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a2-ultragpu-1g by Google Cloud Platform

a2-ultragpu-1g is a Accelerator Optimized: 1 NVIDIA A100 80GB GPU, 12 vCPUs, 170GB RAM, 1 local SSD server offered by Google Cloud Platform with 12 vCPUs, 170 GiB of memory and 402 GB of storage. The pricing starts at 0.4373 USD per hour.
12 vCPU
170 GiB Memory
402 GB Storage
1 GPU
Spare SCore
9485
(All-cores)
1201
(Single-core)

Specifications

Server Metadata

Vendor ID
gcp
Server ID
1020012
Name
a2-ultragpu-1g
Description
Accelerator Optimized: 1 NVIDIA A100 80GB GPU, 12 vCPUs, 170GB RAM, 1 local SSD
Family
a2
Hw Virt
Status
active
Observed At
2026-07-28T01:03:13.143877

Availability

REGION / IDSPOTONDEMAND
Columbus (US) / us-east5
0.4373 USD/h 1.0996 USD/h
Council Bluffs (US) / us-central1
0.5772 USD/h 1.0996 USD/h
Eemshaven (NL) / europe-west4
0.5468 USD/h 1.2105 USD/h
Ashburn (US) / us-east4
0.743 USD/h 1.2383 USD/h
Jurong West (SG) / asia-southeast1
0.8139 USD/h 1.3564 USD/h

Processor

vCPUs
12
CPU Allocation
Dedicated
CPU Cores
6
CPU Speed
2.2 GHz
CPU Architecture
x86_64
CPU Manufacturer
Intel
CPU Family
Xeon
CPU L1D Cache
32 KiB
CPU L1D Cache Total
192 KiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
192 KiB
CPU L2 Cache
1 MiB
CPU L2 Cache Total
6 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
7.9
Scalability
131.67

System Resources and Accelerators

MEMORY
Memory Amount
170 GiB
Memory Amount Actual
170 GiB
GPU
GPU Count
1
GPU Memory Min
80 GiB
GPU Memory Total
80 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)
STORAGE
Storage Size
402 GB
Storage Type
nvme ssd
Storages
  • 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 platform pairing an NVIDIA A100 GPU with high-capacity system memory for top-tier large language model inference.

GPU AcceleratedMemory OptimizedStorage & Database

Google Cloud Platform a2-ultragpu-1g is an accelerator-optimized server designed for GPU-intensive workloads. It features an Intel Xeon x86_64 processor with 12 dedicated vCPUs, 170 GB of RAM, and a local 402 GB NVMe SSD. The primary computational driver is a single NVIDIA Ampere A100 GPU with 80 GB of VRAM. While synthetic benchmarks indicate average multi-core CPU performance and weaker single-core processing speeds, the server excels in machine learning tasks. Specifically, it achieves top-tier benchmark results in large language model inference for prompt processing and text generation across various model sizes. This hardware configuration is highly optimized for deep learning, AI inference, and data science workloads that require substantial GPU memory and high-bandwidth memory access, rather than general-purpose or CPU-bound sequential computing.

Economics

Average Price per Region

Prices per Zone

Lowest Prices

Performance

Workload Profiles

0.559Score
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) 931,881 ops/sec 1,896,415 ops/sec 0.491 50.00% 50.00% -29.90%
Redis RPS (pipeline=16, SET) 5,898,989 ops/sec 11,539,523 ops/sec 0.511 20.00% 20.00% -12.60%
PassMark Memory Mark (composite) 2,073 2,411 0.86 10.00% 10.00% -1.50%
Memory bandwidth (read, 16 MB ~ L3) 69,855 MB/sec 107,368 MB/sec 0.651 10.00% 10.00% -4.20%
PassMark single-thread CPU 1,690 Mops/s 2,363 Mops/s 0.715 10.00% 10.00% -3.30%

Memory Bandwidth

Compression

OpenSSL

Geekbench Single-Core

Score: 1,058

Geekbench Multi-Core

Score: 5,325

Passmark CPU Scores

BENCHMARKSCORE
Mark
 10455
Compression
 141277
Encryption
 4350
Extended Instructions
 8881
Floating Point Maths
 17047
Integer Maths
 31681
Physics
 1131
Prime Numbers
 61
Single Threaded
 1690
String Sorting
 16624

Passmark Memory Scores

BENCHMARKSCORE
Memory Mark
 2073
Database Operations
 3679
Memory Latency
 62
Memory Read Cached
 20813
Memory Read Uncached
 7733
Memory Write
 7754

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-highgpu-2g 24170 GiB2
a2-ultragpu-2g 24340 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-1g FAQs