CBM combines the elasticity of a virtual machine and the stable and strong computing performance of a physical machine. It can be integrated seamlessly with all Tencent Cloud products such as networks and databases, making it widely applicable in big data, high-performance computing, cloud gaming, and many more fields. CBM helps you quickly build dedicated and isolated physical machine clusters in the cloud, making it an ideal choice for those seeking for ultimate performance.
When you create a CBM instance, the instance type you specify determines its server hardware configuration. The computing, memory, and storage features vary by instance type. You can select an appropriate instance type based on the scale of your application to be deployed. These instances consist of different combinations of CPU, memory, storage, heterogeneous hardware, and network bandwidth, so you can flexibly select appropriate resources for your applications.
Instance Limits
The total number of instances that can be started in a region is limited. For more information, see Purchase Limits.
Limits on system and data disks that can be mounted to an instance: To ensure premium disk I/O performance, Tencent Cloud sets limits on the size and type of data disks purchased with an instance. For more information, see the disks supplied with the corresponding instance family. You can also purchase separate cloud disks if you have higher disk requirements.
Note that the private network bandwidth capacity of an instance specification is the private network bandwidth cap of the corresponding instance. If the private network traffic exceeds this limit, random packet loss may occur within the private network of your instances.
The available instance specifications may vary by region. Certain configurations may be sold out, subject to the information on the purchase page.
The numbers of sent/received packets mentioned in this document are the results of the network forwarding test. For more information on the testing method, see Network Performance Test. Separate testing is needed to estimate the performance for your business.
Instances fall into different types based on the business scenario.
Standard Instance
Standard instances provide a balance of compute, memory, and network resources to accommodate most applications.
Standard BMS6
Standard BMS6 instances are the latest Intel standard instances built on the new-gen elastic bare metal architecture. They provide superior computing, network, and storage performance. They have no virtualization loss in terms of computing performance and support nested virtualization.
Note:
This instance type is currently made available through an allowlist. To purchase it, contact your channel manager for application.
Use cases
Standard BMS6 instances are applicable to the following use cases:
Third-party hypervisor application and hybrid cloud deployment
Enterprise applications of different types and sizes
Medium-sized and large database systems, caches, and search clusters
Scenarios where high numbers of massive network packets are sent and received, such as on-screen comments, live streaming, and game servers
Video encoding/decoding, video rendering, and other applications sensitive to single-core performance
Hardware specification
High-performance computing services featuring high reliability, security, and stability are provided based on the Star Lake servers developed by Tencent Cloud.
CPU: 2.7 GHz Intel® Xeon® Ice Lake processor, with a Max Turbo frequency of 3.4 GHz.
Memory: Eight-channel DDR4.
Storage: Cloud disks can be used as system and data disks and expanded on demand.
Network: The private network bandwidth of up to 100 Gbps is supported, with strong packet sending/receiving capabilities. You can purchase the public network bandwidth as needed. ENI mounting is supported.
We recommend you use the instance together with the TencentOS Server operating system to enjoy the best application performance.
Specification | vCPU | Memory (GiB) | Clock Rate/Max Clock (GHz) | Packets In/Out (PPS) | Number of Queues | Private Network Bandwidth Capacity (Gbps) | Supported ENIs (Including Primary ENIs) |
BMS6 | 152 | 512 | 2.7/3.4 | 45 million | 32 | 100 | 32 |
Standard BMSA3
Standard BMSA3 instances are the latest AMD standard instances built on the new-gen elastic bare metal architecture. They provide superior computing, network, and storage performance. They have no virtualization loss in terms of computing performance and support nested virtualization.
Note:
This instance type is currently made available through an allowlist. To purchase it, contact your channel manager for application.
Use cases
Standard BMSA3 instances are applicable to the following use cases:
Third-party hypervisor application and hybrid cloud deployment
Enterprise applications of different types and sizes
Medium-sized and large database systems, caches, and search clusters
Scenarios where high numbers of massive network packets are sent and received, such as on-screen comments, live streaming, and game servers
Video encoding/decoding, video rendering, and other applications sensitive to single-core performance
Hardware specification
High-performance computing services featuring high reliability, security, and stability are provided based on the Star Lake servers developed by Tencent Cloud.
CPU: 2.55 GHz AMD EPYC™ Milan processor, with a Max Boost frequency of 3.5 GHz.
Memory: Eight-channel DDR4.
Storage: Cloud disks can be used as system and data disks and expanded on demand.
Network: The private network bandwidth of up to 100 Gbps is supported, with strong packet sending/receiving capabilities. You can purchase the public network bandwidth as needed. ENI mounting is supported.
We recommend you use the instance together with the TencentOS Server operating system to enjoy the best application performance.
Specification | vCPU | Memory (GiB) | Clock Rate/Max Clock (GHz) | Packets In/Out (PPS) | Number of Queues | Private Network Bandwidth Capacity (Gbps) | Supported ENIs (Including Primary ENIs) |
BMSA3 | 256 | 512 | 2.55/3.5 | 30 million | 32 | 100 | 32 |
Standard BMSA3m
Standard BMSA3m instances are the latest AMD standard instances built on the new-gen elastic bare metal architecture. They provide superior computing, network, and storage performance. They have no virtualization loss in terms of computing performance and support nested virtualization.
Note:
This instance type is currently made available through an allowlist. To purchase it, contact your channel manager for application.
Use cases
Standard BMSA3m instances are applicable to the following use cases:
Third-party hypervisor application and hybrid cloud deployment
Enterprise applications of different types and sizes
Medium-sized and large database systems, caches, and search clusters
Scenarios where high numbers of massive network packets are sent and received, such as on-screen comments, live streaming, and game servers
Video encoding/decoding, video rendering, and other applications sensitive to single-core performance
Hardware specification
High-performance computing services featuring high reliability, security, and stability are provided based on the Star Lake servers developed by Tencent Cloud.
CPU: 2.55 GHz AMD EPYC™ Milan processor, with a Max Boost frequency of 3.5 GHz.
Memory: Eight-channel DDR4.
Storage: Cloud disks can be used as system and data disks and expanded on demand.
Network: The private network bandwidth of up to 100 Gbps is supported, with strong packet sending/receiving capabilities. You can purchase the public network bandwidth as needed. ENI mounting is supported.
We recommend you use the instance together with the TencentOS Server operating system to enjoy the best application performance.
Specification | vCPU | Memory (GiB) | Clock Rate/Max Clock (GHz) | Packets In/Out (PPS) | Number of Queues | Private Network Bandwidth Capacity (Gbps) | Supported ENIs (Including Primary ENIs) |
BMSA3m | 256 | 1024 | 2.55/3.5 | 30 million | 32 | 100 | 32 |
Standard BMSA2
Standard BMSA2 instances are the latest AMD standard instances built on the new-gen elastic bare metal architecture. They provide superior computing, network, and storage performance. They have no virtualization loss in terms of computing performance and support nested virtualization.
Use cases
Standard BMSA2 instances are applicable to the following use cases:
Enterprise applications of different types and sizes
Medium-sized and large database systems, caches, and search clusters
Scenarios that require sending and receiving massive network packets, such as on-screen video comments, live video broadcasting, and gaming
Video encoding/decoding, video rendering, and other applications sensitive to single-core performance
Hardware specification
High-performance computing services featuring high reliability, security, and stability are provided based on the Star Lake servers developed by Tencent Cloud.
CPU: 2.6 GHz AMD EPYC™ ROME processor, with a Max Boost frequency of 3.3 GHz.
Memory: Eight-channel DDR4.
Storage: Cloud disks can be used as system and data disks and expanded on demand.
Network: The private network bandwidth of up to 40 Gbps is supported, with strong packet sending/receiving capabilities. You can purchase the public network bandwidth as needed. ENI mounting is supported.
We recommend you use the instance together with the TencentOS Server operating system to enjoy the best application performance.
Specification | vCPU | Memory (GiB) | Clock Rate/Max Clock (GHz) | Packets In/Out (PPS) | Number of Queues | Private Network Bandwidth Capacity (Gbps) | Supported ENIs (Including Primary ENIs) |
BMSA2 | 192 | 512 | 2.6/3.3 | 12 million | 32 | 40 | 32 |
Standard BMS5
Standard BMS5 instances are the latest Intel standard instances built on the new-gen BM architecture. They provide superior computing, network, and storage performance. They have no virtualization loss in terms of computing performance and support nested virtualization.
Use cases
Standard BMS5 instances are applicable to the following use cases:
Enterprise applications of different types and sizes
Small and medium-sized database systems, caches, and search clusters
Scenarios that require sending and receiving massive network packets, such as on-screen video comments, live video broadcasting, and gaming
Video encoding/decoding, video rendering, and other applications sensitive to single-core performance
Hardware specification
High-performance computing services featuring high reliability, security, and stability are provided based on the Star Lake servers developed by Tencent Cloud.
CPU: 2.6 GHz Intel® Xeon® Cooper Lake processor, with a Max Turbo frequency of 3.2 GHz.
Memory: Six-channel DDR4.
Storage: Cloud disks can be used as system and data disks and expanded on demand.
Network: The private network bandwidth of up to 40 Gbps is supported, with strong packet sending/receiving capabilities. You can purchase the public network bandwidth as needed. ENI mounting is supported.
We recommend you use the instance together with the TencentOS Server operating system to enjoy the best application performance.
Specification | vCPU | Memory (GiB) | Clock Rate/Max Clock (GHz) | Packets In/Out (PPS) | Number of Queues | Private Network Bandwidth Capacity (Gbps) | Supported ENIs (Including Primary ENIs) |
BMS5 | 208 | 768 | 2.6/3.2 | 12 million | 32 | 40 | 32 |
Memory Optimized Instance
Memory Optimized instances feature large memory and are suitable for applications that require extensive memory operations, searches, and computing, such as high-performance databases and distributed memory caching.
Memory Optimized BMM5c
Memory Optimized BMM5c instances are the latest Intel memory instances built on the new-gen elastic bare metal architecture. They provide superior computing, network, and storage performance. They have no virtualization loss in terms of computing performance and support nested virtualization. They guarantee quick and stable performance for workloads processing large data sets in the memory. The processor to memory ratio is 1:14, the ideal choice for large-memory computing applications.
Note:
This instance type is currently made available through an allowlist. To purchase it, contact your channel manager for application.
Use cases
Memory Optimized BMM5c instances are applicable to the following use cases:
Applications that require extensive memory operations, searches, and computing, such as high-performance databases and distributed memory caching
External Hadoop clusters or Redis for fields such as computational genomics
Scenarios that require sending and receiving massive network packets, such as on-screen video comments, live video broadcasting, and gaming
Hardware specification
High-performance computing services featuring high reliability, security, and stability are provided based on the Star Lake servers developed by Tencent Cloud.
CPU: 2.6 GHz Intel® Xeon® Cooper Lake processor, with an all-core Max Turbo frequency of 3.2 GHz.
Memory: Six-channel DDR4 with stable computing performance.
Storage: Cloud disks can be used as system and data disks and expanded on demand.
Network: The private network bandwidth of up to 40 Gbps is supported, with strong packet sending/receiving capabilities. You can purchase the public network bandwidth as needed. ENI mounting is supported.
We recommend you use the instance together with the TencentOS Server operating system to enjoy the best application performance.
Specification | vCPU | Memory (GiB) | Clock Rate/Max Clock (GHz) | Packets In/Out (PPS) | Number of Queues | Private Network Bandwidth Capacity (Gbps) | Supported ENIs (Including Primary ENIs) |
BMM5c | 208 | 3072 | 2.6/3.2 | 12 million | 32 | 40 | 32 |
Memory Optimized BMM5
Memory Optimized BMM5 instances are a new generation of Intel memory instances built on the network virtualization technology of Tencent Cloud. They have packet sending/receiving capabilities of up to 10 million PPS over the private network and support up to 25 Gbps of private network bandwidth. They guarantee quick and stable performance for workloads processing large data sets in the memory. The processor to memory ratio is 1:16, the ideal choice for large-memory computing applications.
Note:
This instance type is currently made available through an allowlist. To purchase it, contact your channel manager for application.
Use cases
Memory Optimized BMM5 instances are applicable to the following use cases:
Applications that require extensive memory operations, searches, and computing, such as high-performance databases and distributed memory caching
External Hadoop clusters or Redis for fields such as computational genomics
Hardware specification
CPU: 2.5 GHz Intel® Xeon® Cascade Lake processor, with a Max Turbo frequency of 3.1 GHz.
Memory: Six-channel DDR4.
Storage: 2 * 480 GB SATA SSD (RAID1) local system disks and 2 * 3,840 GB NVMe SSD high-performance local storage.
Network: The private network bandwidth of up to 25 Gbps is supported, with strong packet sending/receiving capabilities. You can purchase the public network bandwidth as needed.
Specification | vCPU | Memory (GiB) | Clock Rate/Max Clock (GHz) | Packets In/Out (PPS) | Number of Queues | Private Network Bandwidth Capacity (Gbps) | Local Storage |
BMM5 | 96 | 1536 | 2.5/3.1 | 10 million | 16 | 25 | 2 * 480 GB SATA SSD (RAID1) and 2 * 3,840 GB NVMe SSD |
Memory Optimized BMM5r
Memory Optimized BMM5r instances are Intel memory instances built on the network virtualization technology of Tencent Cloud. They have packet sending/receiving capabilities of up to 10 million PPS over the private network and support up to 25 Gbps of private network bandwidth. They guarantee quick and stable performance for workloads processing large data sets in the memory. The processor to memory ratio is 1:8, the ideal choice for large-memory computing applications.
Use cases
Memory Optimized BMM5r instances are applicable to the following use cases:
Applications that require extensive memory operations, searches, and computing, such as high-performance databases and distributed memory caching
External Hadoop clusters or Redis for fields such as computational genomics
Hardware specification
CPU: 2.5 GHz Intel® Xeon® Cascade Lake processor, with a Max Turbo frequency of 3.1 GHz.
Memory: Six-channel DDR4.
Storage: 2 * 480 GB SATA SSD (RAID1) local system disks and 2 * 3,840 GB NVMe SSD high-performance local storage.
Network: The private network bandwidth of up to 25 Gbps is supported, with strong packet sending/receiving capabilities. You can purchase the public network bandwidth as needed.
Specification | vCPU | Memory (GiB) | Clock Rate/Max Clock (GHz) | Packets In/Out (PPS) | Number of Queues | Private Network Bandwidth Capacity (Gbps) | Local Storage |
BMM5r | 96 | 768 | 2.5/3.1 | 10 million | 16 | 25 | 2 * 480 GB SATA SSD (RAID1) and 2 * 3,840 GB NVMe SSD |
High I/O Instance
High I/O instances feature high random IOPS, high throughput and low latency and are well-suited for I/O-intensive applications that require high disk read/write performance and low latency, such as high-performance databases.
High I/O BMIA2
High I/O BMIA2 instances are the latest AMD high I/O instances built on the new-gen elastic bare metal architecture. They provide superior computing, network, and storage performance. They have no virtualization loss in terms of computing performance and support nested virtualization. Based on NVMe SSD storage, they come with storage resources featuring a low latency, an ultra high IOPS, and a high throughput, making them suitable for I/O-intensive applications such as high-performance relational databases and Elasticsearch.
Use cases
High I/O BMIA2 instances are applicable to the following use cases:
High-performance databases, NoSQL databases (e.g. MongoDB), and clustered databases
I/O-intensive applications that require a low latency, such as Elasticsearch
Big data applications with storage-computing separation
Hardware specification
High-performance computing services featuring high reliability, security, and stability are provided based on the Star Lake servers developed by Tencent Cloud.
CPU: 2.6 GHz AMD EPYC™ ROME processor, with a Max Boost frequency of 3.3 GHz.
Memory: Eight-channel DDR4 with stable computing performance.
Storage: 4 * 3,840 GB NVMe SSD high-performance local storage. Cloud disks can be used as system and data disks and expanded on demand.
Network: The private network bandwidth of up to 40 Gbps is supported, with strong packet sending/receiving capabilities. You can purchase the public network bandwidth as needed. ENI mounting is supported.
We recommend you use the instance together with the TencentOS Server operating system to enjoy the best application performance.
Specification | vCPU | Memory (GiB) | Clock Rate/Max Clock (GHz) | Packets In/Out (PPS) | Number of Queues | Private Network Bandwidth Capacity (Gbps) | Supported ENIs (Including Primary ENIs) | Local Storage |
BMIA2 | 192 | 512 | 2.6/3.3 | 12 million | 32 | 40 | 32 | 4 * 3,840 GB NVMe SSD |
High I/O BMIA2m
High I/O BMIA2m instances are the latest AMD high I/O instances built on the new-gen BM architecture. They provide superior computing, network, and storage performance. They have no virtualization loss in terms of computing performance and support nested virtualization. Based on NVMe SSD storage, they come with storage resources featuring a low latency, an ultra high IOPS, and a high throughput, making them suitable for I/O-intensive applications such as high-performance relational databases and Elasticsearch.
Note:
This instance type is currently made available through an allowlist. To purchase it, contact your channel manager for application.
Use cases
High I/O BMIA2m instances are applicable to the following use cases:
High-performance databases, NoSQL databases (e.g. MongoDB), and clustered databases
I/O-intensive applications that require a low latency, such as Elasticsearch
Big data applications with storage-computing separation
Hardware specification
High-performance computing services featuring high reliability, security, and stability are provided based on the Star Lake servers developed by Tencent Cloud.
CPU: 2.6 GHz AMD EPYC™ ROME processor, with a Max Boost frequency of 3.3 GHz.
Memory: Eight-channel DDR4 with stable computing performance.
Storage: 4 * 3,840 GB NVMe SSD high-performance local storage. Cloud disks can be used as system and data disks and expanded on demand.
Network: The private network bandwidth of up to 40 Gbps is supported, with strong packet sending/receiving capabilities. You can purchase the public network bandwidth as needed. ENI mounting is supported.
We recommend you use the instance together with the TencentOS Server operating system to enjoy the best application performance.
Specification | vCPU | Memory (GiB) | Clock Rate/Max Clock (GHz) | Packets In/Out (PPS) | Number of Queues | Private Network Bandwidth Capacity (Gbps) | Supported ENIs (Including Primary ENIs) | Local Storage |
BMIA2m | 192 | 1024 | 2.6/3.3 | 12 million | 32 | 40 | 32 | 4 * 3,840 GB NVMe SSD |
High I/O BMI5
High I/O BMI5 instances, based on NVMe SSD storage, are designed for I/O-intensive workloads. They come with storage resources featuring a low latency, an ultra high IOPS, and a high throughput, making them suitable for I/O-intensive applications such as high-performance relational databases and Elasticsearch.
Use cases
High I/O BMI5 instances are applicable to the following use cases:
High-performance databases, NoSQL databases (e.g. MongoDB), and clustered databases
I/O-intensive applications that require a low latency, such as Elasticsearch
Big data applications with storage-computing separation
Hardware specification
CPU: 2.5 GHz Intel® Xeon® Cascade Lake processor, with a Max Turbo frequency of 3.1 GHz.
Memory: Six-channel DDR4.
Storage: 2 * 480 GB SATA SSD (RAID1) local system disks and 2 * 3,840 GB NVMe SSD high-performance local storage.
Network: The private network bandwidth of up to 25 Gbps is supported, with strong packet sending/receiving capabilities. You can purchase the public network bandwidth as needed.
Specification | vCPU | Memory (GiB) | Clock Rate/Max Clock (GHz) | Packets In/Out (PPS) | Number of Queues | Private Network Bandwidth Capacity (Gbps) | Local Storage |
BMI5 | 96 | 384 | 2.5/3.1 | 10 million | 16 | 25 | 2 * 480 GB SATA SSD (RAID1) and 2 * 3,840 GB NVMe SSD |
Big Data Instance
The big data family is equipped with massive storage resources, features high throughput, and is suitable for throughput-intensive applications such as Hadoop distributed computing, massive log processing, distributed file systems, and large data warehouses.
Big Data BMDA2
Big Data BMDA2 instances are the latest AMD instances built on the new-gen elastic bare metal architecture. They provide superior computing, network, and storage performance. They have no virtualization loss in terms of computing performance and support nested virtualization. Equipped with a high throughput and massive local storage resources, they are suitable for throughput-intensive applications such as Hadoop distributed computing and parallel data processing.
Use cases
Distributed computing services such as Hadoop MapReduce, HDFS, Hive, and HBase
Workloads such as Elasticsearch, log processing, and large data warehouse
Customers in the Internet, finance, and industries that require big data computing and storage analysis, as well as workloads that require massive data storage and computing
Hardware specification
High-performance computing services featuring high reliability, security, and stability are provided based on the Star Lake servers developed by Tencent Cloud.
CPU: 2.6 GHz AMD EPYC™ ROME processor, with a Max Boost frequency of 3.3 GHz.
Memory: Eight-channel DDR4 with stable computing performance.
Storage: 12 * 16,000 GB SATA HDD and 1 * 3,840 GB NVMe SSD massive local storage. Cloud disks can be used as system and data disks and expanded on demand.
Network: The private network bandwidth of up to 40 Gbps is supported, with strong packet sending/receiving capabilities. You can purchase the public network bandwidth as needed. ENI mounting is supported.
We recommend you use the instance together with the TencentOS Server operating system to enjoy the best application performance.
Specification | vCPU | Memory (GiB) | Clock Rate/Max Clock (GHz) | Packets In/Out (PPS) | Number of Queues | Private Network Bandwidth Capacity (Gbps) | Local Storage |
BMDA2 | 192 | 512 | 2.6/3.3 | 12 million | 32 | 40 | 12 * 16,000 GB SATA HDD and 1 * 3,840 GB NVMe SSD |
Big Data BMD3
Big Data BMD3 instances are the latest big data instances built on the network virtualization technology of Tencent Cloud. They have packet sending/receiving capabilities of up to 10 million PPS over the private network and support up to 25 Gbps of private network bandwidth. Equipped with a high throughput and massive storage resources, they are suitable for throughput-intensive applications such as Hadoop distributed computing and parallel data processing.
Use cases
Distributed computing services such as Hadoop MapReduce, HDFS, Hive, and HBase
Workloads such as Elasticsearch, log processing, and large data warehouse
Customers in the Internet, finance, and industries that require big data computing and storage analysis, as well as workloads that require massive data storage and computing
Hardware specification
CPU: 2.5 GHz Intel® Xeon® Cascade Lake processor, with a Max Turbo frequency of 3.1 GHz.
Memory: Six-channel DDR4 with stable computing performance.
Storage: 2 * 480 GB SATA SSD (RAID1) local system disks and 12 * 12,000 GB SATA HDD massive local storage.
Network: The private network bandwidth of up to 25 Gbps is supported, with strong packet sending/receiving capabilities. You can purchase the public network bandwidth as needed.
Specification | vCPU | Memory (GiB) | Clock Rate/Max Clock (GHz) | Packets In/Out (PPS) | Number of Queues | Private Network Bandwidth Capacity (Gbps) | Local Storage |
BMD3 | 96 | 384 | 2.5/3.1 | 10 million | 16 | 25 | 2 * 480 GB SATA SSD (RAID1) and 12 * 12,000 GB SATA HDD |
GPU Compute Instance
GPU Compute instances are equipped with heterogeneous GPU to deliver real-time, fast parallel computing and floating point computing capabilities. They are suitable for high-performance applications such as deep learning, scientific computing, video encoding/decoding, and graphics workstations.
Note:
To use NVIDIA GPU instances for general computing tasks, you need to install the Tesla driver and CUDA toolkit. For more information, see Installing NVIDIA Driver and Installing CUDA Driver.
To use NVIDIA GPU instances for 3D rendering tasks such as high-performance graphics processing and video encoding/decoding, you need to install a GRID driver and configure a license server.
GPU Compute BMGNV4
GPU Compute BMGNV4 instances are equipped with the latest NVIDIA®Tesla® A10 GPU. They support not only general GPU computing tasks such as deep learning and scientific computing, but also graphics and image processing tasks such as 3D rendering and video encoding/decoding. They have no computing performance loss, support nested virtualization, and provide fast, stable, and elastic computing services.
Use cases
GPU Compute BMGNV4 instances are applicable to the following use cases:
Graphic and image processing
Video encoding and decoding
Graph database
They are also applicable to deep learning inference and small-scale training scenarios, such as:
AI inference for mass deployment
Small-scale deep learning training
Hardware specification
The high-density accelerator card is provided based on the Star Lake GPU servers developed by Tencent Cloud, which is extremely cost-effective.
CPU: 3.4 GHz Intel® Xeon® Cooper Lake high-clock rate processor, with a Max Turbo frequency of 3.8 GHz.
GPU: 16 * NVIDIA® Tesla® A10 GPU (31.2 TFLOPS of single-precision floating point performance, 250 TOPS for INT8, and 500 TOPS for INT4).
Memory: Six-channel DDR4 with stable computing performance.
Storage: 2 * 480 GB SATA SSD and 4 * 3,840 GB NVMe SSD high-performance local storage.
Network: The private network bandwidth of up to 25 Gbps is supported, with strong packet sending/receiving capabilities. You can purchase the public network bandwidth as needed.
Specification | vCPU | Memory (GiB) | Clock Rate/Max Clock (GHz) | GPU | GPU Video Memory | Packets In/Out (PPS) | Number of Queues | Private Network Bandwidth Capacity (Gbps) | Local Storage |
BMGNV4 | 208 | 768 | 3.4/3.8 | 16 * NVIDIA A10 | 16 * 24 GB | 10 million | 16 | 25 | 2 * 480 GB SATA SSD and 4 * 3,840 GB NVMe SSD |
GPU Compute BMG5t
GPU Compute BMG5t instances are equipped with NVIDIA®Tesla® T4 GPU. They support not only general GPU computing tasks such as deep learning and scientific computing, but also graphics and image processing tasks such as 3D rendering and video encoding/decoding. They have no computing performance loss, support nested virtualization, and provide fast, stable, and elastic computing services.
Use cases
GPU Compute BMG5t instances are applicable to the following use cases:
Graphic and image processing
Video encoding and decoding
Graph database
They are also applicable to deep learning inference and small-scale training scenarios, such as:
AI inference for mass deployment
Small-scale deep learning training
Hardware specification
CPU: 2.5 GHz Intel® Xeon® Cascade Lake processor, with a Max Turbo frequency of 3.1 GHz.
GPU: 4 * NVIDIA® Tesla® T4 GPU (8.1 TFLOPS of single-precision floating point performance, 130 TOPS for INT8, and 260 TOPS for INT4).
Memory: Six-channel DDR4.
Storage: 2 * 480 GB SATA SSD (RAID1) local system disks.
Network: The private network bandwidth of up to 25 Gbps is supported, with strong packet sending/receiving capabilities. You can purchase the public network bandwidth as needed.
Specification | vCPU | Memory (GiB) | Clock Rate/Max Clock (GHz) | GPU | GPU Video Memory | Packets In/Out (PPS) | Number of Queues | Private Network Bandwidth Capacity (Gbps) | Local Storage |
BMG5t | 96 | 384 | 2.5/3.1 | 4 * NVIDIA T4 | 4 * 16 GB | 10 million | 16 | 25 | 2 * 480 GB SATA SSD (RAID1) |
GPU Compute BMG5v
GPU Compute BMG5v instances are equipped with NVIDIA®Tesla® V100 NVLink® 32 GB. They support not only general GPU computing tasks such as deep learning and scientific computing, but also graphics and image processing tasks such as 3D rendering and video encoding/decoding. They have no computing performance loss, support nested virtualization, and provide fast, stable, and elastic computing services.
Note:
This instance type is currently made available through an allowlist. To purchase it, contact your channel manager for application.
Use cases
GPU Compute BMG5v instances are applicable to large-scale deep learning training and inference as well as scientific computing scenarios, such as:
Deep learning
Computational fluid dynamics
Molecular modeling
Genomics and others
They are also applicable to graphics and image processing scenarios, such as:
Graphic and image processing
Video encoding and decoding
Graph database
Hardware specification
CPU: 2.5 GHz Intel® Xeon® Cascade Lake processor, with a Max Turbo frequency of 3.1 GHz.
GPU: 8 * NVIDIA® Tesla® V100 GPU (15.7 TFLOPS of single-precision floating point performance, 7.8 TFLOPS of double-precision floating point performance, 125 TFLOPS of deep learning accelerator performance with Tensor cores, and 300 GB/s NVLink®).
Memory: Six-channel DDR4.
Storage: 1 * 480 GB SATA SSD local system disk and 4 * 3,200 GB NVMe SSD high-performance local storage.
Network: The private network bandwidth of up to 25 Gbps is supported, with strong packet sending/receiving capabilities. You can purchase the public network bandwidth as needed.
Specification | vCPU | Memory (GiB) | Clock Rate/Max Clock (GHz) | GPU | GPU Video Memory | Packets In/Out (PPS) | Number of Queues | Private Network Bandwidth Capacity (Gbps) | Local Storage |
BMG5v | 96 | 384 | 2.5/3.1 | 8 * NVIDIA V100 | 8 * 32 GB | 10 million | 16 | 25 | 1 * 480 GB SATA SSD and 4 * 3,200 GB NVMe SSD |
Other Available Instances
Note:
If the following instances are sold out, we recommend you select new-gen ones in the same family.
Standard BMS4
Standard BMS4 instances are equipped with the latest Xeon® Skylake processors and DDR4 memory. They use Tencent Cloud's proprietary network virtualization technology, offering packet sending/receiving capabilities of up to 10 million PPS over the private network and up to 25 Gbps of private network bandwidth. They have no computing performance loss and support nested virtualization.
Use cases
Standard BMS4 instances are applicable to the following use cases:
Enterprise applications of different types and sizes
Small and medium-sized database systems, caches, and search clusters
Scenarios that require sending and receiving massive network packets, such as on-screen video comments, live video broadcasting, and gaming
Hardware specification
CPU: 2.4 GHz Intel® Xeon® Skylake 6148 processor, with a Max Turbo frequency of 3.0 GHz.
Memory: Six-channel DDR4.
Storage: 2 * 480 GB SATA SSD (RAID1) local system disks and 10 * 480 GB SATA SSD (RAID50) local data disks.
Network: The private network bandwidth of up to 25 Gbps is supported, with strong packet sending/receiving capabilities. You can purchase the public network bandwidth as needed.
Specification | vCPU | Memory (GiB) | Packets In/Out (PPS) | Number of Queues | Private Network Bandwidth Capacity (Gbps) | Clock Rate | Local Storage |
BMS4 | 80 | 384 | 10 million | 16 | 25 | 2.4 GHz | 2 * 480 GB SATA SSD (RAID1) and 10 * 480 GB SATA SSD (RAID50) |
Big Data BMD3s
Big Data BMD3s instances are equipped with a high throughput and massive storage resources and built on the network virtualization technology of Tencent Cloud. They have packet sending/receiving capabilities of up to 10 million PPS over the private network and support up to 25 Gbps of private network bandwidth. They are suitable for throughput-intensive applications such as Hadoop distributed computing and parallel data processing.
Use cases
Distributed computing services such as Hadoop MapReduce, HDFS, Hive, and HBase
Workloads such as Elasticsearch, log processing, and large data warehouse
Customers in the Internet, finance, and industries that require big data computing and storage analysis, as well as workloads that require massive data storage and computing
Hardware specification
CPU: 2.5 GHz Intel® Xeon® Cascade Lake processor, with a Max Turbo frequency of 3.1 GHz.
Memory: Six-channel DDR4.
Storage: 2 * 480 GB SATA SSD (RAID1) local system disks, 12 * 12,000 GB SATA HDD, and 1 * 3,840 GB NVMe SSD massive local storage.
Network: The private network bandwidth of up to 25 Gbps is supported, with strong packet sending/receiving capabilities. You can purchase the public network bandwidth as needed.
Specification | vCPU | Memory (GiB) | Packets In/Out (PPS) | Number of Queues | Private Network Bandwidth Capacity (Gbps) | Clock Rate | Local Storage |
BMD3s | 96 | 192 | 10 million | 16 | 25 | 2.5 GHz | 2 * 480 GB (RAID1) SATA SSD, 12 * 12,000 GB SATA HDD, and 1 * 3,840 GB NVMe SSD |
Big Data BMD2
Big Data BMD2 instances are equipped with a high throughput and massive storage resources and built on the network virtualization technology of Tencent Cloud. They have packet sending/receiving capabilities of up to 10 million PPS over the private network and support up to 25 Gbps of private network bandwidth. They are suitable for throughput-intensive applications such as Hadoop distributed computing and parallel data processing.
Use cases
Distributed computing services such as Hadoop MapReduce, HDFS, Hive, and HBase
Workloads such as Elasticsearch, log processing, and large data warehouse
Customers in the Internet, finance, and industries that require big data computing and storage analysis, as well as workloads that require massive data storage and computing
Hardware specification
CPU: 2.4 GHz Intel® Xeon® Skylake 6148 processor, with a Max Turbo frequency of 3.0 GHz.
Memory: Six-channel DDR4.
Storage: 2 * 480 GB SATA SSD (RAID1) local system disks and 12 * 12,000 GB SATA HDD massive local storage.
Network: The private network bandwidth of up to 25 Gbps is supported, with strong packet sending/receiving capabilities. You can purchase the public network bandwidth as needed.
Specification | vCPU | Memory (GiB) | Packets In/Out (PPS) | Number of Queues | Private Network Bandwidth Capacity (Gbps) | Clock Rate | Local Storage |
BMD2 | 80 | 384 | 10 million | 16 | 25 | 2.4 GHz | 2 * 480 GB (RAID1) SATA SSD and 12 * 12,000 GB SATA HDD |
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