ecs.c6r.16xlarge by Alibaba Cloud
(All-cores)
(Single-core)
Specifications
Server Metadata
Vendor ID | alicloud |
Name | ecs.c6r.16xlarge |
Description | ecs.c6r family (64 vCPUs, 128 GiB RAM, 0 GB storage) |
Family | ecs.c6r |
Hw Virt | |
Average Time To Start | 19 |
Status | active |
Observed At | 2026-10-06T01:09:14.196294 |
Availability
| REGION / ID | SPOT | ONDEMAND |
|---|---|---|
Beijing (CN) / cn-beijing | - | 1.5436 USD/h |
Hangzhou (CN) / cn-hangzhou | - | 1.5436 USD/h |
Shanghai (CN) / cn-shanghai | - | 1.5436 USD/h |
Shenzhen (CN) / cn-shenzhen | - | 1.5436 USD/h |
Frankfurt (DE) / eu-central-1 | - | 2.1964 USD/h |
Singapore (SG) / ap-southeast-1 | - | 2.6946 USD/h |
Processor
vCPUs | 64 |
Hypervisor | KVM |
CPU Allocation | Dedicated |
CPU Speed | 2.8 GHz |
CPU Architecture | arm64 |
CPU Manufacturer | Ampere |
CPU Family | Ampere Altra |
CPU Model | Ampere Altra |
CPU Flags | fp, asimd, evtstrm, aes, pmull, sha1, sha2, crc32, atomics, fphp, asimdhp, cpuid, asimdrdm, lrcpc, dcpop, asimddp, ssbs |
Ecpus | 63.9 |
Scalability | 99.84 |
System Resources and Accelerators
| MEMORY | |
|---|---|
Memory Amount | 128 GiB |
Memory Amount Actual | 128 GiB |
| GPU | |
|---|---|
GPU Count | 0 |
GPU Memory Min | 0 MiB |
GPU Memory Total | 0 MiB |
GPUs |
| STORAGE | |
|---|---|
Storage Size | 0 GB |
Storages |
| NETWORK | |
|---|---|
Network Speed Baseline | 16 Gbps |
Inbound Traffic | 0 GB/month |
Outbound Traffic | 0 GB/month |
IPv4 | 0 |
CPU and System Topology
Server Description
An arm64 compute-optimized instance delivering high-density multi-core performance and strong database throughput for parallelized workloads.
Alibaba Cloud ecs.c6r.16xlarge is a compute-optimized instance featuring 64 dedicated arm64 vCPUs powered by an Ampere Altra processor running at 2.8 GHz, paired with 128.0 GB of RAM. Operating on the KVM hypervisor, this instance provides a 1:2 vCPU-to-RAM ratio, 16 Gbps baseline network bandwidth, and no local storage or GPU accelerators. Benchmark data reveals strong multi-core performance, with a stress-ng multi-core score of 114,420.62 and a highly efficient Redis SET throughput of 84.36 million operations per second. Conversely, single-threaded decompression tasks show weaker performance. This hardware profile offers a cost-efficient, high-density ARM alternative for parallel processing, making it well-suited for multi-threaded workloads, web serving, caching layers, and containerized microservices.
Economics
Performance
Memory Bandwidth
Compression
OpenSSL
Passmark CPU Scores
| BENCHMARK | SCORE |
|---|---|
Mark | 32171 |
Compression | 355426 |
Encryption | 10382 |
Extended Instructions | 47799 |
Floating Point Maths | 230464 |
Integer Maths | 303647 |
Physics | 2300 |
Prime Numbers | 215 |
Single Threaded | 1333 |
String Sorting | 200973 |
Passmark Memory Scores
| BENCHMARK | SCORE |
|---|---|
Memory Mark | 1966 |
Database Operations | 4623 |
Memory Latency | 67 |
Memory Read Cached | 11390 |
Memory Read Uncached | 8696 |
Memory Write | 15027 |
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 |
|---|---|---|---|
| ecs.c6r.large | 2 | 4 GiB | 0 |
| ecs.c6r.xlarge | 4 | 8 GiB | 0 |
| ecs.c6r.2xlarge | 8 | 16 GiB | 0 |
| ecs.c6r.4xlarge | 16 | 32 GiB | 0 |
| ecs.c6r.8xlarge | 32 | 64 GiB | 0 |
Similar Servers
| INSTANCE | VENDOR | vCPUs | MEMORY | GPUs |
|---|