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a2-ultragpu-2g by Google Cloud Platform

a2-ultragpu-2g is a Accelerator Optimized: 2 NVIDIA A100 80GB GPUs, 24 vCPUs, 340GB RAM, 2 local SSD server offered by Google Cloud Platform with 24 vCPUs, 340 GiB of memory and 804 GB of storage. The pricing starts at 0.8746 USD per hour.
24 vCPU
340 GiB Memory
804 GB Storage
2 GPU
Spare SCore
18972
(All-cores)
1201
(Single-core)

Specifications

Server Metadata

Vendor ID
gcp
Server ID
1020024
Name
a2-ultragpu-2g
Description
Accelerator Optimized: 2 NVIDIA A100 80GB GPUs, 24 vCPUs, 340GB RAM, 2 local SSD
Family
a2
Hw Virt
Status
active
Observed At
2026-07-28T06:54:35.380295

Availability

REGION / IDSPOTONDEMAND
Columbus (US) / us-east5
0.8746 USD/h 2.1992 USD/h
Council Bluffs (US) / us-central1
1.1543 USD/h 2.1992 USD/h
Eemshaven (NL) / europe-west4
1.0937 USD/h 2.421 USD/h
Ashburn (US) / us-east4
1.4861 USD/h 2.4767 USD/h
Jurong West (SG) / asia-southeast1
1.6278 USD/h 2.7128 USD/h

Processor

vCPUs
24
CPU Allocation
Dedicated
CPU Cores
12
CPU Speed
2.2 GHz
CPU Architecture
x86_64
CPU Manufacturer
Intel
CPU Family
Xeon
CPU L1D Cache
32 KiB
CPU L1D Cache Total
384 KiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
384 KiB
CPU L2 Cache
1 MiB
CPU L2 Cache Total
12 MiB
CPU L3 Cache
39 MiB
CPU L3 Cache Total
39 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, rep_good, nopl, xtopology, nonstop_tsc, cpuid, tsc_known_freq, pni, pclmulqdq, ssse3, fma, cx16, pcid, sse4_1, sse4_2, x2apic, movbe, popcnt, aes, xsave, avx, f16c, rdrand, hypervisor, lahf_lm, abm, 3dnowprefetch, ssbd, ibrs, ibpb, stibp, ibrs_enhanced, fsgsbase, tsc_adjust, bmi1, hle, avx2, smep, bmi2, erms, invpcid, rtm, mpx, avx512f, avx512dq, rdseed, adx, smap, clflushopt, clwb, avx512cd, avx512bw, avx512vl, xsaveopt, xsavec, xgetbv1, xsaves, arat, avx512_vnni, md_clear, arch_capabilities
Ecpus
15.8
Scalability
131.67

System Resources and Accelerators

MEMORY
Memory Amount
340 GiB
Memory Amount Actual
340 GiB
GPU
GPU Count
2
GPU Memory Min
80 GiB
GPU Memory Total
160 GiB
GPU Manufacturer
NVIDIA
GPU Family
Ampere
GPU Model
A100
GPUs
  • NVIDIA Ampere NVIDIA A100-SXM4-80GB (Memory amount: 81920, Firmware version: 590.48.01, BIOS version: 92.00.94.00.04, Clock rate: 1410)
  • NVIDIA Ampere NVIDIA A100-SXM4-80GB (Memory amount: 81920, Firmware version: 590.48.01, BIOS version: 92.00.94.00.04, Clock rate: 1410)
STORAGE
Storage Size
804 GB
Storage Type
nvme ssd
Storages
  • 402 GB nvme ssd
  • 402 GB nvme ssd
NETWORK
Inbound Traffic
0 GB/month
Outbound Traffic
0 GB/month
IPv4
0

CPU and System Topology

Server Description

An accelerator-optimized server featuring dual NVIDIA A100 GPUs and 340 GB RAM for high-throughput parallel computing and LLM inference.

GPU AcceleratedMemory OptimizedStorage & Database

Google Cloud Platform a2-ultragpu-2g is an accelerator-optimized server designed for parallel computing workloads. It features two NVIDIA Ampere A100 GPUs with 160 GB of total VRAM, paired with an Intel Xeon x86_64 CPU offering 24 dedicated vCPUs (12 physical cores) running at 2.2 GHz. The system is configured with 340 GB of RAM and 804 GB of local NVMe SSD storage. While single-core CPU benchmarks place this server in the lower tier, its multi-core capabilities and memory bandwidth are average, and its GPU-driven LLM inference performance is in the top tier. This server is highly efficient for deep learning, large language model inference, and GPU-accelerated data science, though it presents a tradeoff with weaker single-threaded CPU performance.

Economics

Average Price per Region

Prices per Zone

Lowest Prices

Performance

Workload Profiles

0.947Score
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) 1,885,620 ops/sec 1,896,415 ops/sec 0.994 50.00% 50.00% -0.30%
Redis RPS (pipeline=16, SET) 11,486,525 ops/sec 11,539,523 ops/sec 0.995 20.00% 20.00% -0.10%
PassMark Memory Mark (composite) 2,160 2,411 0.896 10.00% 10.00% -1.09%
Memory bandwidth (read, 16 MB ~ L3) 100,784 MB/sec 107,368 MB/sec 0.939 10.00% 10.00% -0.63%
PassMark single-thread CPU 1,698 Mops/s 2,363 Mops/s 0.719 10.00% 10.00% -3.25%

Memory Bandwidth

Compression

OpenSSL

Geekbench Single-Core

Score: 1,039

Geekbench Multi-Core

Score: 7,923

Passmark CPU Scores

BENCHMARKSCORE
Mark
 18766
Compression
 278916
Encryption
 8683
Extended Instructions
 18034
Floating Point Maths
 33907
Integer Maths
 63382
Physics
 1738
Prime Numbers
 85
Single Threaded
 1698
String Sorting
 32780

Passmark Memory Scores

BENCHMARKSCORE
Memory Mark
 2160
Database Operations
 7282
Memory Latency
 62
Memory Read Cached
 20741
Memory Read Uncached
 7791
Memory Write
 7838

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
a2-highgpu-1g 1285 GiB1
a2-ultragpu-1g 12170 GiB1
a2-highgpu-2g 24170 GiB2
a2-highgpu-4g 48340 GiB4
a2-ultragpu-4g 48680 GiB4
a2-highgpu-8g 96680 GiB8
a2-ultragpu-8g 961360 GiB8

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a2-ultragpu-2g FAQs