Redefining AI Compute with RISC-V
SABZEH designs revolutionary AI processors built on open-source RISC-V architecture, delivering flexible, cost-effective alternatives to proprietary GPUs. Our dual hardware and IP licensing model empowers enterprises and sovereign nations to achieve true computational independence.
The NOVA-1 represents a paradigm shift in AI silicon design. Built entirely on the open-source RISC-V instruction set architecture, this processor delivers unprecedented flexibility for machine learning inference and training workloads. Unlike proprietary alternatives locked into vendor-specific ecosystems, NOVA-1 provides complete architectural transparency, enabling deep customization for specialized AI applications.
Engineered by a legendary chip architect with decades of experience at leading semiconductor companies, NOVA-1 incorporates advanced tensor processing units optimized for transformer architectures, large language models, and computer vision applications. The processor features a novel memory hierarchy designed specifically for the irregular access patterns common in neural network operations, achieving superior bandwidth utilization compared to conventional GPU architectures.
The semiconductor industry stands at a crossroads. For decades, proprietary instruction set architectures have dominated computing, creating dependencies and limiting innovation. SABZEH embraces RISC-V, the revolutionary open-standard instruction set architecture that is transforming how processors are designed, manufactured, and deployed worldwide.
Our engineers leverage the inherent flexibility of RISC-V to create AI-optimized extensions that deliver superior performance for machine learning workloads. By building on an open foundation, we eliminate licensing barriers and enable our customers to customize processors for their specific requirements without the constraints imposed by proprietary architectures.
This approach represents more than a technical choice; it embodies a philosophy of technological sovereignty. Nations and enterprises can audit our designs, verify security implementations, and maintain complete control over their computational infrastructure. In an era of increasing geopolitical complexity, this transparency becomes not just advantageous but essential.
Open architecture. Unlimited potential. Complete freedom to innovate without boundaries.
Silicon engineered for the AI era
Flagship AI Accelerator
Our flagship AI processor designed for data center deployment. NOVA-1 delivers exceptional performance for large language model inference, computer vision, and recommendation systems. Built on 5nm process technology with advanced tensor cores and high-bandwidth memory interface, this processor handles the most demanding AI workloads with industry-leading efficiency. The architecture supports mixed-precision computing, enabling optimal performance across INT8, FP16, and BF16 operations while maintaining accuracy for sensitive applications.
Edge AI Processor
Optimized for edge deployment scenarios where power efficiency and compact form factor are paramount. NOVA-E brings data center-class AI capabilities to edge locations including manufacturing floors, retail environments, autonomous vehicles, and smart infrastructure. The processor features an innovative power management architecture that enables dynamic scaling between high-performance and ultra-low-power modes, adapting to workload demands in real-time while maximizing battery life in portable applications.
Training Accelerator
Purpose-built for AI model training at scale. NOVA-T features massive parallel processing capability and optimized interconnects for multi-chip configurations. The processor supports efficient distributed training across thousands of chips, enabling organizations to train foundation models and specialized AI systems without dependence on proprietary cloud infrastructure. Advanced memory architecture provides the capacity and bandwidth essential for training billion-parameter models efficiently.
Engineering excellence at every layer
At the heart of every SABZEH processor lies our custom RISC-V core implementation, featuring out-of-order execution, advanced branch prediction, and deep speculation. Our cores implement the complete RV64GC instruction set along with proprietary extensions optimized for AI workloads. The core complex includes dedicated vector processing units implementing the RISC-V Vector extension with custom enhancements for matrix operations, delivering exceptional throughput for the mathematical operations fundamental to neural network computation.
Our proprietary Tensor Processing Array delivers massive parallel computation for AI workloads. Unlike conventional matrix multiplication units, our TPA implements a novel dataflow architecture that minimizes data movement and maximizes compute utilization. The array supports dynamic precision scaling, automatically selecting optimal numerical formats based on workload characteristics. Sparsity acceleration provides additional performance gains for models with sparse weight matrices, increasingly common in modern efficient architectures.
Memory bandwidth and capacity represent critical bottlenecks for AI workloads. SABZEH processors feature an innovative memory hierarchy designed specifically for neural network access patterns. Our architecture employs large on-chip SRAM buffers with intelligent prefetching that anticipates data requirements based on model structure analysis. The external memory interface supports HBM3 and LPDDR5X technologies, providing flexibility for different deployment scenarios from power-constrained edge devices to bandwidth-hungry data center accelerators.
Hardware excellence requires software that unleashes its full potential. SABZEH provides a comprehensive open-source software stack that integrates seamlessly with popular AI frameworks. Our compiler technology automatically optimizes models for our architecture, handling operator fusion, memory allocation, and precision selection without manual intervention. The runtime system provides efficient scheduling across heterogeneous compute resources, maximizing utilization while minimizing latency for real-time inference applications.
Our system-level architecture enables efficient scaling from single-chip deployments to massive multi-rack installations. The chip-to-chip interconnect fabric provides low-latency, high-bandwidth communication essential for distributed AI workloads. Native support for collective operations including all-reduce, all-gather, and broadcast enables efficient gradient synchronization during training without CPU involvement.
Integration with standard infrastructure through PCIe 5.0 and CXL 2.0 interfaces ensures compatibility with existing data center equipment while providing a migration path to next-generation memory-centric architectures. The management processor handles system monitoring, firmware updates, and security functions independent of the main compute fabric.
Deploy and serve transformer-based language models with exceptional throughput and low latency. Our architecture is optimized for attention mechanisms and the memory-intensive operations that define modern LLM inference, enabling cost-effective deployment of models ranging from efficient 7B parameter systems to massive 70B+ configurations.
Process high-resolution images and video streams in real-time with our vision-optimized tensor cores. Applications include autonomous vehicle perception, industrial quality inspection, medical imaging analysis, and security surveillance. Native support for common vision architectures including CNNs, Vision Transformers, and hybrid models.
Power personalization at scale with optimized embedding lookups and neural collaborative filtering. Our processors handle the massive embedding tables and real-time inference demands of modern recommendation engines serving millions of concurrent users with sub-millisecond response times for e-commerce, media streaming, and social platforms.
Enable natural voice interfaces and audio intelligence with low-latency speech recognition, text-to-speech synthesis, and audio analysis. Perfect for voice assistants, transcription services, content moderation, and accessibility applications requiring real-time audio processing with high accuracy.
Establish national AI infrastructure with complete technological sovereignty. Our open architecture enables full security auditing, domestic manufacturing partnerships, and independence from foreign technology supply chains. Governments and critical infrastructure operators gain assurance that their AI systems operate without hidden vulnerabilities or external dependencies.
Accelerate quantitative analysis, fraud detection, and algorithmic trading with deterministic low-latency inference. Our processors meet the stringent requirements of financial applications including regulatory compliance, audit trails, and the microsecond-level timing precision essential for competitive trading operations.
Advance medical diagnosis, drug discovery, and genomic analysis with processors designed for healthcare's unique requirements. Our architecture supports the regulatory compliance, data privacy, and accuracy demands of medical AI applications from radiology imaging to personalized medicine and clinical decision support.
Accelerate research in physics, chemistry, climate modeling, and other scientific domains. Our processors excel at the neural network surrogate models increasingly used to accelerate simulations, as well as traditional scientific workloads benefiting from our high-performance vector processing capabilities.
Beyond our own processor products, SABZEH licenses our RISC-V and AI intellectual property to companies seeking to develop custom silicon solutions. Our IP portfolio enables semiconductor companies, system integrators, and enterprises to create differentiated AI products without the multi-year investment typically required to develop advanced processor architectures from scratch.
Licensing customers receive complete RTL source code, verification environments, and software development kits along with dedicated engineering support. We offer flexible licensing models ranging from standard IP blocks to fully customized implementations tailored to specific application requirements.
Gain complete control over your AI infrastructure with fully auditable, open-source architecture. Eliminate dependencies on proprietary ecosystems and foreign technology supply chains. Our transparent designs enable national security applications and critical infrastructure deployment with confidence.
Reduce total cost of ownership with processors designed for efficiency at every level. No licensing fees, competitive pricing, and superior performance-per-dollar deliver significant savings compared to incumbent solutions. Our open software stack eliminates vendor lock-in and enables operational flexibility.
Tailor processors to your exact requirements with our open architecture. Whether through IP licensing for custom silicon development or application-specific optimizations of our standard products, SABZEH provides the flexibility to build precisely the AI infrastructure your applications demand.
Benefit from our leadership team's decades of experience at the forefront of semiconductor innovation. Our legendary chip architect brings a proven track record of delivering breakthrough processor designs that define industry performance standards. This expertise translates into products that exceed expectations.
Achieve superior AI performance with processors engineered specifically for machine learning workloads. Our architecture delivers industry-leading TOPS per watt efficiency and absolute throughput, enabling deployments that meet the most demanding performance requirements while minimizing operational costs.
Integrate seamlessly with your existing AI workflows through our comprehensive open-source software ecosystem. Native support for PyTorch, TensorFlow, and ONNX ensures compatibility with the tools your teams already use, while our optimizing compiler and runtime maximize hardware utilization automatically.
Whether you're interested in our AI processors for deployment, IP licensing for custom silicon development, or exploring partnership opportunities, our team is ready to discuss how SABZEH can accelerate your AI initiatives. Reach out to start the conversation.