AI Infrastructure

Global – October 16, 2026 -- Lightelligence, founded in 2017, reports 446 cumulative patents, with invention patents accounting for 80% of the portfolio, as it markets three optoelectronic computing products to AI and data center customers.

Lightelligence staffs 250+ employees, 170+ of them in R&D

The company counts more than 250 employees worldwide. R&D staff make up over 170 of them, roughly two-thirds of the workforce, which fits a patent-heavy, research-led business model.

PACE 2 accelerator card launched in 2025

PACE 2 is an optoelectronic accelerated computing card released by Lightelligence in 2025. The company lists high performance, programmability, versatility and advanced packaging technology as its key features.

San Antonio – October 15, 2026 -- Singtel Digital InfraCo has received Frost & Sullivan's 2026 Southeast Asia Transformational Innovation Leadership Recognition in AI infrastructure, backed by a portfolio of 26 internationally granted patents and early deployments of four successive NVIDIA GPU platforms.

Frost & Sullivan benchmarks strategy effectiveness and execution

The analyst firm assessed the company on strategy effectiveness and strategy execution. It credited Singtel Digital InfraCo with a unified platform combining connectivity, Nxera data centre resources, high-performance GPU capacity and RE:AI's AI services.

"Rather than approaching AI infrastructure as a collection of individual technology layers," the company built an integrated operating model, said Gautham Gnanajothi, Senior Vice President at Frost & Sullivan.

San Jose – October 15, 2026 -- LITEON Technology (2301.tw) demonstrated 800 VDC rack power architectures scaling from 330kW to 1.2MW at the 2026 OCP Global Summit, targeting the megawatt-scale AI data centers its partner NVIDIA is building around.

LITEON exhibits 800 VDC Power Rack and 800V-to-50V Power Brick in NVIDIA MGX area

The company was invited to the NVIDIA MGX Ecosystem Ceremony at the summit. It was represented by John Chang, General Manager of its Cloud Infrastructure Platform and Solution SBG; Bob Weng, General Manager of the AIDC Platform SBU; and Simon Ong, President of LITEON USA.

In the MGX exhibit area, LITEON showed its NVIDIA 800 VDC Power Rack and 800V-to-50V Power Brick. The products span rack-level power architecture to power conversion, and are designed for the efficiency, power density and scalability requirements of AI data centers.

London – October 15, 2026 -- The global data center precision air conditioning market will grow from USD 4.88 billion in 2025 to USD 10.00 billion by 2035, a 7.43% CAGR, according to a new DC Market Insights report. Rising AI rack density is shifting spending toward fan walls, in-row coolers, rear-door heat exchangers and retrofit services.

New-build capacity of 12.0 GW a year supports USD 2.75 billion in equipment spending

New data center capacity of about 12.0 GW a year supports roughly USD 2.75 billion of new-build precision air-conditioning spending, the report states. The analysis covers four product types: perimeter CRAC and CRAH units, in-row and rack-based coolers, fan walls and thermal walls, and rear-door heat exchangers.

London – October 15, 2026 -- The global DDR5 AI server memory market is forecast to grow from USD 2.14 billion in 2025 to USD 6.80 billion by 2035, a 12.25% CAGR, according to a new DC Market Insights report. Servers configured with more than 2 TB of DDR5 host memory are projected to account for USD 4.42 billion of that market by 2035.

AI capacity additions are modeled to rise more than fourfold

The report models annual AI capacity additions rising from 4.2 GW to 17.8 GW, expanding the installed base of memory-intensive accelerator servers. AI servers are adding more host memory per node. Accelerator-rich systems raise the value of capacity, bandwidth and memory-channel count.

New York – October 15, 2026 -- Mindbeam raised the Level 2 KernelBench score of NVIDIA's Nemotron 3.5 Super VL from 22.8% to 82.1% through post-training, ahead of the 57% accuracy the company reports for GPT 5.6 Sol.

The New York-based AI infrastructure company announced a collaboration with NVIDIA covering two layers of the open source AI stack: a post-trained model that writes CUDA kernels, and an inference engine that serves NVIDIA's latest open models.

Litespark Nemotron 3.5 Super VL gains 11.2 points on Level 1 tasks

Mindbeam post-trained NVIDIA's Nemotron 3.5 Super VL (120B-A12B) to produce Litespark Nemotron 3.5 Super VL, an open-weights model for CUDA code generation. The task is to take a PyTorch module and generate a raw CUDA kernel that reproduces the forward pass within tight numerical tolerances while staying architecture-agnostic.

Portland – October 15, 2026 -- Mueon Corporation has raised $65 million in a Series A round led by Maverick Silicon, lifting its total capital raised to more than $80 million as it moves its CubeletsTM modular compute architecture toward production readiness.

Intel Capital, Geodesic Alliances Fund, Oregon Venture Fund, M-Ventures, Wellington Capital, IQT and Defined also participated. The round follows a $15.5 million seed financing in 2025, when the Portland-based semiconductor systems company emerged from stealth.

Mueon targets up to 10X power and cost efficiency in the same rack footprint

The company says its architecture is designed to scale toward megawatt-class density as demand grows. CubeletsTM are modular, three-dimensional compute-and-memory building blocks. They shorten the physical distance data travels, which cuts the power cost of moving it, and avoid the sprawl of a traditional server rack.

Vienna – October 15, 2026 -- Huawei has unveiled its Next Generation OTN solution, offering 800G to 2T capacity for data center interconnection (DCI), as the core of a "LIGHTS" all-optical network aimed at AI data center (AIDC) traffic. The company presented the concept at the Optical Transport Innovation Summit during NetworkX 2026.

Huawei Identifies Three AI-Driven Revenue Waves for Operators

Huawei outlined three opportunities for operators: DC interconnection for hyperscalers, private lines for enterprise computing power, and integrated computing and network services. The company argues these shift optical transport from a network serving consumer and home users to one serving enterprises and AI, and move planning from administrative divisions to an AIDC-centric model.

Mumbai – October 15, 2026 -- Colt Data Centre Services (Colt DCS) and RMZ have begun construction of Mumbai 3, a 64MW AI-ready data centre at their Navi Mumbai Campus, after signing a first hyperscale customer and fully pre-letting the facility.

The project is part of the companies' joint venture (JV), announced in 2024, to invest $1.7 billion in the Indian data centre market. Ground preparation began in December 2025. The companies said the JV has reached this milestone within 18 months of signing.

Mumbai 3 lifts Navi Mumbai Campus capacity to 86MW

Mumbai 3 will join Mumbai 1 and Mumbai 2, which currently support large enterprise and cloud workloads. Upon completion, it will raise the campus's operational capacity to 86MW. The campus has the potential to reach up to 148MW at full development.

Both partners have committed to develop 250MW of data centre capacity across Mumbai and Chennai under the JV.

Beijing – October 15, 2026 -- Huawei projects that the number of AI agents worldwide could reach 900 billion by 2035, roughly 100 times the global population, and argues that mobile core networks must be rebuilt to handle them.

The projection comes from Huawei's Intelligent World 2035 report. The company says core network architecture must be able to support long-term growth in new connections and services. It describes the shift as a move from transporting data bits to enabling task-oriented tokens, with agentic services becoming typical mobile network scenarios as AI terminals and applications spread.

Huawei defines three agentic service scenarios for experience assurance

Agent Over New Radio (AoNR) targets task latency. Portable AI devices are limited by computing power, battery capacity, size, and cost, so end-to-end task latency must stay below demanding thresholds.