NVIDIA

NVIDIA’s research team open-sourced Polar, an agent reinforcement learning framework that connects GRPO training at the model API boundary without rewriting Codex CLI, Claude Code, Qwen Code, or Pi; on Qwen3.5-4B, Polar raised Codex pass@1 on SWE-Bench Verified from 3.8% to 26.4%, while prefix_merging cut training steps from 1,185 to 218.

Snowflake signed a five-year, $6 billion AWS deal to secure chips for AI use; the post does not disclose chip models, delivery timing, or whether the capacity targets training, inference, or both.

Hao AI Lab open-sourced FastVideo Dreamverse, a real-time video generation tool that generates a 30-second 1080p video in 7 seconds under the stated setup of one NVIDIA B200 GPU and LTX-2.

Jensen Huang showed Nvidia’s new Taiwan campus, and Nvidia plans to invest about $150 billion per year in Taiwan after AMD announced more than $10 billion in AI-related Taiwan investment one week earlier.

AMD and Penn State pretrained Llama 3.1-8B with MXFP4 on MI355X native FP4 hardware, achieving 9-10% end-to-end speedup over an FP8 baseline, while the paper identifies Wgrad quantization as the bottleneck that raises token overhead to 26-27% without deterministic Hadamard stabilization.

Taiwan prosecutors suspect three individuals exported at least one shipment of Nvidia AI chips to Japan, then smuggled the chips into China, according to people familiar with the matter.

ModelBest released ForgeTrain and MiniCPM5-1B, saying ForgeTrain was written by AI and trains 10% faster than NVIDIA Megatron under the same hardware conditions. MiniCPM5-1B is a 1B-parameter edge model with about 2GB FP16 weights and about 0.5GB INT4/Q4 weights.

ModelBest open-sourced MiniCPM5-1B and ForgeTrain; the 1B edge model scores 17.9 on AA-Index, while the AI-written ForgeTrain framework matches Megatron’s training results and runs 10% faster on Nvidia H100 under the article’s reported setup.

A Reddit post argues small-model agent stacks are not default for business reasons, not capability limits: Gemma 4 31B reaches 86.4% on tau2-bench, and DeepSeek V4-Flash output tokens are priced about 89x below Claude Opus 4.6. The operational risk is verification, because 7–9B models produced broken reasoning for roughly half to two-thirds of correct answers in a cited audit.

Jensen Huang predicted hyperscale cloud providers’ annual AI infrastructure spending will rise from $1 trillion to $3 trillion–$4 trillion, while Nvidia reported $81.6 billion in fiscal 2027 Q1 revenue and $75.2 billion from data centers.

The title says Nvidia reported Q1 2026 revenue of 81.6 billion, profit of 58.3 billion, 92% data-center growth, and a 2% share-price drop; the post does not disclose the currency or profit metric.

Trump approved Nvidia H200 sales to China six months ago, but Beijing has not allowed any company to buy even one chip and is steering firms toward domestic alternatives from Huawei and Cambricon.

Bloomberg says SpaceX filed for a Nasdaq IPO and pitched a $28.5 trillion opportunity spanning AI to Mars; the snippet also says OpenAI is preparing an IPO filing that could arrive as soon as Friday.

NVIDIA won four COMPUTEX 2026 Best Choice Awards for Vera Rubin NVL72, Jetson Thor, and Alpamayo; Vera Rubin NVL72 connects 36 Vera CPUs and 72 Rubin GPUs, and NVIDIA says it delivers up to 10x higher inference performance per watt and 10x lower cost per token.

Zhipu deployed ZCube in a thousand-GPU GLM-5.1 production inference cluster, replacing ROFT while keeping GPUs, software stack, and business code unchanged; throughput rose by over 15%, TTFT P99 fell 40.6%, and switch plus optical module costs dropped by one third.

Nvidia raised its dividend and reported revenue and forecasts above expectations, but its shares still fell; the RSS snippet does not disclose the dividend increase, revenue figures, forecast range, or trading move percentage.

Nvidia announced another record quarterly revenue figure after Wednesday’s market close and disclosed $43 billion in startup holdings; the post does not disclose the exact revenue number or the next-quarter growth forecast.

Nvidia reported fiscal first-quarter earnings of $1.87 per share, above the $1.77 estimate; the company projected revenue of $91 billion for the quarter ending in July, above Wall Street expectations of about $87.4 billion.

Nvidia reported fiscal Q1 2027 revenue of $81.615 billion and net income of $58.321 billion, while data center revenue reached $75.2 billion and the company guided fiscal Q2 revenue to $91 billion.

China banned Nvidia’s gaming chip during Jensen Huang’s visit, and the RSS snippet says Beijing aims to support domestic players including Huawei and Cambricon as they catch up to US rivals, but the post does not disclose the chip model or the scope of the ban.