logo

g3.4xlarge by Amazon Web Services

g3.4xlarge is a Graphics intensive Gen3 4xlarge server offered by Amazon Web Services with 16 vCPUs, 122 GiB of memory and 0 GB of storage.
16 vCPU
122 GiB Memory
1 GPU
Spare SCore
8264
(All-cores)
881
(Single-core)

Specifications

Server Metadata

Vendor ID
aws
Name
g3.4xlarge
Description
Graphics intensive Gen3 4xlarge
Family
g3
Hw Virt
-
Status
inactive
Observed At
2026-07-29T14:11:44.160741

Availability

REGION / IDSPOTONDEMAND

Processor

vCPUs
16
Hypervisor
xen
CPU Allocation
Dedicated
CPU Cores
8
CPU Speed
2.7 GHz
CPU Architecture
x86_64
CPU Manufacturer
Intel
CPU Family
Xeon
CPU Model
E5-2686 v4
CPU L1D Cache
32 KiB
CPU L1D Cache Total
256 KiB
CPU L2 Cache
256 KiB
CPU L2 Cache Total
2 MiB
CPU L3 Cache Total
45 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, pdpe1gb, rdtscp, lm, constant_tsc, rep_good, nopl, xtopology, nonstop_tsc, cpuid, aperfmperf, tsc_known_freq, pni, pclmulqdq, ssse3, fma, cx16, pcid, sse4_1, sse4_2, x2apic, movbe, popcnt, tsc_deadline_timer, aes, xsave, avx, f16c, rdrand, hypervisor, lahf_lm, abm, 3dnowprefetch, cpuid_fault, pti, fsgsbase, bmi1, hle, avx2, smep, bmi2, erms, invpcid, rtm, rdseed, adx, xsaveopt

System Resources and Accelerators

MEMORY
Memory Amount
122 GiB
GPU
GPU Count
1
GPU Memory Min
8 GiB
GPU Memory Total
8 GiB
GPU Manufacturer
NVIDIA
GPU Family
Maxwell
GPU Model
M60
GPUs
  • NVIDIA Maxwell Tesla M60 (Memory amount: 7680, BIOS version: 84.04.A6.00.01, Clock rate: 1177)
STORAGE
Storage Size
0 GB
Storages
    NETWORK
    Network Speed Baseline
    5 Gbps
    Inbound Traffic
    0 GB/month
    Outbound Traffic
    0 GB/month
    IPv4
    0

    CPU and System Topology

    Economics

    Average Price per Region

    Prices per Zone

    Lowest Prices

    Performance

    Workload Profiles

    0.608Score
    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) 1,061,445 ops/sec 1,896,415 ops/sec 0.56 50.00% 50.00% -25.20%
    Redis RPS (pipeline=16, SET) 6,644,665 ops/sec 11,539,523 ops/sec 0.576 20.00% 20.00% -10.40%
    PassMark Memory Mark (composite) 2,255 2,411 0.936 10.00% 10.00% -0.66%
    Memory bandwidth (read, 16 MB ~ L3) 59,443 MB/sec 107,368 MB/sec 0.554 10.00% 10.00% -5.73%
    PassMark single-thread CPU 1,740 Mops/s 2,363 Mops/s 0.736 10.00% 10.00% -3.02%

    Memory Bandwidth

    Compression

    OpenSSL

    Geekbench Single-Core

    Score: 910

    Geekbench Multi-Core

    Score: 5,547

    Passmark CPU Scores

    BENCHMARKSCORE
    Mark
    		 11932
    Compression
    		 172650
    Encryption
    		 3762
    Extended Instructions
    		 8754
    Floating Point Maths
    		 24464
    Integer Maths
    		 38774
    Physics
    		 1261
    Prime Numbers
    		 85
    Single Threaded
    		 1740
    String Sorting
    		 25472

    Passmark Memory Scores

    BENCHMARKSCORE
    Memory Mark
    		 2255
    Database Operations
    		 4732
    Memory Latency
    		 54
    Memory Read Cached
    		 19561
    Memory Read Uncached
    		 10104
    Memory Write
    		 7078

    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

    Similar Servers

    INSTANCEVENDORvCPUsMEMORYGPUs

    g3.4xlarge FAQs