NVIDIA Blackwell

Evidence (7)

• 7NVIDIA GenAI·10/1/2026model_release
  OpenAI GPT-6 Astra Ultrafast runs on NVIDIA Blackwell GPUs

  OpenAI says GPT-6 Astra Ultrafast is now available in the OpenAI API and for eligible ChatGPT Work and Codex users, with inference optimized for NVIDIA Blackwell GPUs. OpenAI claims the mode can generate tokens up to 8x faster than Astra Standard, aiming to improve coding-agent workflows and other latency-sensitive tasks.

• 6NVIDIA GenAI·9/21/2026product_launch
  Five Companies Using NVIDIA AI for Clean Energy

  NVIDIA is highlighting five companies that are using its AI and accelerated computing stack to speed up clean-energy deployment, grid optimization, and power infrastructure planning. The examples span digital twins for interconnection, AI knowledge tools for nuclear operations, and battery-based off-grid power systems for AI data centers.

• 9OpenAI Blog·8/25/2026breakthrough
  OpenAI's Jalapeño inference chip beats Nvidia Blackwell in reported benchmarks

  OpenAI has publicly detailed Jalapeño, a custom ASIC built with Broadcom for LLM inference, after a tapeout process that began in mid-2024. According to benchmark results shared by the source, the chip outperforms Nvidia, AMD, and Google hardware on several inference metrics, especially throughput per watt, while remaining a general-purpose inference design rather than a model-specific accelerator.

• 8NVIDIA GenAI·8/8/2026product_launch
  Firebird opens largest AI factory in Armenia

  Firebird has launched the CIS region’s largest AI factory in Armenia, creating a new AI compute hub built on NVIDIA accelerated computing and Dell Technologies infrastructure. The facility is designed to support training, fine-tuning, and deployment of AI models at scale, with plans to expand to more than 70,000 NVIDIA Rubin and Blackwell GPUs by the end of 2027.

• 7InfoQ·7/2/2026product_launch
  Apple Expands Private Cloud Compute to Google Cloud

  Apple is using Google Cloud for the first time to run Private Cloud Compute outside its own data centers. The setup uses NVIDIA Blackwell GPUs, Intel TDX, and Google’s Titan chip, while Apple keeps independent hardware ledgers and dual-vendor attestation roots for verification.

• 7The New Stack·6/30/2026product_launch
  AI infrastructure lock-in is driving costly redesigns

  The article argues that AI infrastructure teams are moving away from optimizing only for today's GPUs, because upcoming workloads such as reasoning, agents, and multimodal models place different demands on memory, networking, and system balance. It highlights industry shifts toward rack-scale, co-designed platforms from Nvidia, AMD, and hyperscalers as companies try to avoid expensive infrastructure lock-in and rebuilds.

• 7NVIDIA GenAI·6/18/2026product_launch
  NVIDIA and Partners Show AI for Advertising and Marketing at Cannes Lions

  At Cannes Lions, NVIDIA and partners including Alembic, AWS, Criteo, Higgsfield, KERV.ai and Taboola are demonstrating AI systems for marketing and adtech workflows. The use cases range from causal marketing analysis and real-time bidding to recommendation training and AI answer engines, with NVIDIA hardware and software used to improve speed, scale and automation.