GPU Fleet & Specifications

Purpose-built configurations for AI training, inference, and professional visualization

Workstation-Class Cluster

Sapience RTX 6000 Blackwell Edition(8-GPU)

Optimized for: Agentic AI, Multi-App Workflows, and Professional Visualization

"The Ultimate Workstation-Class Cluster"

Feature	Performance Metric	Why It Matters
Total VRAM	768 GB GDDR7	Run massive 3D scenes and local LLM fine-tuning without sharding.
Compute Power	32 PFLOPS (FP4)	3x faster AI processing than previous generation for rapid prototyping.
Memory Speed	14.3 TB/s (Aggregate)	Zero-bottleneck data movement for high-resolution neural rendering.
Interface	PCIe Gen 5.0	2x faster CPU-to-GPU data transfers for massive datasets.

GPU:8x NVIDIA RTX 6000 Blackwell (96GB GDDR7 each)

CPU:Dual 144-Core AI Training Engines

Networking:400G High-Speed Fabric for multi-node scaling

Form Factor:4U Rackmount optimized for air-cooling

AI Factory Standard

Optimized for: Large-Scale LLM Training, Foundation Models, and Massive Inference

"The AI Factory Standard"

Feature	Performance Metric	Why It Matters
Total VRAM	2.3 TB HBM3e	Fit a 70B parameter model in FP16 on a single node with 100GB+ KV cache spare.
Total Compute	120 PFLOPS (FP4)	The world's fastest inference engine; first-class support for ultra-low latency FP4.
Interconnect	1.8 TB/s NVLink	GPUs talk to each other at the speed of local memory for seamless parallelization.
Networking	1.6 Tb/s Fabric	ConnectX-8 ready. Doubles inter-node bandwidth for massive cluster scaling.

Platform:NVIDIA HGX B300 (Blackwell Ultra)

GPU:8x B300 SXM5 GPUs (288GB HBM3e each)

System RAM:2 TB DDR5-8000 (MRDIMM)

Power:High-density 3000W redundant power architecture (Titanium Grade)

Our team will help you choose the right GPU platform for your workload and budget