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RCRTech engages industry communities through research-driven content, conversations, and connections. Building on 40+ years of RCR Wireless News excellence, RCRTech delivers trusted insights informing and connecting technology buyers with innovators shaping connectivity and compute.
RCRTech engages industry communities through research-driven content, conversations, and connections. Building on 40+ years of RCR Wireless News excellence, RCRTech delivers trusted insights informing and connecting technology buyers with innovators shaping connectivity and compute.
Juan Pedro TomásUnder the terms of the partnership, several thousand Tata Group employees will gain access to Enterprise ChatGPT In sum – what to know: 100MW AI infrastructure – TCS HyperVault and OpenAI will jointly build AI capacity in India, starting with 100MW and expanding to 1GW to support advanced AI workloads. Enterprise AI deployment across Tata Group – Thousands of employees …
Susana SchwartzShirtless protests, strategic alliances, and another day of staggering financial pledges for AI infrastructure Where the first day of the India AI Impact Summit saw a bit of controversy over long queues, the last day saw a brief “shirtless protest” by Indian Youth Congress workers opposed to the India-U.S. Interim Trade Agreement. From that point on, the day went as planned, with …
Humain said the investment aligns with its long-term strategy of backing large-scale AI platforms and infrastructure In sum – what to know: $3B invested before merger – Humain backed xAI’s Series E round shortly before its acquisition by SpaceX, securing equity exposure ahead of integration. Stake converted into SpaceX shares – Humain became a minority shareholder, with its xAI holdings …
Adani noted that the expansion builds on AdaniConnex’s existing 2 GW national data center platform, with plans to scale to 5 GW In sum – what to know: $100bn direct AI infrastructure bet – Investment targets 5 GW of renewable-powered, hyperscale AI-ready data center capacity by 2035. $250bn projected ecosystem impact – Program expected to unlock an additional $150bn across …
Sulagna Saha While the partnership promises to put in motion ambitious plans to co-develop design and engineering solutions across vertical markets, Nvidia’s deepening market reach prompts scrutiny In sum — what to know: Nvidia acquires stakes in Synopsys: Nvidia announced that it has invested $2 billion in long-time industry partner Synopsys. GPU-accelerated AI-powered engineering: The multi-year partnership includes plans to jointly develop …
Sulagna Saha The test and measurement giant saw its best quarterly performance in two years, driven by AI and 6G push In sum — what to know: Revenue blew past estimates: Keysight’s fourth-quarter earnings beat Wall Street estimates, signaling renewed business momentum fueled by AI infrastructure buildouts and early 6G traction. Strong upward growth: At $1.42 billion, quarterly revenue is up 10% …
Sulagna Saha Samsung has added LB Semicon to its chip-testing network for handling post-processing of the flagship Exynos 2600 chips In Sum — What to Know Samsung adds LB Semicon to its chip-testing network: Samsung adds OSAT provider, LB Semicon — part of rival company LG Electronics — expanding its supply chain of testing partners. Wafer-testing of the Exynos 2600: LB Semicon …
Sulagna Saha The GPU-powered, cloud-native simulation solver provides a repeatable blueprint for integrating predictive analysis and rapid optimization in factory workflows In sum — What to know Optimizing manufacturing: At Microsoft Ignite, Synopsys unveiled a simulation-driven solution based on Ansys Fluent that allows manufacturers to model and optimize dynamic processes in factories. Under the hood: The solution is powered by Nvidia Omniverse …
Christian de LooperBuying up old GPUs for AI might be the way to go for some smaller AI outfits Every time Nvidia drops a new flagship accelerator, the entire AI processing landscape reshapes practically overnight. Hyperscalers scramble for allocation and last generation’s hardware gets treated like it’s ancient history. But what doesn’t get anywhere near as much attention is the outgoing generation of accelerators — which …
New 102.4 tbps Silicon One promises efficiency gains for hyperscalers In sum – what we know: It’s easy to focus on the GPU arms race when talking about AI infrastructure, but the networking connecting all those accelerators is arguably almost as important. You can rack up as many GPUs as your budget allows — but if the data can’t shuttle between them …
How can quantization turn massive models into efficient tools without ruining their accuracy? Running large language models is expensive. The biggest ones pack hundreds of billions of parameters, each stored as a high-precision number that chews through memory, power, and premium hardware. But do we actually need all that precision? Increasingly, the answer is no. That realization has driven the …
Replacing copper with optical pipes could have a significant impact on the AI data bottleneck The semiconductor industry has been following the same steps for decades, revolving around shrinking the transistor and packing them more into a chip. It’s worked remarkably well. But there’s a problem emerging that transistor density simply can’t fix — getting data from point A to …
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