SynaXG מוכיחה את אמנות האפשרי עם AI-RAN מוגדר תוכנה מלאה על גבי NVIDIA AI Aerial
משיג ביצועי vRAN 5G ברמה הגבוהה ביותר ב-FR1 וב-FR2, עם תזמור חלק בין עומסי עבודה של בינה מלאכותית ו-RAN
ברצלונה, ספרד וסינגפור, 2 במרץ 2026 (GLOBE NEWSWIRE) –
SynaXG הודיעה היום על פריצות דרך טכנולוגיות משמעותיות ברשתות גישה לרדיו
מבוססות בינה מלאכותית, והדגימה פעולה מקבילה של עומסי עבודה
5G FR1, 5G FR2ובינה מלאכותית על פלטפורמת NVIDIA AI-RAN עם תזמור
GPU מונחה מדיניות בזמן אמת. התוצאות מאשרות כי RAN מבוסס תוכנה ומבוסס בינה
מלאכותית יכול לספק ביצועים ברמת ספק תקשורת ותפעול רציף 24/7, מוכן לפריסה
מסחרית.
SynaXG Proves the Art of the Possible with
Fully Software-Defined AI-RAN on NVIDIA AI Aerial
Achieves benchmark 5G vRAN performance on FR1
and FR2, with seamless orchestration between AI and RAN workloads
BARCELONA, Spain and
SINGAPORE, March 02, 2026 (GLOBE NEWSWIRE) –
SynaXG today
announced major technical breakthroughs in AI-native radio access networks,
demonstrating concurrent operation of 5G FR1, 5G FR2 and AI workloads on NVIDIA
AI-RAN platform with real-time, policy-driven GPU orchestration. The results
confirm that software-defined, AI-native RAN can deliver carrier-grade
performance and continuous 24x7 operation, ready for commercial deployment.
SynaXG achieved
carrier-grade 5G FR1 performance on a single NVIDIA GH200 platform.
The system simultaneously operated 20 x 100MHz 5G NR cells, delivering more
than 36Gbps of aggregated throughput with sub-10 millisecond latency, while
supporting up to 1,200 connected user equipment per cell. These results
validate that a fully software-defined AI-RAN running on accelerated computing
infrastructure can match the performance of best-in-class commercial 5G
deployments, while enabling AI workloads to run concurrently on the same shared
platform without compromising network KPIs.
SynaXG also
achieved the world’s first carrier-grade FR2 virtualized RAN implementation
running concurrently with FR1 and AI workloads on a shared GPU platform. The
system delivered high throughput with end-to-end latency as low as 5
milliseconds, meeting the performance requirements for dense urban and
enterprise deployments. This milestone demonstrates that millimetre-wave RAN
can be realized as a fully software-defined workload on accelerated
infrastructure without compromising carrier-grade KPIs.
SynaXG’s
real-time orchestration software dynamically allocates, and switches
Multi-Instance GPU (MIG) partitions based on live RAN and AI key performance
indicators. GPU resources are continuously rebalanced across FR1 for coverage,
FR2 for capacity and AI workloads without service interruption, enabling
deterministic RAN performance while maximizing infrastructure utilization.
The AI-RAN
system operated continuously, 24 hours a day, 7 days a week, under sustained
load, validating the stability, scalability and operational resilience required
for carrier environments. The results confirm that NVIDIA GPU-accelerated
AI-RAN can maintain predictable performance while adapting dynamically to
changing traffic conditions and workload demand.
SynaXG’s AI-RAN
platform is built on hardware and software stack leveraging NVIDIA AI Aerial platforms,
enabling a software-defined, AI-native architecture that supports deterministic
network performance alongside AI processing on shared GPU infrastructure.
Looking ahead,
SynaXG is extending its AI-RAN platform to additional NVIDIA platforms,
including NVIDIA DGX Spark,
demonstrating the portability of its software-defined architecture. This write
once, run anywhere approach across NVIDIA CUDA-based platforms
accelerates innovation cycles and simplifies deployment at speed that has never
been seen with traditional approaches.
In parallel,
SynaXG continues to advance AI-for-RAN capabilities focused on network
optimization and automation, spectral and energy efficiency, ISAC, distributed
MIMO, ICIC, etc. SynaXG has been working with partners on AI agents that
analyse real-time network conditions and service demand and take actions to
enhance performance, energy efficiency and operational simplicity in AI-native
networks.
“With the
recent industry-leading breakthroughs, SynaXG has demonstrated that AI-RAN can
deliver carrier-grade FR1 and FR2 performance with continuous 24x7 operation on
shared NVIDIA AI infrastructure,” said Xin Huang, CEO of SynaXG. “Our
software-defined approach enables operators and enterprises to deploy scalable,
AI-native networks and are ready for commercial deployment.”
“Software-defined
architecture is key to the next generation of wireless networks. SynaXG’s
benchmark 5G performance on NVIDIA AI-RAN platform proves that operators and
enterprises can achieve the flexibility and agility of cloud-native computing
while maintaining carrier-grade throughput and performance per watt, required
for commercial 5G services”, said Soma Velayutham, VP of AI and Telecoms,
NVIDIA.
SynaXG will
showcase these AI-RAN breakthroughs as part of the AI-RAN Alliance Working
Group 2 demonstrations at AI-RAN Alliance booth Hall 2, 2E45 and at the SynaXG
booth at Hall 5, 5F21 Mobile World Congress 2026 in Barcelona.
About SynaXG
SynaXG is a
Singapore-based technology company pioneering AI-native radio access networks
(AI-RAN). Its unified software platform integrates 5G RAN and AI capabilities
on shared commercial hardware, enabling operators, hyperscalers and enterprises
to deploy high-performance, energy-efficient, and monetizable AI-driven
networks. SynaXG works closely with global ecosystem partners across silicon,
cloud, RAN and AI to accelerate the transition toward 5G-Advanced and 6G
architectures.
For more information, visit www.synaxg.com
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