vcg-a40-12c-60g-24vram by Vultr
(All-cores)
(Single-core)
Specifications
Server Metadata
Vendor ID | vultr |
Name | vcg-a40-12c-60g-24vram |
Description | Cloud GPU (12 vCPUs, 60.0 GiB RAM, 1110 GB NVMe, 0.5xA40 48 GiB VRAM) |
Family | Cloud GPU |
Hw Virt | |
Average Time To Start | 172 |
Status | active |
Observed At | 2026-07-20T13:40:44.473198 |
Availability
| REGION / ID | SPOT | ONDEMAND |
|---|
Processor
vCPUs | 12 |
CPU Allocation | Shared |
CPU Cores | 6 |
CPU Speed | 2 GHz |
CPU Architecture | x86_64 |
CPU Manufacturer | Intel |
CPU Family | Xeon |
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, 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, ssbd, ibrs, ibpb, ibrs_enhanced, fsgsbase, bmi1, avx2, smep, bmi2, erms, invpcid, avx512f, avx512dq, clflushopt, clwb, avx512cd, avx512bw, avx512vl, xsaveopt, arat, pku, ospke, avx512_vnni, arch_capabilities |
Ecpus | 12.6 |
Scalability | 210 |
System Resources and Accelerators
| MEMORY | |
|---|---|
Memory Amount | 60 GiB |
Memory Amount Actual | 60 GiB |
| GPU | |
|---|---|
GPU Count | 0.5 |
GPU Memory Min | 24 GiB |
GPU Memory Total | 24 GiB |
GPU Manufacturer | NVIDIA |
GPU Family | Ampere |
GPU Model | A40 |
GPUs |
| STORAGE | |
|---|---|
Storage Size | 1110 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 fractional GPU instance balancing a half-slice NVIDIA A40 GPU with shared Intel Xeon compute and local NVMe storage.
Vultr vcg-a40-12c-60g-24vram is a Cloud GPU server featuring a fractional NVIDIA A40 GPU with 24 GB of VRAM, paired with 12 shared Intel Xeon vCPUs running at 2.0 GHz. The system includes 60.0 GB of system memory and 1110 GB of local NVMe SSD storage. Benchmark results show average performance across most categories, including a stress-ng multi-core score of 20624.31 and a PassMark CPU score of 20613.93. LLM inference benchmarks reveal a clear tradeoff: the server processes small 135M models efficiently at 1048.4 tokens/sec for prompts, but performance drops to a weak 23.45 tokens/sec for medium 7B model prompts. This instance provides a cost-efficient entry point for GPU-accelerated workloads, making it suitable for small-scale machine learning inference, database operations, and general-purpose applications requiring moderate GPU acceleration and local NVMe storage.
Economics
Performance
Memory Bandwidth
Compression
OpenSSL
Passmark CPU Scores
| BENCHMARK | SCORE |
|---|---|
Mark | 20614 |
Compression | 261673 |
Encryption | 7232 |
Extended Instructions | 22214 |
Floating Point Maths | 45296 |
Integer Maths | 59181 |
Physics | 2910 |
Prime Numbers | 185 |
Single Threaded | 2262 |
String Sorting | 35593 |
Passmark Memory Scores
| BENCHMARK | SCORE |
|---|---|
Memory Mark | 2521 |
Database Operations | 5564 |
Memory Latency | 55 |
Memory Read Cached | 22540 |
Memory Read Uncached | 10794 |
Memory Write | 10616 |
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-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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