A unified platform for properly understanding raw information.
DenseMax Pro 5U is a compact enterprise AI system built for organizations that demand high performance, reliability, and full data sovereignty. With up to 768GB of ultra-fast GDDR7 VRAM, it delivers sub-second latency and massive throughput for mission-critical workloads.
Preloaded with open-weight LLMs, AI apps, and templates, it enables instant deployment of copilots, chatbots, and AI agents across departments. Secure, scalable, and Blackwell-optimized, DenseMax Pro 5U integrates seamlessly with enterprise tools to accelerate your AI journey with predictable costs and enterprise-grade monitoring.
With Densemax Pro, enterprises offers:
Pre-Built Intelligence – Comes with carefully selected open-weight LLMs, AI apps, and ready-to-use templates to jumpstart deployment.
Maximum Throughput – Optimized for heavy multi-user LLM inference and training.
Enterprise Security – Encrypted storage, secure boot, and role-based access control.
Flexible Multi-Tenancy – Serve multiple teams and workloads from one appliance.
Integrated Monitoring – Real-time dashboards for performance and resource usage.
Seamless Integration – Works with existing CRMs, ERPs, and enterprise tools.
Fine-Tuning Ready – Built-in support for LoRA, QLoRA, and reinforcement fine-tuning.
Scalable Architecture – Designed to grow with evolving AI demands.
Cost Efficiency – Eliminate unpredictable cloud expenses with a fixed-cost model.
Reliability by Design – Industrial-grade components tested for mission-critical use.
In a world where AI is becoming a corebusiness driver, Densemax Pro delivers the foundation for secure, scalable, and future-ready AI infrastructure.
Complete Plug & Play AI solution for enterprises Simple integration into AI applications, development frameworks, and workflows.
Integrated security and guardrails.
Audit, monitoring and observability.
Optimized inferencing and finetuning engine.
Carefully chosen, up-to-date models.
Up to 8x GPU cards:
NVIDIA RTX PRO 6000 96GB
Up to 768GB GDDR7 VRAM
Deploy AI agents that take actions across internal systems, apps, and APIs — ideal for process automation, research, and task orchestration.
Run inference and fine-tuning on data that cannot leave your infrastructure.
Tailor models to domain-specific language, tone, and behavior using internal datasets — all managed through a low-code UI.
Connect models to CRMs, ERPs, ticketing systems, document stores, or proprietary UIs for AI-native productivity.
Serve different departments (e.g., legal, HR, marketing) from the same appliance with isolated, parallel model deployments.
Use internal feedback and usage data to fine-tune and improve models regularly — keeping performance aligned with evolving needs.
Rapidly test prompts, tune configurations, and evaluate model behavior without reliance on cloud costs or vendor limitations.
Avoid unpredictable usage-based cloud pricing. Run unlimited inference and fine-tuning workloads on a fixedcost platform, eliminating API costs and reducing TCO over time.
Serve different departments (e.g., legal, HR, marketing) from the same appliance with isolated, parallel model deployments.
Start faster with carefully selected open-weight LLMs, AI apps, and ready-to-use templates — deploy copilots, chatbots, and assistants instantly.
2x AMD Epyc 9005, 9004 or 97x4 processors
24x DDR5 ECC RDIMM slots
8x PCIe5 x16 GPU slots
up to 8x NVIDIA RTX PRO 6000 Blackwell GPUs
up to 768 GB GDDR7 VRAM, 1.8 TB/s memory bandwidth
5x 2000W industrial-grade PSU
2x Intenal PCle3.0x4 M.2 NVMe Slots
4x U.2 PCIe5.0x4 NVMe slots
2x PCle5.0x8 slots for networking, can be merged into 1x PCle5.0x16
Front I/O with IPMI port and 2x 1GbE RJ45
Operation temperature: 10°C - 35°C / Non operation temperature: -40°C ~70°C
Non operation humidity: 20% - 90% (Non condensing)
1x DB15 VGA port
4 Type-A (USB3.2 Gen1)
Automatic Prefix Caching
Disaggregated Prefilling
Reinforcement Fine-Tuning (RFT)
Speculative Decoding
Prefill and Decoding (PD) Disaggregation
Parallel Inference with multi-GPU, multi-Node sharding
Structured Outputs
Tool and Function Calling
Weight Quantization: AutoAWQ, GPTQ, BitsAndBytes, INT4 W4A16, INT8 W8A8,FP8 W8A8 (edited)
KV Cache Quantization: FP8