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g4ad.16xlarge by Amazon Web Services

g4ad.16xlarge is a Graphics intensive [AMD processors] [Instance store volumes] Gen4 16xlarge server offered by Amazon Web Services with 64 vCPUs, 256 GiB of memory and 2.4 TB of storage. The pricing starts at 0.6063 USD per hour.
64 vCPU
256 GiB Memory
2.4 TB Storage
4 GPU
Spare SCore
24575
(All-cores)
767
(Single-core)

Specifications

Server Metadata

Vendor ID
aws
Name
g4ad.16xlarge
Description
Graphics intensive [AMD processors] [Instance store volumes] Gen4 16xlarge
Family
g4ad
Hw Virt
Status
active
Observed At
2026-07-28T03:32:58.325926

Availability

REGION / IDSPOTONDEMAND
Ohio (US) / us-east-2
0.775333 USD/h 3.468 USD/h
Oregon (US) / us-west-2
1.371867 USD/h 3.468 USD/h
Northern Virgina (US) / us-east-1
2.113125 USD/h 3.468 USD/h
Quebec (CA) / ca-central-1
0.8645 USD/h 3.872 USD/h
Dublin (IE) / eu-west-1
1.611933 USD/h 3.872 USD/h
London (GB) / eu-west-2
0.80835 USD/h 4.056 USD/h
Frankfurt (DE) / eu-central-1
1.11485 USD/h 4.336 USD/h
Tokyo (JP) / ap-northeast-1
2.494 USD/h 4.68 USD/h

Processor

vCPUs
64
Hypervisor
nitro
CPU Allocation
Dedicated
CPU Cores
32
CPU Speed
3 GHz
CPU Architecture
x86_64
CPU Manufacturer
AMD
CPU Family
EPYC
CPU Model
7R32
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
16 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, sse4_1, sse4_2, 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, rdseed, adx, smap, clflushopt, clwb, sha_ni, xsaveopt, xsavec, xgetbv1, clzero, xsaveerptr, rdpru, wbnoinvd, arat, npt, nrip_save, rdpid
Ecpus
32
Scalability
100

System Resources and Accelerators

MEMORY
Memory Amount
256 GiB
Memory Amount Actual
256 GiB
Memory Generation
DDR4
Memory Speed
2933 Mhz
GPU
GPU Count
4
GPU Memory Min
8 GiB
GPU Memory Total
32 GiB
GPU Manufacturer
AMD
GPU Family
Radeon Pro Navi
GPU Model
V520
GPUs
  • AMD Radeon Pro V520 (Memory amount: 8192)
  • AMD Radeon Pro V520 (Memory amount: 8192)
  • AMD Radeon Pro V520 (Memory amount: 8192)
  • AMD Radeon Pro V520 (Memory amount: 8192)
STORAGE
Storage Size
2400 GB
Storage Type
nvme ssd
Storages
  • 1200 GB nvme ssd
  • 1200 GB nvme ssd
NETWORK
Network Speed Baseline
25 Gbps
Network Speed Max
25 Gbps
Network Storage Speed Baseline
6.3 Gbps
Network Storage Speed Max
6.3 Gbps
Inbound Traffic
0 GB/month
Outbound Traffic
0 GB/month
IPv4
0

CPU and System Topology

Server Description

A graphics-focused virtual server featuring quad AMD Radeon GPUs, local NVMe storage, and 64 vCPUs for parallelized and ray-tracing workloads.

GPU AcceleratedStorage & DatabaseGeneral Purpose

Amazon Web Services g4ad.16xlarge is a graphics-intensive virtual server powered by an AMD EPYC 7R32 processor with 64 vCPUs, 256.0 GB of DDR4 RAM, and four AMD Radeon Pro Navi V520 GPUs providing 32 GB of total VRAM. It features 2400 GB of local NVMe SSD storage and 25 Gbps baseline network bandwidth. While single-core CPU benchmarks are poor, multi-core performance is average, and Passmark CPU, encryption, and Geekbench ray tracing benchmarks register as strong. This resource-dense configuration offers qualitative cost efficiency for parallel graphics workloads and multi-threaded processing. It is suited for ray tracing, graphics-intensive applications, database operations, and moderate LLM inference, though it is constrained by lower single-core performance.

Economics

Average Price per Region

Prices per Zone

Lowest Prices

Performance

Workload Profiles

2.1Score
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) 5,189,988 ops/sec 1,896,415 ops/sec 2.74 50.00% 50.00% +65.50%
Redis RPS (pipeline=16, SET) 34,612,831 ops/sec 11,539,523 ops/sec 3 20.00% 20.00% +24.60%
PassMark Memory Mark (composite) 2,914 2,411 1.21 10.00% 10.00% +1.92%
Memory bandwidth (read, 16 MB ~ L3) 119,968 MB/sec 107,368 MB/sec 1.12 10.00% 10.00% +1.14%
PassMark single-thread CPU 2,135 Mops/s 2,363 Mops/s 0.904 10.00% 10.00% -1.00%

Memory Bandwidth

Compression

OpenSSL

Geekbench Single-Core

Score: 1,339

Geekbench Multi-Core

Score: 14,135

Passmark CPU Scores

BENCHMARKSCORE
Mark
55850
Compression
944945
Encryption
68327
Extended Instructions
56754
Floating Point Maths
129061
Integer Maths
215990
Physics
5535
Prime Numbers
314
Single Threaded
2135
String Sorting
128963

Passmark Memory Scores

BENCHMARKSCORE
Memory Mark
2914
Database Operations
21668
Memory Latency
52
Memory Read Cached
24527
Memory Read Uncached
12694
Memory Write
13771

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
g4ad.xlarge 416 GiB1
g4ad.2xlarge 832 GiB1
g4ad.4xlarge 1664 GiB1
g4ad.8xlarge 32128 GiB2

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INSTANCEVENDORvCPUsMEMORYGPUs

g4ad.16xlarge FAQs