Get hands-on with Google Kubernetes Engine (GKE) and NVIDIA NIM when you join the new Google Cloud and NVIDIA community.
Get hands-on with Google Kubernetes Engine (GKE) and NVIDIA NIM when you join the new Google Cloud and NVIDIA community.
Category: Misc
Helix Parallelism, introduced in this blog, enables up to a 32x increase in the number of concurrent users at a given latency, compared to the best known prior parallelism methods for real-time decoding with ultra-long context.
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Efficient MultiModal Data Pipeline
Modern AI applications increasingly rely on models that combine huge parameter counts with multi-million-token context windows. Whether it is AI agents…
Modern AI applications increasingly rely on models that combine huge parameter counts with multi-million-token context windows. Whether it is AI agents following months of conversation, legal assistants reasoning through gigabytes of case law as big as an entire encyclopedia set, or coding copilots navigating sprawling repositories, preserving long-range context is essential for relevance and…
NVIDIA cuQuantum is an SDK of optimized libraries and tools that accelerate quantum computing emulations at both the circuit and device level by orders of…
NVIDIA cuQuantum is an SDK of optimized libraries and tools that accelerate quantum computing emulations at both the circuit and device level by orders of magnitude. With NVIDIA Tensor Core GPUs, developers can speed up quantum computer simulations based on quantum dynamics, state vectors, and tensor network methods by orders of magnitude. In many cases, this provides researchers with simulations…
As AI evolves to planning, research, and reasoning with agentic AI, workflows are becoming increasingly complex. To deploy agentic AI applications efficiently,…
As AI evolves to planning, research, and reasoning with agentic AI, workflows are becoming increasingly complex. To deploy agentic AI applications efficiently, AI clouds need a software-defined, hardware-accelerated application delivery controller (ADC). That enables dynamic load balancing, robust security, cloud-native multi-tenancy, and rich observability. F5 BIG-IP ADC for Kubernetes…
This is the third post in the large language model latency-throughput benchmarking series, which aims to instruct developers on how to benchmark LLM inference…
This is the third post in the large language model latency-throughput benchmarking series, which aims to instruct developers on how to benchmark LLM inference with TensorRT-LLM. See LLM Inference Benchmarking: Fundamental Concepts for background knowledge on common metrics for benchmarking and parameters. And read LLM Inference Benchmarking Guide: NVIDIA GenAI-Perf and NIM for tips on using GenAI…
RAPIDS, a suite of NVIDIA CUDA-X libraries for Python data science, released version 25.06, introducing exciting new features. These include a Polars GPU…
RAPIDS, a suite of NVIDIA CUDA-X libraries for Python data science, released version 25.06, introducing exciting new features. These include a Polars GPU streaming engine, a unified API for graph neural networks (GNNs), and acceleration for support vector machines with zero code changes required. In this blog post, we’ll explore a few of these updates. In September 2024…