p3.8xlarge by Amazon Web Services
p3.8xlarge is a GPU accelerated Gen3 8xlarge server offered by Amazon Web Services with 32 vCPUs, 244 GiB of memory and 0 GB of storage.
32 vCPU
244 GiB Memory
4 Accelerator
Spare SCore
16,091
(All-cores)
(All-cores)
883
(Single-core)
(Single-core)
Specifications
Server Metadata
Vendor ID | aws |
Name | p3.8xlarge |
Description | GPU accelerated Gen3 8xlarge |
Family | p3 |
Hw Virt | - |
Status | retired |
Observed At | 2026-11-14T19:17:54.086652 |
Availability
| Region / ID | Spot | Ondemand |
|---|---|---|
Ohio (US) / us-east-2 | 3.19885 USD/h | 12.24 USD/h |
Northern Virgina (US) / us-east-1 | 3.97955 USD/h | 12.24 USD/h |
Oregon (US) / us-west-2 | 5.321133 USD/h | 12.24 USD/h |
Dublin (IE) / eu-west-1 | 4.40865 USD/h | 13.22 USD/h |
Quebec (CA) / ca-central-1 | 10.9685 USD/h | 13.464 USD/h |
London (GB) / eu-west-2 | 9.455 USD/h | 14.356 USD/h |
Frankfurt (DE) / eu-central-1 | 10.10075 USD/h | 15.292 USD/h |
Tokyo (JP) / ap-northeast-1 | 8.83705 USD/h | 16.776 USD/h |
Sydney (AU) / ap-southeast-2 | 16.3284 USD/h | 16.936 USD/h |
Seoul (KR) / ap-northeast-2 | 16.936 USD/h | 16.936 USD/h |
Singapore (SG) / ap-southeast-1 | 16.936 USD/h | 16.936 USD/h |
Processor
vCPUs | 32 |
Hypervisor | xen |
CPU Allocation | Dedicated |
CPU Cores | 16 |
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 | 512 KiB |
CPU L1I Cache | 32 KiB |
CPU L1I Cache Total | 512 KiB |
CPU L2 Cache | 256 KiB |
CPU L2 Cache Total | 4 MiB |
CPU L3 Cache | 45 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 | 244 GiB |
| Accelerators | |
|---|---|
Accelerator Count | 4 |
Accelerator Memory Min | 16 GiB |
Accelerator Memory Total | 64 GiB |
Accelerator Manufacturer | NVIDIA |
Accelerator Family | Volta |
Accelerator Model | V100 |
Accelerators |
|
| 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
Performance
GPU Bandwidth and Latency
| Node (all GPUs) | |
|---|---|
Node baseline directional bandwidth | 19.6 GB/s |
Node GPU-to-host bandwidth | 25.1 GB/s |
Node host-to-GPU bandwidth | 23.0 GB/s |
| Peer-to-peer | |
|---|---|
GPU-to-GPU P2P duplex bandwidth | 36.3 GB/s |
GPU-to-GPU P2P gather bandwidth | 70.7 GB/s |
GPU-to-GPU P2P latency | 1,163 ns |
GPU-to-GPU P2P bandwidth | 36.3 GB/s |
| Single GPU slot | |
|---|---|
Per-GPU GPU-to-host bandwidth | 12.5 GB/s |
Per-GPU host-to-GPU bandwidth | 11.1 GB/s |
Per-GPU host-device latency | 1,169 ns |
| Benchmark Environment | |
|---|---|
Driver Version | 535.183.01 |
CUDA Version (driver) | 12.6 |
nvbandwidth Version | v0.5 |
GPU Count | 4 |
P2P Supported | Yes |
| Efficiency | |
|---|---|
SM/CE copy efficiency | 1.00 |
Memory Bandwidth
Compression
OpenSSL
Geekbench Single-Core
Score: 921
Geekbench Multi-Core
Score: 7,850
Passmark CPU Scores
| BENCHMARK | SCORE |
|---|---|
Mark | 20,539 |
Compression | 331,914 |
Encryption | 7,386 |
Extended Instructions | 17,277 |
Floating Point Maths | 48,114 |
Integer Maths | 76,232 |
Physics | 1,420 |
Prime Numbers | 109 |
Single Threaded | 1,724 |
String Sorting | 48,329 |
Passmark Memory Scores
| BENCHMARK | SCORE |
|---|---|
Memory Mark | 2,289 |
Database Operations | 9,135 |
Memory Latency | 55 |
Memory Read Cached | 19,568 |
Memory Read Uncached | 9,922 |
Memory Write | 6,964 |
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
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