logo

vc2-6c-16gb by Vultr

vc2-6c-16gb is a Cloud Compute (6 vCPUs, 16.0 GiB RAM, 320 GB NVMe) server offered by Vultr with 6 vCPUs, 16 GiB of memory and 320 GB of storage. The pricing starts at 0.11 USD per hour.
6 vCPU
16 GiB Memory
320 GB Storage
Spare SCore
6774
(All-cores)
1272
(Single-core)

Specifications

Server Metadata

Vendor ID
vultr
Name
vc2-6c-16gb
Description
Cloud Compute (6 vCPUs, 16.0 GiB RAM, 320 GB NVMe)
Family
Cloud Compute
Hw Virt
Average Time To Start
66.5
Status
active
Observed At
2026-07-20T16:35:16.790662

Availability

REGION / IDSPOTONDEMAND
Amsterdam (NL) / ams
- 0.11 USD/h
Atlanta (US) / atl
- 0.11 USD/h
Bangalore (IN) / blr
- 0.11 USD/h
Mumbai (IN) / bom
- 0.11 USD/h
Paris (FR) / cdg
- 0.11 USD/h
Delhi NCR (IN) / del
- 0.11 USD/h
Dallas (US) / dfw
- 0.11 USD/h
New Jersey (US) / ewr
- 0.11 USD/h
Frankfurt (DE) / fra
- 0.11 USD/h
Seoul (KR) / icn
- 0.11 USD/h
Osaka (JP) / itm
- 0.11 USD/h
Johannesburg (ZA) / jnb
- 0.11 USD/h
Los Angeles (US) / lax
- 0.11 USD/h
London (GB) / lhr
- 0.11 USD/h
Madrid (ES) / mad
- 0.11 USD/h
Manchester (GB) / man
- 0.11 USD/h
Melbourne (AU) / mel
- 0.11 USD/h
Mexico City (MX) / mex
- 0.11 USD/h
Miami (US) / mia
- 0.11 USD/h
Tokyo (JP) / nrt
- 0.11 USD/h
Chicago (US) / ord
- 0.11 USD/h
Santiago (CL) / scl
- 0.11 USD/h
Seattle (US) / sea
- 0.11 USD/h
Singapore (SG) / sgp
- 0.11 USD/h
Silicon Valley (US) / sjc
- 0.11 USD/h
Stockholm (SE) / sto
- 0.11 USD/h
Sydney (AU) / syd
- 0.11 USD/h
Tel Aviv (IL) / tlv
- 0.11 USD/h
Warsaw (PL) / waw
- 0.11 USD/h
Toronto (CA) / yto
- 0.11 USD/h
São Paulo (BR) / sao
- 0.164 USD/h

Processor

vCPUs
6
CPU Allocation
Shared
CPU Cores
3
CPU Speed
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
4 MiB
CPU L2 Cache Total
12 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, pdpe1gb, 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, avx512f, avx512dq, clwb, avx512cd, avx512bw, avx512vl, xsaveopt, arat, pku, ospke
Ecpus
5.3
Scalability
176.67

System Resources and Accelerators

MEMORY
Memory Amount
16 GiB
Memory Amount Actual
16 GiB
GPU
GPU Count
0
GPU Memory Min
0 MiB
GPU Memory Total
0 MiB
GPUs
    STORAGE
    Storage Size
    320 GB
    Storage Type
    nvme ssd
    Storages
      NETWORK
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      5120 GB/month
      IPv4
      1

      CPU and System Topology

      Server Description

      A budget-friendly virtual server combining six shared vCPUs, sixteen gigabytes of memory, and local NVMe storage for non-critical workloads.

      Burstable & BudgetGeneral Purpose

      Vultr vc2-6c-16gb is a budget-friendly Cloud Compute instance featuring 6 shared Intel Xeon vCPUs, 16.0 GB of RAM, and 320 GB of local NVMe SSD storage. Operating on the x86_64 architecture at 2.0 GHz, this instance is designed for workloads that benefit from multi-core capacity without requiring sustained, dedicated CPU performance. Benchmark data reveals a trade-off: single-core performance and database operations are weak, while multi-core stress tests and Redis SET operations achieve average tier results. With 2.67 GB of memory per core and a shared CPU model, this server offers a cost-efficient profile for resource-dense but non-critical workloads. It is best suited for development environments, lightweight caching, and low-traffic web applications.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.329Score
      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) 452,441 ops/sec 1,895,870 ops/sec 0.239 50.00% 50.00% -51.10%
      Redis RPS (pipeline=16, SET) 3,303,059 ops/sec 11,503,938 ops/sec 0.287 20.00% 20.00% -22.10%
      PassMark Memory Mark (composite) 1,788 2,410 0.742 10.00% 10.00% -2.94%
      Memory bandwidth (read, 16 MB ~ L3) 49,870 MB/sec 107,331 MB/sec 0.465 10.00% 10.00% -7.37%
      PassMark single-thread CPU 1,574 Mops/s 2,363 Mops/s 0.666 10.00% 10.00% -3.98%

      Memory Bandwidth

      Compression

      OpenSSL

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		6459
      Compression
      		89909
      Encryption
      		1706
      Extended Instructions
      		5872
      Floating Point Maths
      		15170
      Integer Maths
      		18192
      Physics
      		762
      Prime Numbers
      		50
      Single Threaded
      		1574
      String Sorting
      		12396

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		1788
      Database Operations
      		1703
      Memory Latency
      		59
      Memory Read Cached
      		17908
      Memory Read Uncached
      		8072
      Memory Write
      		6482

      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
      vc2-1c-0.5gb 10.5 GiB0
      vc2-1c-0.5gb-v6 10.5 GiB0
      vc2-1c-1gb 11 GiB0
      vc2-1c-2gb 12 GiB0
      vc2-2c-2gb 22 GiB0
      vc2-2c-4gb 24 GiB0
      vc2-4c-8gb 48 GiB0

      Similar Servers

      INSTANCEVENDORvCPUsMEMORYGPUs

      vc2-6c-16gb FAQs