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256 GB OF SYSTEM MEMORY.
The configuration shown uses 4 ร 64 GB ECC DIMMs, adding up to 256 GB of system memory.
More memory.
More headroom.
Built for serious workloads. โก๏ธ
NVIDIA L40S-CLASS COMPUTE.
Velyxnode references the NVIDIA L40S as the accelerator in its Component Study.
Serious GPU power for AI, HPC, and compute-intensive workloads. โก๏ธ
SERVER-GRADE AT THE CORE.
Velyxnode is built around an SP5 server CPU platform in the configuration shown.
Server-grade foundation. Built for serious compute. โก๏ธ
THE CPU COORDINATES. THE ACCELERATORS COMPUTE.
The CPU handles the host and coordination layer, while the GPUs take on the heavy computational workloads.
Different roles. One powerful system. โก๏ธ
NOT JUST A GPU. A COMPLETE COMPUTE SYSTEM.
Velyxnode brings the full setup together: CPU, RAM, GPUs, storage, cooling, and power supply.
Not just raw GPU power. The entire compute stack. โก๏ธ
โก๏ธ GPU POWER.
4 GPUs. 192 GB OF GPU MEMORY.
If the VX-04 is configured with 4ร NVIDIA L40S GPUs, that adds up to 192 GB of total GPU memory.
Thatโs some serious compute power. โก๏ธ
Explore the technology, vision, ecosystem, and everything being built around VelyNode.
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BUILT FOR THE AGE OF AI.
High-performance GPU accelerators make VX-04 a natural fit for AI and HPC workloads.
Big compute. Real hardware. Built for whatโs next. โก๏ธ
BIG COMPUTE. BUILT DIFFERENT.
VX-04 is designed as a high-performance computing rig, featuring a server-grade setup and high-capacity accelerators.
Built for serious compute. โก๏ธ
Velyxnode / VX-04 is positioning itself at the intersection of HPC, AI compute, and high-end GPU servers, with a potential Web3/decentralized compute layer in the mix.
AI infrastructure + GPUs + Web3 is definitely an interesting combo.