vcg-a40-2c-10g-4vram by Vultr
(All-cores)
(Single-core)
Specifications
Server Metadata
Vendor ID | vultr |
Name | vcg-a40-2c-10g-4vram |
Description | Cloud GPU (2 vCPUs, 10.0 GiB RAM, 180 GB NVMe, 0.0833xA40 48 GiB VRAM) |
Family | Cloud GPU |
Hw Virt | |
Average Time To Start | 80.67 |
Status | active |
Observed At | 2026-07-20T13:40:44.473026 |
Availability
| REGION / ID | SPOT | ONDEMAND |
|---|
Processor
vCPUs | 2 |
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 | 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 | 200 |
System Resources and Accelerators
| MEMORY | |
|---|---|
Memory Amount | 10 GiB |
Memory Amount Actual | 10 GiB |
| GPU | |
|---|---|
GPU Count | 0.0833 |
GPU Memory Min | 4 GiB |
GPU Memory Total | 4 GiB |
GPU Manufacturer | NVIDIA |
GPU Family | Ampere |
GPU Model | A40 |
GPUs |
| STORAGE | |
|---|---|
Storage Size | 180 GB |
Storage Type | nvme ssd |
Storages |
| NETWORK | |
|---|---|
Inbound Traffic | 0 GB/month |
Outbound Traffic | 4096 GB/month |
IPv4 | 1 |
CPU and System Topology
Server Description
A budget-friendly fractional GPU instance combining shared Intel processors with NVIDIA Ampere acceleration for lightweight model inference and development.
The Vultr vcg-a40-2c-10g-4vram is an entry-level Cloud GPU instance featuring 2 shared Intel x86_64 vCPUs, 10.0 GB of RAM, and 180 GB of NVMe SSD storage. It integrates a fractional NVIDIA Ampere A40 GPU (0.0833 allocation) with 4 GB of VRAM. Benchmark data indicates that while shared CPU performance, memory bandwidth, and database operations are weak, the instance delivers strong prompt processing speeds for small and medium language models. This resource profile provides a cost-efficient entry point for developers requiring GPU acceleration without the overhead of a dedicated card. It is highly suited for lightweight LLM inference, model prototyping, and GPU application testing.
Economics
Performance
Memory Bandwidth
Compression
OpenSSL
Passmark CPU Scores
| BENCHMARK | SCORE |
|---|---|
Mark | 3651 |
Compression | 42481 |
Encryption | 1186 |
Extended Instructions | 2743 |
Floating Point Maths | 7578 |
Integer Maths | 9613 |
Physics | 531 |
Prime Numbers | 30 |
Single Threaded | 2269 |
String Sorting | 5577 |
Passmark Memory Scores
| BENCHMARK | SCORE |
|---|---|
Memory Mark | 1735 |
Database Operations | 957 |
Memory Latency | 61 |
Memory Read Cached | 22516 |
Memory Read Uncached | 10381 |
Memory Write | 9696 |
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
| INSTANCE | vCPUs | MEMORY | GPUs |
|---|---|---|---|
| vcg-a40-1c-5g-2vram | 1 | 5 GiB | 1⁄24 |
| 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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