Search Results for "gpu"
Enhancing CUDA C++ Development with Optimized Compile Times
Learn how the new --fdevice-time-trace feature in CUDA 12.8 improves compile times for CUDA C++ developers, boosting productivity and efficiency.
Decoding PTX: The Core of NVIDIA CUDA GPU Computing
Explore PTX, the assembly language for NVIDIA CUDA GPUs, its role in enabling forward compatibility, and its significance in the GPU computing landscape.
Together AI Unveils Cost-Effective On-Demand Dedicated Endpoints
Together AI introduces Dedicated Endpoints with up to 43% lower pricing, offering enhanced GPU inference capabilities for scaling AI applications, providing high-performance and cost-efficiency.
NVIDIA's Project Aether Boosts Apache Spark Efficiency
NVIDIA introduces Project Aether, streamlining Apache Spark workloads with GPU acceleration, significantly reducing processing times and costs for enterprises globally.
NVIDIA vGPU 18.0 Expands AI Capabilities Across Virtual Platforms
NVIDIA's vGPU 18.0 release enhances AI capabilities on virtual platforms, supporting Microsoft Windows Server 2025 and Proxmox VE, and introduces new AI toolkits for developers.
Enhancing Polars GPU Parquet Reader Performance with Chunked Reading and UVM
Explore how Polars GPU Parquet Reader boosts performance using chunked reading and Unified Virtual Memory, enhancing data processing capabilities for large datasets.
Rivian Enhances XR Design with NVIDIA RTX PRO Blackwell GPUs
Rivian leverages NVIDIA RTX PRO Blackwell GPUs to boost XR design, achieving photorealistic visuals and enhanced AI interactions, transforming automotive design processes.
NVIDIA's cuEmbed Boosts GPU Performance for Embedding Lookups
NVIDIA unveils cuEmbed, a CUDA library that significantly enhances embedding lookups on GPUs, promising improved performance for recommendation systems and other applications.
Apache Spark Workload Acceleration with GPUs: A Predictive Approach
Explore how the Spark RAPIDS Qualification Tool predicts GPU acceleration benefits for Apache Spark workloads, aiding organizations in optimizing data processing tasks efficiently.
Harnessing AI's Potential with Decentralized Compute Networks
Explore how decentralized compute networks address the rising demand for AI applications, offering scalable solutions through consumer-grade GPUs. Learn about real-world use cases and industry partnerships.
Render Network Enhances Blender Cycles with Decentralized GPU Power
Render Network now supports Blender Cycles, offering high-performance decentralized GPU rendering. This integration marks a significant milestone for the open-source 3D ecosystem.
NVIDIA Enhances Dynamo with GPU Autoscaling and Kubernetes Automation
NVIDIA introduces GPU autoscaling, Kubernetes automation, and networking optimizations in the latest v0.2 release of Dynamo, enhancing the deployment and efficiency of AI models.