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g6e.16xlarge by Amazon Web Services

g6e.16xlarge is a Graphics intensive [Extra storage or memory] Gen6 16xlarge server offered by Amazon Web Services with 64 vCPUs, 512 GiB of memory and 1.9 TB of storage. The pricing starts at 0.91 USD per hour.
64 vCPU
512 GiB Memory
1.9 TB Storage
1 GPU
Spare SCore
95699
(All-cores)
2992
(Single-core)

Specifications

Server Metadata

Vendor ID
aws
Name
g6e.16xlarge
Description
Graphics intensive [Extra storage or memory] Gen6 16xlarge
Family
g6e
Hw Virt
Status
active
Observed At
2026-07-31T20:54:49.733838

Availability

REGION / IDSPOTONDEMAND
Northern Virgina (US) / us-east-1
3.338 USD/h 7.5772 USD/h
Ohio (US) / us-east-2
3.469933 USD/h 7.5772 USD/h
Oregon (US) / us-west-2
3.8012 USD/h 7.5772 USD/h
Aragón (ES) / eu-south-2
3.39435 USD/h 7.9844 USD/h
Stockholm (SE) / eu-north-1
2.4198 USD/h 8.0373 USD/h
Mumbai (IN) / ap-south-1
2.27975 USD/h 9.1 USD/h
Hyderabad (IN) / ap-south-2
2.19045 USD/h 9.1 USD/h
United Arab Emirates / me-central-1
3.8053 USD/h 9.2954 USD/h
Seoul (KR) / ap-northeast-2
1.99895 USD/h 9.3157 USD/h
Frankfurt (DE) / eu-central-1
3.0962 USD/h 9.4745 USD/h
Osaka (JP) / ap-northeast-3
1.96465 USD/h 10.9892 USD/h
Tokyo (JP) / ap-northeast-1
2.1284 USD/h 10.9892 USD/h

Processor

vCPUs
64
Hypervisor
nitro
CPU Allocation
Dedicated
CPU Cores
32
CPU Speed
3.4 GHz
CPU Architecture
x86_64
CPU Manufacturer
AMD
CPU Family
EPYC
CPU Model
7R13
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, 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, topoext, ssbd, ibrs, ibpb, stibp, vmmcall, fsgsbase, bmi1, avx2, smep, bmi2, invpcid, rdseed, adx, smap, clflushopt, clwb, sha_ni, xsaveopt, xsavec, xgetbv1, clzero, xsaveerptr, rdpru, wbnoinvd, arat, npt, nrip_save, vaes, vpclmulqdq, rdpid
Ecpus
32
Scalability
100

System Resources and Accelerators

MEMORY
Memory Amount
512 GiB
Memory Amount Actual
512 GiB
Memory Generation
DDR4
Memory Speed
3200 Mhz
GPU
GPU Count
1
GPU Memory Min
45 GiB
GPU Memory Total
45 GiB
GPU Manufacturer
NVIDIA
GPU Family
Ada Lovelace
GPU Model
L40S
GPUs
  • NVIDIA Ada Lovelace NVIDIA L40S (Memory amount: 46068, Firmware version: 590.48.01, BIOS version: 95.02.66.00.15, Clock rate: 2520)
STORAGE
Storage Size
1900 GB
Storage Type
nvme ssd
Storages
  • 950 GB nvme ssd
  • 950 GB nvme ssd
NETWORK
Network Speed Baseline
35 Gbps
Network Speed Max
35 Gbps
Network Storage Speed Baseline
20 Gbps
Network Storage Speed Max
20 Gbps
Inbound Traffic
0 GB/month
Outbound Traffic
0 GB/month
IPv4
0

CPU and System Topology

Server Description

An accelerator-enabled instance combining dedicated AMD EPYC processing, high-capacity system memory, and an NVIDIA L40S GPU for demanding inference workloads.

GPU AcceleratedMemory OptimizedStorage & Database

Amazon Web Services g6e.16xlarge is a graphics-intensive instance featuring 64 dedicated vCPUs from an AMD EPYC 7R13 processor running at 3.4 GHz, paired with 512.0 GB of DDR4 memory. It integrates a single NVIDIA L40S GPU with 45 GB of VRAM and a 1900 GB NVMe SSD for local storage, supported by a 35 Gbps baseline network speed. Benchmark data indicates top-tier performance in large language model inference for prompt processing and text generation. It also demonstrates strong multi-core CPU execution, software compilation, and database operations, placing in the top 25% for these workloads. Uncached memory bandwidth and single-core processing remain in the average tier. This hardware configuration is designed for GPU-accelerated tasks, large-scale database operations, and machine learning inference.

Economics

Average Price per Region

Prices per Zone

Lowest Prices

Performance

Workload Profiles

2.29Score
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) 5,530,888 ops/sec 1,896,415 ops/sec 2.92 50.00% 50.00% +70.90%
Redis RPS (pipeline=16, SET) 39,865,870 ops/sec 11,539,523 ops/sec 3.45 20.00% 20.00% +28.10%
PassMark Memory Mark (composite) 2,852 2,411 1.18 10.00% 10.00% +1.67%
Memory bandwidth (read, 16 MB ~ L3) 127,065 MB/sec 107,368 MB/sec 1.18 10.00% 10.00% +1.67%
PassMark single-thread CPU 2,646 Mops/s 2,363 Mops/s 1.12 10.00% 10.00% +1.14%

Memory Bandwidth

Compression

OpenSSL

Geekbench Single-Core

Score: 1,693

Geekbench Multi-Core

Score: 16,621

Passmark CPU Scores

BENCHMARKSCORE
Mark
 67139
Compression
 1111368
Encryption
 75869
Extended Instructions
 58900
Floating Point Maths
 161603
Integer Maths
 294469
Physics
 6636
Prime Numbers
 367
Single Threaded
 2646
String Sorting
 143390

Passmark Memory Scores

BENCHMARKSCORE
Memory Mark
 2852
Database Operations
 26163
Memory Latency
 65
Memory Read Cached
 26254
Memory Read Uncached
 17054
Memory Write
 17355

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
g6e.xlarge 432 GiB1
g6e.2xlarge 864 GiB1
g6e.4xlarge 16128 GiB1
g6e.8xlarge 32256 GiB1
g6e.12xlarge 48384 GiB4
g6e.24xlarge 96768 GiB4
g6e.48xlarge 1921536 GiB8

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g6e.16xlarge FAQs