NVIDIA
NVIDIA Launches ALCHEMI Toolkit for GPU-Accelerated Chemistry Simulations
NVIDIA releases ALCHEMI Toolkit enabling researchers to build custom atomistic simulation workflows with up to 33x speedups for batched molecular dynamics on GPUs.
NVIDIA NVbandwidth Tool Gets Multi-Node Support for AI Infrastructure Testing
NVIDIA's NVbandwidth benchmarking tool now supports multi-node GPU clusters, enabling developers to measure bandwidth across NVLink connections at 397+ GB/s.
NVIDIA Ising AI Models Target Quantum Computing's Biggest Flaw
NVIDIA launches Ising, open-source AI models that deliver 2.5x faster quantum error correction and 3x better accuracy, potentially accelerating fault-tolerant quantum systems.
NVIDIA Ising AI Models Target Quantum Computing's Biggest Bottlenecks
NVIDIA launches open-source Ising AI models for quantum calibration and error correction, claiming 2.5x faster decoding and adoption by major research labs.
![MiniMax M2.7 Boosts AI Workflows on NVIDIA Platforms [E2E]](https://image.blockchain.news:443/thumbnails/CDFD04C6AE2ECD27E0303699ACC55A7EA730424914D05D72C2ACE985B2B11483.jpg)
MiniMax M2.7 Boosts AI Workflows on NVIDIA Platforms [E2E]
NVIDIA's MiniMax M2.7 delivers efficiency and scalability for complex AI applications, featuring advanced MoE architecture and open-source integrations. [E2E]
MiniMax M2.7 Brings 230B-Parameter AI Model to NVIDIA Infrastructure
MiniMax releases M2.7, a 230B-parameter mixture-of-experts model optimized for NVIDIA GPUs with up to 2.7x throughput gains on Blackwell hardware.
NVIDIA nvCOMP Cuts AI Training Checkpoint Costs by $56K Monthly
New GPU compression library reduces LLM training checkpoint sizes by 25-40%, saving teams up to $222K monthly on large-scale model training infrastructure.
NVIDIA Open-Sources Slinky to Run Slurm GPU Workloads on Kubernetes
NVIDIA's Slinky project enables running Slurm clusters on Kubernetes, already deployed on 8,000+ GPU systems for large-scale AI training infrastructure.
NVIDIA Scales AlphaFold-Multimer for Proteome-Wide Protein Complex Prediction
NVIDIA researchers detail GPU-accelerated pipeline extending AlphaFold Database with large-scale protein complex predictions using H100 clusters and optimized workflows.
NVIDIA Omniverse Gets Modular Libraries for Physical AI Integration
NVIDIA releases standalone Omniverse libraries ovrtx, ovphysx, and ovstorage in early access, enabling developers to embed RTX rendering and physics simulation into existing applications.
NVIDIA Unveils Mission Control Software for Blackwell AI Supercomputers
NVIDIA's Mission Control bridges rack-scale GPU hardware with AI workload schedulers, enabling topology-aware job placement on GB200 and GB300 NVL72 systems.
NVIDIA and Google Optimize Gemma 4 AI Models for Local RTX Deployment
Google's Gemma 4 family now runs optimized on NVIDIA RTX GPUs and DGX Spark, enabling local agentic AI with multimodal capabilities across edge to desktop devices.
NVIDIA Nsight Tools Slash Vision AI Decode Times by 85% in New VC-6 Batch Mode
NVIDIA's optimized VC-6 batch mode achieves submillisecond 4K image decoding, delivering up to 85% faster per-image processing for AI training pipelines.
NVIDIA GH200 Hits 4.6 Microsecond Latency in Trading Benchmark
NVIDIA's Grace Hopper Superchip achieves record single-digit microsecond inference times in STAC-ML benchmark, challenging FPGA dominance in algorithmic trading.
NVIDIA Optimizes Google Gemma 4 for Edge AI Deployment Across Hardware Stack
NVIDIA announces full support for Google's Gemma 4 multimodal AI models across Blackwell, Jetson, and RTX platforms, enabling enterprise-grade local deployment.