Groq, Aljammaz Partner to Accelerate AI Inference in the Middle East

Groq, creator of the world’s fastest AI inference technology, and Aljammaz Technologies, the Middle East’s leading Technology Value-Added Distributor, have announced a strategic partnership to bring Groq’s groundbreaking Language Processing Unit (LPU) technology to enterprises, governments, and developers across the MENA region. The companies will debut their collaboration at GITEX Global 2025, October 13-17 at the Dubai World Trade Centre.
The partnership addresses a critical inflection point in AI adoption: as organizations move from experimentation to production deployment, inference speed, cost, and energy efficiency have emerged as defining constraints. Groq’s LPU technology—purpose-built for AI inference rather than adapted from graphics processing—enables a new class of real-time AI applications that were previously impractical with traditional GPU architectures.
“The Middle East is experiencing unprecedented demand for AI solutions across every sector, from financial services to healthcare to smart city initiatives,” said Fahad AlTurief, VP and MENAT Managing Director at Groq. “Aljammaz Technologies brings unmatched regional expertise and channel reach. Together, we’re positioned to help organizations throughout MENAT harness AI’s full potential without the latency and cost barriers that have historically limited deployment.”
Under the partnership, Aljammaz Technologies will distribute Groq’s complete portfolio of AI inference solutions across its extensive network of system integrators, value-added resellers throughout Saudi Arabia and the broader Middle East. This includes both GroqCloud—Groq’s full-stack cloud platform for fast, production-ready inference—and GroqRack compute clusters for organizations requiring on-premises AI infrastructure.
The collaboration combines Groq’s technical innovation with Aljammaz’s 29 years of experience delivering advanced technology solutions to the region’s most demanding enterprises. Aljammaz currently serves the financial, industrial, education, telecommunications, hospitality, healthcare, government, and SMB sectors through partnerships with global technology leaders including Dell Technologies, HPE, Cisco, and Alibaba Cloud.
“For almost 30 years, AlJammaz Technologies has been driving innovation and enabling our partners across the Kingdom of Saudi Arabia and the wider Middle East to adopt cutting-edge technologies,” said Asim Aljammaz, CEO of AlJammaz Technologies. “As AI moves from experimentation to real-world implementation, our mission is to empower partners with the infrastructure, expertise, and ecosystem support needed to unlock its full potential. Partnering with Groq perfectly aligns with our AI-First strategy and strengthens our ability to deliver AI-ready solutions that make high-performance, real-time applications achievable and sustainable across industries.”
The global AI industry is projected to reach $4.8 trillion by 2033, with inference workloads consuming far more compute resources than training as models move into production. Traditional GPU architectures, designed for graphics processing and repurposed for AI training, face inherent bottlenecks when running inference workloads at scale.
Groq designed the LPU from first principles specifically for AI inference, with architectural innovations including:
- Ultra-low latency: Delivering hundreds of tokens per second, enabling truly conversational AI and real-time applications
- Predictable performance: Software-defined architecture ensures consistent execution regardless of batch size or workload variability
- Energy efficiency: Up to 10x better power efficiency than GPU-based approaches, addressing sustainability and operational cost concerns
- Economic scalability: Competitive pricing combined with superior performance changes the ROI equation for production AI deployments
These capabilities unlock use cases across the MENA region’s priority sectors: Arabic language processing with near-instant response times, intelligent customer service for financial institutions, medical imaging analysis in healthcare, real-time threat detection for cybersecurity, and Arabic-optimized AI assistants for government services.