vcg-a16-12c-128g-32vram by Vultr
(All-cores)
(Single-core)
Specifications
Server Metadata
Vendor ID | vultr |
Name | vcg-a16-12c-128g-32vram |
Description | Cloud GPU (12 vCPUs, 128.0 GiB RAM, 700 GB NVMe, 2xA16 16 GiB VRAM) |
Family | Cloud GPU |
Hw Virt | |
Average Time To Start | 101 |
Status | active |
Observed At | 2026-09-03T23:38:57.442701 |
Availability
| REGION / ID | SPOT | ONDEMAND |
|---|---|---|
Bangalore (IN) / blr | - | 0.942 USD/h |
Processor
vCPUs | 12 |
CPU Allocation | Dedicated |
CPU Cores | 6 |
CPU Speed | 2 GHz |
CPU Architecture | x86_64 |
CPU Manufacturer | Intel |
CPU L1D Cache | 32 KiB |
CPU L1D Cache Total | 384 KiB |
CPU L1I Cache | 32 KiB |
CPU L1I Cache Total | 384 KiB |
CPU L2 Cache | 4 MiB |
CPU L2 Cache Total | 24 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 | 12 |
Scalability | 200 |
System Resources and Accelerators
| MEMORY | |
|---|---|
Memory Amount | 128 GiB |
Memory Amount Actual | 128 GiB |
| GPU | |
|---|---|
GPU Count | 2 |
GPU Memory Min | 16 GiB |
GPU Memory Total | 32 GiB |
GPU Manufacturer | NVIDIA |
GPU Family | Ampere |
GPU Model | A16 |
GPUs |
| STORAGE | |
|---|---|
Storage Size | 700 GB |
Storage Type | nvme ssd |
Storages |
| NETWORK | |
|---|---|
Inbound Traffic | 0 GB/month |
Outbound Traffic | 10240 GB/month |
IPv4 | 1 |
CPU and System Topology
Server Description
A dual-GPU virtual server featuring dedicated Intel processors, high-capacity system memory, and fast local NVMe storage for accelerated workloads.
Vultr vcg-a16-12c-128g-32vram is a GPU-accelerated server instance designed for memory-intensive and parallel computing workloads. It features 12 dedicated Intel vCPUs (6 physical cores) running at 2.0 GHz, 128.0 GB of system memory, and a 700 GB NVMe SSD. The instance is equipped with two NVIDIA Ampere A16 GPUs, delivering a total of 32 GB of VRAM. In benchmark testing, the server demonstrates top-tier performance in LLM prompt processing, reaching 8,665.1 tokens per second for a 135M model and 613.27 tokens per second for a 7B model. General CPU and memory benchmarks, including a Geekbench multi-core score of 9,569.0 and a Passmark CPU score of 20,085.48, fall within the average range. This configuration is highly suitable for small-to-medium language model inference, image processing, ray tracing, and database operations requiring local NVMe storage.
Economics
Performance
Memory Bandwidth
Compression
OpenSSL
Geekbench Single-Core
Geekbench Multi-Core
Passmark CPU Scores
| BENCHMARK | SCORE |
|---|---|
Mark | 20085 |
Compression | 252141 |
Encryption | 7216 |
Extended Instructions | 17438 |
Floating Point Maths | 47566 |
Integer Maths | 59087 |
Physics | 2831 |
Prime Numbers | 186 |
Single Threaded | 2262 |
String Sorting | 34879 |
Passmark Memory Scores
| BENCHMARK | SCORE |
|---|---|
Memory Mark | 2234 |
Database Operations | 5284 |
Memory Latency | 69 |
Memory Read Cached | 22174 |
Memory Read Uncached | 11180 |
Memory Write | 8353 |
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
Alternatives
Servers of the Same Family
| INSTANCE | vCPUs | MEMORY | GPUs |
|---|---|---|---|
| vcg-a40-1c-5g-2vram | 1 | 5 GiB | 1⁄24 |
| vcg-a40-2c-10g-4vram | 2 | 10 GiB | 1⁄12 |
| vcg-a16-2c-8g-2vram | 2 | 8 GiB | ⅛ |
| vcg-a16-2c-16g-4vram | 2 | 16 GiB | ¼ |
| vcg-a16-3c-32g-8vram | 3 | 32 GiB | ½ |
| vcg-a40-4c-20g-8vram | 4 | 20 GiB | ⅙ |
| vcg-a40-6c-30g-12vram | 6 | 30 GiB | ¼ |
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