
NVIDIA Releases Nemotron 3.5 Super VL and Bolt Edge Models
NVIDIA released Nemotron 3.5 Super VL, an open 120-billion-parameter model for specialized always-on agents, claiming the fastest task completion and highest accuracy. Two edge models also launched: Nemotron 3.5 Bolt 74B-A9B 24GB, balancing intelligence and speed per GB for local agentic workloads, and Nemotron 3.5 Bolt E4B 4GB.
Sources and evidence
Summary last validated Oct 16, 2026
Reader actions
Report an issue
Use this for an incorrect summary, wrong source, duplicate story, or wrong category. Submissions are private and do not change the story automatically.
Related coverage
- infrastructure
Barcelona Supercomputing Center Opens AI Factory Accelerator to Spanish Startups
The Barcelona Supercomputing Center's AI Factory Accelerator Programme is now in full operation after a pilot phase, giving startups access to sovereign compute, technical support and training across industries. Many participating companies are also members of the NVIDIA Inception program for startups, and as of today some gain expanded access.
- models
Amazon Bedrock adds structured outputs for Anthropic Claude models
Amazon Bedrock now supports structured outputs for all Anthropic Claude models on both the bedrock-runtime and bedrock-mantle endpoints. The feature returns schema-compliant JSON matching a defined structure using JSON Schema output format and strict tool use, eliminating the need for custom parsing, retry logic, or post-processing.
- industry
NVIDIA and Germany Discuss Industrial AI Leadership at Berlin Event
At Berlin's Kraftwerk venue, German Chancellor Friedrich Merz and NVIDIA CEO Jensen Huang discussed Germany's AI roadmap, focusing on industrial AI applications. Huang traced NVIDIA's long relationship with German industry, from gaming systems and workstations to automotive. The event was framed around Germany's ambition to lead the world in industrial AI, with NVIDIA positioned as a partner.
- models
Cloudflare introduces Clairic System One extraction models
Cloudflare announced Clairic, a new model it describes as a System One extraction model. According to Cloudflare, Clairic can extract, compute, estimate, and forecast data from unstructured inputs. The company detailed the model in a blog post introducing the new class of extraction models.
- open source
NVIDIA Shows Mamba-2 Forward Pass Kernels in CUDA Tile Python DSL
NVIDIA published a developer blog demonstrating high-performance Mamba-2 forward pass kernels written in CUDA Tile (cuTile), its Python-based DSL and parallel programming model for NVIDIA GPUs. cuTile abstracts thread- and warp-level scheduling behind tile-centric primitives, letting developers write GPU kernels in Python while compiler optimizations handle low-level hardware details automatically.