GB of storage. The pricing starts at 1.1214 USD per hour.
24 vCPU
96 GiB Memory
Spare SCore
23312
(All-cores)
1861
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.g7t.6xlarge
Description
ecs.g7t family (24 vCPUs, 96 GiB RAM, 0 GB storage)
Family
ecs.g7t
Hw Virt
Status
active
Observed At
2026-08-03T07:07:57.674640

Availability

REGION / IDSPOTONDEMAND
Beijing (CN) / cn-beijing
- 1.1214 USD/h
Shanghai (CN) / cn-shanghai
- 1.1214 USD/h
Shenzhen (CN) / cn-shenzhen
- 1.1214 USD/h
Hong Kong (HK) / cn-hongkong
- 1.497 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, sgx, 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, sgx_lc, fsrm, arch_capabilities
Ecpus
12.5
Scalability
52.08

System Resources and Accelerators

MEMORY
Memory Amount
96 GiB
Memory Amount Actual
48 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 balanced general-purpose virtual instance featuring dedicated Intel Xeon processors and a 1:4 vCPU-to-RAM ratio for reliable enterprise workloads.

      General Purpose

      Alibaba Cloud ecs.g7t.6xlarge is a general-purpose, KVM-based virtual machine featuring 24 dedicated vCPUs powered by an Intel Xeon 8369B processor at 2.7 GHz. Built on the x86_64 architecture, it includes 96.0 GB of RAM, yielding a balanced 4.0 GB per core, with no local storage or GPU accelerators. The instance delivers a baseline network bandwidth of 12 Gbps. Benchmark results indicate solid mid-range performance, highlighted by a PassMark CPU score of 28,868.06 and a strong text generation speed of 294.62 tokens/sec on small LLM models. Lacking bundled storage, it offers qualitative cost efficiency by decoupling compute from storage scaling. It is suited for database operations, software compilation, static web serving, and moderate inference workloads.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      1.37Score
      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) 3,076,003 ops/sec 1,910,660 ops/sec 1.61 50.00% 50.00% +26.90%
      Redis RPS (pipeline=16, SET) 15,947,054 ops/sec 11,608,287 ops/sec 1.37 20.00% 20.00% +6.50%
      PassMark Memory Mark (composite) 2,191 2,416 0.907 10.00% 10.00% -0.97%
      Memory bandwidth (read, 16 MB ~ L3) 134,638 MB/sec 107,896 MB/sec 1.25 10.00% 10.00% +2.26%
      PassMark single-thread CPU 2,363 Mops/s 2,364 Mops/s 1 10.00% 10.00% 0.00%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 1,587

      Geekbench Multi-Core

      Score: 11,900

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 28868
      Compression
      		 368364
      Encryption
      		 21889
      Extended Instructions
      		 21199
      Floating Point Maths
      		 51688
      Integer Maths
      		 101077
      Physics
      		 2115
      Prime Numbers
      		 157
      Single Threaded
      		 2363
      String Sorting
      		 50485

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 2191
      Database Operations
      		 10487
      Memory Latency
      		 63
      Memory Read Cached
      		 24105
      Memory Read Uncached
      		 8155
      Memory Write
      		 8157

      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.g7t.large 28 GiB0
      ecs.g7t.xlarge 416 GiB0
      ecs.g7t.2xlarge 832 GiB0
      ecs.g7t.3xlarge 1248 GiB0
      ecs.g7t.4xlarge 1664 GiB0
      ecs.g7t.8xlarge 32128 GiB0
      ecs.g7t.16xlarge 64256 GiB0

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      ecs.g7t.6xlarge FAQs