AI Chips news and analysis on Web Pulse: 6928 curated articles tracking the latest AI Chips developments, tools, and research, updated continuously from vetted sources.
Z.ai revealed that its GLM-5.3-Flash model, which topped coding leaderboards anonymously as Ox Alpha, was built and served entirely on Chinese-made AI chips, not Nvidia's. The 320-billion-parameter mixture-of-experts mod…
At the 37th Hot Chips conference, OpenAI unveiled its custom inference chip Jalapeño, claiming it outperforms NVIDIA's GB200/GB300 systems with 1.5–1.9× more work per watt at peak throughput, 1.7–3.6× lower end-to-end la…
Apple's M5 chip, announced October 2025, introduces a Neural Accelerator in every GPU core, making prompt processing 3.3 to 4.1 times faster than the M4, according to Apple's MLX benchmarks. Token generation improves onl…
A developer at forge.workstyle.tech explores cost reduction in GPU cloud services and the rise of containerized data centers, highlighting their advantages in rapid deployment and reduced power consumption. The article n…
NVIDIA Corp. reported $96.2 billion in revenue for the quarter ended July 26, 2026, and guided to $108 billion for the current period, with CEO Jensen Huang stating 'Compute is revenue, and demand is accelerating.' The c…
Amazon Web Services (AWS) and NVIDIA announced a major expansion of their strategic collaboration, planning to deploy 2 million additional NVIDIA GPUs across AWS's global infrastructure to meet surging demand for AI infr…
SK hynix held a groundbreaking ceremony for its advanced packaging fab in Indiana, US, aimed at strengthening the global semiconductor supply chain for next-generation AI memory production.
South Korean chip startup Rebellions is adopting an open source-first software strategy, including vLLM, OpenShift, and PyTorch, to help telecom carriers quickly build AI stacks with its AI inferencing chips, which inclu…
Researchers introduced Maia 200, an AI accelerator delivering 10,145 Tflop/s FP4 and 5,072 Tflop/s FP8 performance within a 750W TDP and 7 TB/s HBM bandwidth, as detailed in a paper submitted to arXiv on August 25, 2026.…
Meta Platforms Inc. unveiled its MTIA 400 accelerator at the Hot Chips conference, designed for both LLM training and ad-serving inference, delivering 12 petaFLOPS of MXFP4 compute at 1.7 GHz, which is about 20 percent f…
Amazon Web Services (AWS) and NVIDIA announced an expansion of their strategic collaboration, with AWS planning to deploy 2 million additional NVIDIA GPUs across its global infrastructure in 2027–2028. The companies will…
AWS and Nvidia announced plans to supply an additional 2 million GPUs to enhance infrastructure for agentic and physical AI systems, building on AWS's existing deployment of over 1 million Nvidia GPUs across global cloud…
NVIDIA introduced NVLink Fusion and NVHBM, a custom HBM base-die technology validated with leading memory vendors, to help hyperscalers and AI-native companies deploy custom XPUs into NVIDIA's AI infrastructure platform.…
NVIDIA expanded its NVLink Fusion platform with NVHBM, a custom high-bandwidth memory technology that integrates NVIDIA's memory controller into the HBM base die, delivering up to 30% greater memory bandwidth, 15% lower …
AWS and NVIDIA announced a major expansion of their strategic collaboration, planning to deploy 2 million additional NVIDIA GPUs across AWS's global infrastructure in 2027-2028, including 100,000 GPUs for U.S. government…
Lam Research broke ground on August 26 on a new advanced R&D lab in Tualatin, Oregon, as part of a five-year investment plan exceeding $3 billion to expand its global research infrastructure. The facility aims to boost a…
Intel Corp. unveiled a three-pronged hardware strategy at the Hot Chips 2026 conference, positioning agentic AI as a system-level workload requiring CPUs, GPUs, memory, interconnects, and advanced packaging to work toget…
Samsung presented a 16 GB LPDDR5X-PIM memory package at Hot Chips 2026 that delivers 614 GB/s of internal bandwidth to its own compute units, an eightfold increase over the 76.8 GB/s available through external pins, enab…
OpenAI announced its first custom inference chip, Jalapeño, on August 25, 2026, claiming it outperforms Nvidia's GB200 and GB300 accelerators by 1.5 to 1.9 times more AI work per watt and 1.7 to 3.6 times lower latency, …
Cerebras Systems introduced the CS-4, the fastest AI accelerator in the industry, at Supernova 2026, and detailed its architecture at the Hot Chips conference in Palo Alto. The CS-4 is the first system built on the Cereb…