
Gigabyte B343-C40 Blade Server
3U, 10 nodes, AMD EPYC 4005 & Ryzen 9000, 20-bay Gen5 NVMe/SATA
View on NeweggMax compute per U
Multiple server nodes in a shared chassis to maximize compute per rack unit and reduce power, space and cabling.

Dense
Many independent nodes in one enclosure.
Efficient
Shared power and cooling lower overhead per node.
Scalable
Add nodes as capacity needs grow.
Why High-Density Servers
Pack more cores into less rack space for scale-out workloads.
Shared power supplies and fans reduce cost and energy per node.
Fewer cables and components to install and maintain.
Each node runs its own OS and workload for flexible deployment.
Use Cases
Cloud & hosting
Deliver more customer instances per rack.
HPC clusters
Build dense compute clusters for research and simulation.
Telecom core
Run network functions on standard, dense compute.
Product Lineup

3U, 10 nodes, AMD EPYC 4005 & Ryzen 9000, 20-bay Gen5 NVMe/SATA
View on Newegg

Exact specifications vary by model and brand.
| Tier | Workloads | Form factor | Processor | Max memory | Storage / expansion |
|---|---|---|---|---|---|
| 2-node | Small clusters, GPU inference | 1U, 2 nodes | 1 CPU per node | Per node | GPU per node (select models) |
| Blade | Cloud, hosting, HPC | 3U, 10 nodes | 1 CPU per node | Per node | Shared NVMe/SATA bays |
| Rack-scale | Large scale-out deployments | Multiple enclosures | 1–2 CPUs per node | Per node | Shared networking |
Buy online, or request a volume quote through Newegg Business.
When rack space or power is limited and workloads scale out across many identical nodes, such as cloud, hosting or HPC.
Nodes are independent, but they share chassis power and cooling. Redundant power supplies reduce that risk.
Higher density means more heat per rack. Plan airflow and power per rack before deployment.

GPU-accelerated platforms purpose-built for artificial intelligence, generative AI and high performance computing.

Enterprise-grade rack servers with the performance, reliability and manageability that modern data centers demand.

Compact, efficient compute that processes data where it is created — from retail stores and factories to cell sites.