SABZEH designs revolutionary AI accelerators on RISC-V, the open-source instruction set architecture. We deliver flexible, cost-effective alternatives to proprietary GPUs with complete architectural transparency.
The semiconductor industry stands at a crossroads. For decades, proprietary instruction set architectures have dominated computing, creating dependencies that limit innovation and compromise strategic autonomy.
SABZEH embraces RISC-V, the revolutionary open-standard ISA transforming how processors are designed, manufactured, and deployed. Our AI-optimized extensions deliver superior performance for machine learning workloads while eliminating licensing barriers that constrain traditional silicon.
This approach enables organizations to audit designs, verify security implementations, and maintain complete control over their computational infrastructure. In an era of increasing geopolitical complexity, this transparency is not just advantageous but essential.
Nations and enterprises gain complete visibility into processor design. No hidden backdoors, no opaque licensing terms, no dependency on foreign intellectual property. Audit every transistor decision and verify security at the silicon level.
Eliminate perpetual licensing fees and royalty payments that inflate total cost of ownership. RISC-V's open foundation means you invest in performance, not in architectural access. Reduce silicon costs by 40-60% compared to proprietary alternatives.
Standard GPUs force workloads into fixed architectures. SABZEH processors can be tailored to specific AI applications, from transformer inference to computer vision pipelines. Optimize at the instruction level for your unique requirements.
Data Center AI Accelerator
Our flagship processor designed for large-scale AI deployment. NOVA-1 delivers exceptional throughput for LLM inference, recommendation systems, and computer vision at data center scale.
Edge AI Processor
Optimized for edge deployment where power efficiency and compact form factor are critical. Bring data center-class AI capabilities to manufacturing floors, retail, and autonomous systems.
Training Accelerator
Purpose-built for AI model training at scale. Massive parallel processing and optimized multi-chip interconnects enable efficient distributed training without proprietary cloud lock-in.
RISC-V provides the open foundation; SABZEH provides the AI intelligence. Our engineering team has developed custom vector extensions and tensor processing units specifically designed for neural network operations.
Explore Our TechnologyPurpose-built RISC-V extensions for matrix multiplication, convolution, and attention mechanisms. Native support for INT8, FP16, and BF16 precision formats used in modern AI workloads.
Novel cache architecture designed for the irregular access patterns of neural networks. Achieves 85% bandwidth utilization compared to 40-50% typical in conventional GPU architectures.
Native support for distributed computing across thousands of processors. 800Gbps chip-to-chip interconnects enable linear scaling for training workloads up to billion-parameter models.
Hardware-level encryption, secure boot, and isolated execution environments. Every design decision is auditable, enabling verification for sensitive government and enterprise deployments.
High-throughput inference for conversational AI, content generation, and enterprise knowledge systems.
Real-time object detection, image classification, and video analytics for security and automation.
Sensor fusion and decision-making for robotics, drones, and self-driving vehicles.
Personalization at scale for e-commerce, media streaming, and content platforms.
Drug discovery, climate modeling, and materials science simulations powered by AI.
Fraud detection, algorithmic trading, and risk assessment with real-time inference.
Medical imaging analysis, diagnostic assistance, and patient outcome prediction.
National AI infrastructure with complete transparency and supply chain control.
Whether you need production silicon, IP licensing, or custom processor development, our team is ready to discuss how SABZEH can address your AI compute requirements.