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vcg-a16-2c-8g-2vram by Vultr

vcg-a16-2c-8g-2vram is a Cloud GPU (2 vCPUs, 8.0 GiB RAM, 50 GB NVMe, 0.125xA16 16 GiB VRAM) server offered by Vultr with 2 vCPUs, 8 GiB of memory and 50 GB of storage. The pricing starts at 0.059 USD per hour.
2 vCPU
8 GiB Memory
50 GB Storage
0.125 GPU
Spare SCore
3466
(All-cores)
1782
(Single-core)

Specifications

Server Metadata

Vendor ID
vultr
Name
vcg-a16-2c-8g-2vram
Description
Cloud GPU (2 vCPUs, 8.0 GiB RAM, 50 GB NVMe, 0.125xA16 16 GiB VRAM)
Family
Cloud GPU
Hw Virt
Average Time To Start
72.86
Status
active
Observed At
2026-07-20T18:54:12.459029

Availability

REGION / IDSPOTONDEMAND
Atlanta (US) / atl
- 0.059 USD/h
Bangalore (IN) / blr
- 0.059 USD/h
New Jersey (US) / ewr
- 0.059 USD/h
Frankfurt (DE) / fra
- 0.059 USD/h
London (GB) / lhr
- 0.059 USD/h
Tokyo (JP) / nrt
- 0.059 USD/h
Chicago (US) / ord
- 0.059 USD/h
Singapore (SG) / sgp
- 0.059 USD/h
Silicon Valley (US) / sjc
- 0.059 USD/h

Processor

vCPUs
2
CPU Allocation
Shared
CPU Cores
1
CPU Speed
2 GHz
CPU Architecture
x86_64
CPU Manufacturer
Intel
CPU L1D Cache
32 KiB
CPU L1D Cache Total
64 KiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
64 KiB
CPU L2 Cache
4 MiB
CPU L2 Cache Total
4 MiB
CPU L3 Cache
16 MiB
CPU L3 Cache Total
16 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, rdtscp, lm, constant_tsc, rep_good, nopl, xtopology, cpuid, 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, cpuid_fault, pti, ssbd, ibrs, ibpb, fsgsbase, bmi1, avx2, smep, bmi2, erms, invpcid, xsaveopt, arat
Ecpus
1.9
Scalability
190

System Resources and Accelerators

MEMORY
Memory Amount
8 GiB
Memory Amount Actual
8 GiB
GPU
GPU Count
0.125
GPU Memory Min
2 GiB
GPU Memory Total
2 GiB
GPU Manufacturer
NVIDIA
GPU Family
Ampere
GPU Model
A16
GPUs
    STORAGE
    Storage Size
    50 GB
    Storage Type
    nvme ssd
    Storages
      NETWORK
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      1024 GB/month
      IPv4
      1

      CPU and System Topology

      Server Description

      A fractional GPU instance combining shared Intel processors with NVIDIA Ampere acceleration for entry-level machine learning inference and prototyping.

      GPU AcceleratedBurstable & BudgetGeneral Purpose

      Vultr vcg-a16-2c-8g-2vram is a fractional GPU instance configured with 2 shared Intel x86_64 vCPUs running at 2.0 GHz, 8.0 GB of system memory, and a 50 GB NVMe SSD. It features a fractional NVIDIA Ampere A16 GPU (0.125 allocation) with 2 GB of VRAM. Performance benchmarks indicate weak multi-core CPU and memory bandwidth capabilities, with a PassMark CPU score of 3668.28 and large-block memory read speeds of 27.11 GB/sec. However, the GPU accelerator enables top-tier prompt processing speeds of 7078.28 tokens/sec for small 135M LLM models. This instance represents a cost-efficient entry point for GPU-accelerated computing, trading off raw CPU power and VRAM capacity for budget-friendly resource access. It is suited for lightweight machine learning inference, small model prototyping, and basic parallel processing tasks.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.244Score
      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) 288,939 ops/sec 1,895,870 ops/sec 0.152 50.00% 50.00% -61.00%
      Redis RPS (pipeline=16, SET) 1,942,528 ops/sec 11,503,938 ops/sec 0.169 20.00% 20.00% -29.90%
      PassMark Memory Mark (composite) 1,825 2,410 0.757 10.00% 10.00% -2.75%
      Memory bandwidth (read, 16 MB ~ L3) 47,006 MB/sec 107,331 MB/sec 0.438 10.00% 10.00% -7.92%
      PassMark single-thread CPU 2,230 Mops/s 2,363 Mops/s 0.944 10.00% 10.00% -0.57%

      Memory Bandwidth

      Compression

      OpenSSL

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		3668
      Compression
      		40980
      Encryption
      		1187
      Extended Instructions
      		2756
      Floating Point Maths
      		7961
      Integer Maths
      		9709
      Physics
      		524
      Prime Numbers
      		30
      Single Threaded
      		2230
      String Sorting
      		5737

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		1825
      Database Operations
      		989
      Memory Latency
      		55
      Memory Read Cached
      		22930
      Memory Read Uncached
      		10745
      Memory Write
      		10311

      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
      vcg-a40-1c-5g-2vram 15 GiB1⁄24
      vcg-a40-2c-10g-4vram 210 GiB1⁄12
      vcg-a16-2c-16g-4vram 216 GiB¼
      vcg-a16-3c-32g-8vram 332 GiB½
      vcg-a40-4c-20g-8vram 420 GiB⅙
      vcg-a40-6c-30g-12vram 630 GiB¼
      vcg-a16-6c-64g-16vram 664 GiB1

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      vcg-a16-2c-8g-2vram FAQs