vcg-a40-1c-5g-2vram by Vultr
(All-cores)
(Single-core)
Specifications
Server Metadata
Vendor ID | vultr |
Name | vcg-a40-1c-5g-2vram |
Description | Cloud GPU (1 vCPUs, 5.0 GiB RAM, 90 GB NVMe, 0.0417xA40 48 GiB VRAM) |
Family | Cloud GPU |
Hw Virt | |
Average Time To Start | 84.86 |
Status | active |
Observed At | 2026-07-20T18:54:12.459100 |
Availability
| REGION / ID | SPOT | ONDEMAND |
|---|---|---|
Bangalore (IN) / blr | - | 0.075 USD/h |
New Jersey (US) / ewr | - | 0.075 USD/h |
Frankfurt (DE) / fra | - | 0.075 USD/h |
Los Angeles (US) / lax | - | 0.075 USD/h |
London (GB) / lhr | - | 0.075 USD/h |
Tokyo (JP) / nrt | - | 0.075 USD/h |
Processor
vCPUs | 1 |
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 | 32 KiB |
CPU L1I Cache | 32 KiB |
CPU L1I Cache Total | 32 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, 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 |
Scalability | 100 |
System Resources and Accelerators
| MEMORY | |
|---|---|
Memory Amount | 5 GiB |
Memory Amount Actual | 5 GiB |
| GPU | |
|---|---|
GPU Count | 0.0417 |
GPU Memory Min | 2 GiB |
GPU Memory Total | 2 GiB |
GPU Manufacturer | NVIDIA |
GPU Family | Ampere |
GPU Model | A40 |
GPUs |
| STORAGE | |
|---|---|
Storage Size | 90 GB |
Storage Type | nvme ssd |
Storages |
| NETWORK | |
|---|---|
Inbound Traffic | 0 GB/month |
Outbound Traffic | 3072 GB/month |
IPv4 | 1 |
CPU and System Topology
Server Description
A budget-friendly fractional GPU instance delivering accelerated performance for lightweight machine learning inference and prototyping workloads.
Vultr vcg-a40-1c-5g-2vram is a fractional GPU instance designed for lightweight accelerated workloads. It features a single shared Intel x86_64 vCPU running at 2.0 GHz, 5.0 GB of system memory, and a 90 GB NVMe SSD. The instance is equipped with a fractional slice of an NVIDIA Ampere A40 GPU, providing 2 GB of VRAM. While general CPU and memory benchmarks are weak, the instance excels in small-scale AI tasks. It achieves top-tier performance in LLM inference for small 135M models, processing prompts at 9,931.92 tokens per second. This profile offers a cost-effective entry point for GPU-accelerated development, prototyping, and small-scale model inference, though it is not suitable for resource-intensive database operations or multi-threaded CPU workloads.
Economics
Performance
Memory Bandwidth
Compression
OpenSSL
Passmark CPU Scores
| BENCHMARK | SCORE |
|---|---|
Mark | 1849 |
Compression | 21138 |
Encryption | 591 |
Extended Instructions | 1318 |
Floating Point Maths | 3978 |
Integer Maths | 4843 |
Physics | 260 |
Prime Numbers | 15 |
Single Threaded | 2066 |
String Sorting | 2853 |
Passmark Memory Scores
| BENCHMARK | SCORE |
|---|---|
Memory Mark | 1409 |
Database Operations | 978 |
Memory Latency | 54 |
Memory Read Cached | 21768 |
Memory Read Uncached | 11171 |
Memory Write | 10338 |
LLM Inference Speed for Prompt Processing
LLM Inference Speed for Text Generation
Static Web Server
Redis
Alternatives
Servers of the Same Family
| INSTANCE | vCPUs | MEMORY | GPUs |
|---|---|---|---|
| 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 |
| vcg-a16-6c-64g-16vram | 6 | 64 GiB | 1 |
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