p3dn.24xlarge by Amazon Web Services
(All-cores)
(Single-core)
Specifications
Server Metadata
Vendor ID | aws |
Name | p3dn.24xlarge |
Description | GPU accelerated [Instance store volumes] [Network and EBS optimized] Gen3 24xlarge |
Family | p3dn |
Hw Virt | |
Status | active |
Observed At | 2026-07-25T07:02:16.668620 |
Availability
| REGION / ID | SPOT | ONDEMAND |
|---|---|---|
Northern Virgina (US) / us-east-1 | 5.31705 USD/h | 31.212 USD/h |
Oregon (US) / us-west-2 | 6.80805 USD/h | 31.212 USD/h |
Dublin (IE) / eu-west-1 | 8.5002 USD/h | 33.711 USD/h |
Tokyo (JP) / ap-northeast-1 | 22.9777 USD/h | 42.783 USD/h |
Processor
vCPUs | 96 |
Hypervisor | nitro |
CPU Allocation | Dedicated |
CPU Cores | 48 |
CPU Speed | 2.5 GHz |
CPU Architecture | x86_64 |
CPU Manufacturer | Intel |
CPU Family | Xeon |
CPU Model | 8175M |
CPU L1D Cache | 32 KiB |
CPU L1D Cache Total | 2 MiB |
CPU L1I Cache | 32 KiB |
CPU L1I Cache Total | 2 MiB |
CPU L2 Cache | 1 MiB |
CPU L2 Cache Total | 48 MiB |
CPU L3 Cache | 33 MiB |
CPU L3 Cache Total | 66 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, arch_perfmon, 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, tsc_deadline_timer, aes, xsave, avx, f16c, rdrand, hypervisor, lahf_lm, abm, 3dnowprefetch, pti, fsgsbase, tsc_adjust, bmi1, avx2, smep, bmi2, erms, invpcid, mpx, avx512f, avx512dq, rdseed, adx, smap, clflushopt, clwb, avx512cd, avx512bw, avx512vl, xsaveopt, xsavec, xgetbv1, xsaves, ida, arat, pku, ospke |
Ecpus | 58.7 |
Scalability | 122.29 |
System Resources and Accelerators
| MEMORY | |
|---|---|
Memory Amount | 768 GiB |
Memory Amount Actual | 768 GiB |
Memory Generation | DDR4 |
Memory Speed | 2666 Mhz |
| GPU | |
|---|---|
GPU Count | 8 |
GPU Memory Min | 32 GiB |
GPU Memory Total | 256 GiB |
GPU Manufacturer | NVIDIA |
GPU Family | Volta |
GPU Model | V100 |
GPUs |
|
| STORAGE | |
|---|---|
Storage Size | 1800 GB |
Storage Type | nvme ssd |
Storages |
|
| NETWORK | |
|---|---|
Network Speed Baseline | 100 Gbps |
Network Speed Max | 100 Gbps |
Network Storage Speed Baseline | 19 Gbps |
Network Storage Speed Max | 19 Gbps |
Inbound Traffic | 0 GB/month |
Outbound Traffic | 0 GB/month |
IPv4 | 0 |
CPU and System Topology
Server Description
A GPU-accelerated platform combining eight accelerators, massive memory bandwidth, and high-speed networking for parallelized machine learning workloads.
Amazon Web Services p3dn.24xlarge is a GPU-accelerated instance featuring 96 vCPUs from an Intel Xeon 8175M processor, 768.0 GB of DDR4 RAM, and eight NVIDIA Volta V100 GPUs with 256 GB of total VRAM. Built on the Nitro hypervisor, it includes 1800 GB of local NVMe SSD storage and a 100 Gbps network interface. While single-core CPU benchmarks are weak, the instance delivers strong multi-core CPU performance and top-tier LLM inference speeds, processing 144.96 tokens/sec for large 70B models. This high resource density makes it highly effective for parallel processing but less efficient for single-threaded tasks. It is designed for deep learning, large-scale machine learning inference, and high-performance computing workloads.
Economics
Performance
Memory Bandwidth
Compression
OpenSSL
Geekbench Single-Core
Geekbench Multi-Core
Passmark CPU Scores
| BENCHMARK | SCORE |
|---|---|
Mark | 55736 |
Compression | 1182319 |
Encryption | 37026 |
Extended Instructions | 74975 |
Floating Point Maths | 145201 |
Integer Maths | 271254 |
Physics | 5013 |
Prime Numbers | 340 |
Single Threaded | 1959 |
String Sorting | 136905 |
Passmark Memory Scores
| BENCHMARK | SCORE |
|---|---|
Memory Mark | 2694 |
Database Operations | 21503 |
Memory Latency | 53 |
Memory Read Cached | 23522 |
Memory Read Uncached | 10587 |
Memory Write | 10168 |
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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