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 last known price was 0.059 USD per hour.
2 vCPU
8 GiB Memory
50 GB Storage
0.125 GPU
Spare SCore
3,466
(All-cores)
1,782
(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
69.75
Status
inactive
Observed At
2026-10-19T14:12:02.350515

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
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
1.9
Scalability
95

System Resources and Accelerators

MEMORY
Memory Amount
8 GiB
Memory Amount Actual
8 GiB
ACCELERATORS
Accelerator Count
0.125
Accelerator Memory Min
2 GiB
Accelerator Memory Total
2 GiB
Accelerator Type
GPU
Accelerator Manufacturer
NVIDIA
Accelerator Family
Ampere
Accelerator Model
A16
Accelerators
    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

      An entry-level cloud instance featuring fractional GPU acceleration and NVMe storage for lightweight model inference and development workloads.

      GPU AcceleratedGeneral Purpose

      Vultr vcg-a16-2c-8g-2vram is an entry-level instance within the Cloud GPU family, featuring 2 vCPUs on a dedicated 2.0 GHz Intel x86_64 processor, 8.0 GB of RAM, and 50 GB of local NVMe SSD storage. It includes a fractional NVIDIA Ampere A16 GPU with 2 GB of VRAM. While multi-core and memory bandwidth benchmarks are weak, single-core performance is average, and the instance demonstrates top-tier prompt processing speeds of 7078.28 tokens/sec for small 135M parameter LLMs. This server provides a cost-efficient entry point for lightweight GPU-accelerated tasks, small-scale model inference, and development environments.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.24Score
      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 1,917,050 ops/sec 0.15 50.00% 50.00% -61.00%
      Redis RPS (pipeline=16, SET) 1,942,528 ops/sec 11,661,818 ops/sec 0.16 20.00% 20.00% -31.00%
      PassMark Memory Mark (composite) 1,825 2,417 0.75 10.00% 10.00% -2.80%
      Memory bandwidth (read, 16 MB ~ L3) 47,006 MB/sec 108,361 MB/sec 0.43 10.00% 10.00% -8.10%
      PassMark single-thread CPU 2,230 Mops/s 2,365 Mops/s 0.92 10.00% 10.00% -0.83%

      GPU Bandwidth and Latency

      Node (all GPUs)
      Node baseline directional bandwidth
      		5.5 GB/s
      Node GPU-to-host bandwidth
      		6.6 GB/s
      Node host-to-GPU bandwidth
      		6.4 GB/s
      Single GPU slot
      Per-GPU GPU-to-host bandwidth
      		6.6 GB/s
      Per-GPU host-to-GPU bandwidth
      		6.4 GB/s
      Per-GPU host-device latency
      		893 ns
      Benchmark Environment
      Driver Version
      		 550.90.07
      CUDA Runtime Version
      		 12.6
      nvbandwidth Version
      		 v0.8
      GPU Count
      		 1
      P2P Supported
      		No
      Efficiency
      SM/CE copy efficiency
      		1.00

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 1,428

      Geekbench Multi-Core

      Score: 2,612

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 3,668
      Compression
      		 40,980
      Encryption
      		 1,187
      Extended Instructions
      		 2,756
      Floating Point Maths
      		 7,961
      Integer Maths
      		 9,709
      Physics
      		 524
      Prime Numbers
      		 30
      Single Threaded
      		 2,230
      String Sorting
      		 5,737

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 1,825
      Database Operations
      		 989
      Memory Latency
      		 55
      Memory Read Cached
      		 22,930
      Memory Read Uncached
      		 10,745
      Memory Write
      		 10,311

      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-8g-2vram FAQs