vcg-a16-2c-16g-4vram by Vultr

vcg-a16-2c-16g-4vram is a Cloud GPU (2 vCPUs, 16.0 GiB RAM, 80 GB NVMe, 0.25xA16 16 GiB VRAM) server offered by Vultr with 2 vCPUs, 16 GiB of memory and 80 GB of storage. The last known price was 0.118 USD per hour.
2 vCPU
16 GiB Memory
80 GB Storage
0.25 GPU
Spare SCore
3,513
(All-cores)
1,778
(Single-core)

Specifications

Server Metadata

Vendor ID
vultr
Name
vcg-a16-2c-16g-4vram
Description
Cloud GPU (2 vCPUs, 16.0 GiB RAM, 80 GB NVMe, 0.25xA16 16 GiB VRAM)
Family
Cloud GPU
Hw Virt
Average Time To Start
52.33
Status
inactive
Observed At
2026-10-19T01:37:17.765738

Availability

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

Processor

vCPUs
2
CPU Allocation
Dedicated
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
2
Scalability
100

System Resources and Accelerators

MEMORY
Memory Amount
16 GiB
Memory Amount Actual
16 GiB
ACCELERATORS
Accelerator Count
0.25
Accelerator Memory Min
4 GiB
Accelerator Memory Total
4 GiB
Accelerator Type
GPU
Accelerator Manufacturer
NVIDIA
Accelerator Family
Ampere
Accelerator Model
A16
Accelerators
    STORAGE
    Storage Size
    80 GB
    Storage Type
    nvme ssd
    Storages
      NETWORK
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      2048 GB/month
      IPv4
      1

      CPU and System Topology

      Server Description

      An entry-level cloud server combining dedicated Intel vCPUs with fractional NVIDIA Ampere GPU acceleration for lightweight machine learning workloads.

      GPU AcceleratedGeneral Purpose

      Vultr vcg-a16-2c-16g-4vram is a Cloud GPU instance featuring 2 dedicated Intel x86_64 vCPUs, 16.0 GB of RAM, and an 80 GB NVMe SSD. It includes a fractional NVIDIA Ampere A16 GPU providing 4 GB of dedicated VRAM. Benchmarks show average single-core CPU performance but weak multi-core and memory bandwidth results. However, the instance excels in GPU-driven tasks, delivering top-tier prompt processing speeds for small and medium LLM inference models. This fractional GPU configuration offers a cost-effective solution for developers needing GPU acceleration without the cost of a full card. It is highly suited for lightweight machine learning inference, model testing, and small-scale parallel processing workloads.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.26Score
      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) 302,596 ops/sec 1,917,050 ops/sec 0.16 50.00% 50.00% -60.00%
      Redis RPS (pipeline=16, SET) 2,153,970 ops/sec 11,661,818 ops/sec 0.18 20.00% 20.00% -29.00%
      PassMark Memory Mark (composite) 2,014 2,417 0.83 10.00% 10.00% -1.80%
      Memory bandwidth (read, 16 MB ~ L3) 50,068 MB/sec 108,361 MB/sec 0.45 10.00% 10.00% -7.70%
      PassMark single-thread CPU 2,239 Mops/s 2,365 Mops/s 0.92 10.00% 10.00% -0.83%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 1,458

      Geekbench Multi-Core

      Score: 2,647

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 3682
      Compression
      		 40790
      Encryption
      		 1191
      Extended Instructions
      		 2751
      Floating Point Maths
      		 8014
      Integer Maths
      		 9757
      Physics
      		 531
      Prime Numbers
      		 31
      Single Threaded
      		 2239
      String Sorting
      		 5772

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 2014
      Database Operations
      		 1006
      Memory Latency
      		 51
      Memory Read Cached
      		 22739
      Memory Read Uncached
      		 11827
      Memory Write
      		 10850

      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

      PostgreSQL heavy read-only throughput

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      vcg-a16-2c-16g-4vram FAQs