Recommended Hardware Configuration for SQream DB
SQream – NVIDIA® Tesla V100 PCIe
Examples: IBM AC922 POWER9, Dell R740, Dell R940xa, NVIDIA® DGX-1
SQream – NVIDIA® Tesla V100 NVLink
Examples: IBM AC922 POWER9, Dell EMC PowerEdge C4130
Chassis |
CPU |
RAM |
GPU |
|
Chassis capable of housing 2-4 NVIDIA Tesla GPUs |
Dual IBM POWER9 or Dual Intel Xeon Gold processor |
128 GB RAM per logical GPU |
NVIDIA Tesla GPU At least 2 NVIDIA Tesla series GPUs |
|
Examples: IBM AC922 POWER9, Dell R740, Dell R940xa, NVIDIA DGX-1, Cisco UCS C240 M4, HP DL380g10, Lenovo System x3650 M5, Supermicro SYS-2028U / 6028U |
Recommended: IBM Power9 with (16C) or Intel Xeon Gold 6150 (18C) |
Recommended: 512GB - 1024GB |
Recommended: 2, 4 or 6 NVIDIA Tesla V100 |
SQream – NVIDIA® Tesla V100 PCIe
- Server capable of housing 2-4 NVIDIA® Tesla GPUs
- PCIe 32GB/s bandwidth
- 1 Tesla V100 GPU per 2 users
- SQream recommends about 256GB of RAM per physical GPU
Examples: IBM AC922 POWER9, Dell R740, Dell R940xa, NVIDIA® DGX-1
SQream – NVIDIA® Tesla V100 NVLink
- Server capable of housing 2-4 NVIDIA® Tesla GPUs
- NVIDIA® NVLink 300GB/s bandwidth
- 1 Tesla V100 GPU per 2 users
- SQream recommends about 256GB of RAM per physical GPU
Examples: IBM AC922 POWER9, Dell EMC PowerEdge C4130
Suitable for - 50 Users, Up to 3PB in just 10U (Networking Included)
Independent Scaling of Storage and Compute
SQream DB can scale to unlimited data sizes, many data consumers, or both. Because compute is decoupled from storage, scaling is available for just storage, just compute, or both.
SQream DB has a shared-data architecture that enables independent scaling of storage and compute.
Independent Scaling of Storage and Compute
SQream DB can scale to unlimited data sizes, many data consumers, or both. Because compute is decoupled from storage, scaling is available for just storage, just compute, or both.
SQream DB has a shared-data architecture that enables independent scaling of storage and compute.