Shared NVMe Storage
Keep models, datasets, and checkpoints in one high-speed shared data layer—no copies, no silos.
Build, test, and validate private AI without the upfront cost of data-center GPUs. VIVIBIT connects shared all-flash storage, high-speed networking, and scalable AI compute in one ready-to-deploy platform.
AI Software Ecosystem Ready
ENGINEERED FOR LOCAL AI
Keep models, datasets, and checkpoints in one high-speed shared data layer—no copies, no silos.
Four 50GbE links provide 200GbE of aggregate bandwidth for fast access to shared models and datasets. E1005 Pro delivers up to 1 Tbps of switching capacity for larger AI clusters.
Four GB10-powered nodes deliver up to 4 PFLOPS of combined AI compute and 512GB of unified memory. For more demanding workloads, the E1005 Pro delivers up to 10 PFLOPS of AI compute.
Test RAG, LoRA, and inference workflows locally. Validate privately. Scale to H100 or B300 infrastructure when ready.
VIVIBIT AI HARDWARE
Build, test, and validate private AI on your own data and existing compute—before investing in data-center GPUs. Private RAG · LoRA Fine-Tuning · AI for Science · Model Development & Testing
Explore VIVIBIT Hardware →Private RAG
Build secure search and AI assistants on internal knowledge—without sending sensitive data to third-party clouds.
LoRA Fine-Tuning
Start with a single DGX Spark at 1 PFLOP or a vBlade at 2 PFLOPS. Scale to four DGX Spark systems with 512GB of aggregate unified memory and 4 PFLOPS—or five vBlades with up to 10 PFLOPS.
AI for Science
Build AI workflows around scientific data without moving valuable research assets to external clouds.
Model Development & Testing
Prototype, benchmark, and prove AI workflows on existing compute before committing to data-center GPUs.
*Indicative 8-GPU system pricing: H100 / H200 / B300 systems ≈ $210K–$530K. Vendor pricing varies by configuration.
*Aggregate figures are theoretical across four nodes. Usable scaling varies by workload and software.
*Based on VIVIBIT internal testing versus the reference configuration. Results vary by workload and environment.
THE VIVIBIT AI SERVICE
VIVIBIT provides paid deployment services for local AI search, RAG workflows, model environment setup, and team AI collaboration — built around your own data and infrastructure.
Paid setup for local AI environments, workflows, and validation.
Keep data, models, and AI workflows inside your own infrastructure.
Build private AI search and RAG workflows with your real data.
Set up users, storage paths, access rules, and collaboration workflows.
VIVIBIT is designed forplug-and-play simplicity.
All products are desktop-sized with a compact form factor, requiring no changes to your existing power, network, or cooling setup.
Devices come pre-configured with storage, networking, and AI software. Just plug in, power on, and follow the quick setup guide.
We also provideremote management and intelligent monitoring— hardware issues and capacity alerts are automatically flagged. No IT expertise needed.
And if you ever need help, our technical support team is just a call away.
VIVIBIT is not a traditional NAS, nor is it a public cloud solution. What VIVIBIT offers is a private, integrated, edge-optimized data infrastructure.
Traditional NAS primarily focuses on file storage with limited computing power, making it difficult to support AI inference or video rendering.
Public cloud platforms, while powerful in computing, require data to be uploaded, incur high long-term costs, and come with privacy and bandwidth limitations.
VIVIBIT integrates all-flash storage, high-performance computing, and high-speed networking into a single desktop device. Data remains fully on-premises, supporting real-time AI inference, 4K/8K video processing, and multi-user collaboration — all without the need for data center modifications or dedicated IT staff.
You can purchase through the following channels:
We support on-demand configuration (including different models in the E1001 and E1005 series, memory, storage expansion, etc.) and offer enterprise-grade warranty and technical support.
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