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256 GB OF SYSTEM MEMORY.
The configuration shown uses 4 × 64 GB ECC DIMMs, adding up to 256 GB of system memory.
More memory.
More headroom.
Built for serious workloads. ⚡️
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. ⚡️
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. ⚡️
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. ⚡️
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. ⚡️
⚡️ GPU POWER.
4 GPUs. 192 GB OF GPU MEMORY.
If the VX-04 is configured with 4× NVIDIA L40S GPUs, that adds up to 192 GB of total GPU memory.
That’s some serious compute power. ⚡️
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 what’s next. ⚡️
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. ⚡️
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.