…from legate.io.hdf5 import from_file data = from_file("/path/to/file.h5", "dataset_name") Figure 4 compares the optimized results on a GDS-enabled cluster against the initial baseline from…
…And this is a chip designed for data centers. Data centers. What makes this chip special? There's a number of things, but one is that it's unbelievably power-efficient. This…
…As for the CPU, the Vera CPU is NVIDIA's first fully custom, next-generation Arm-based CPU designed solely for AI data centers. Its purpose is to keep the massive GPU…
…NVIDIA NIM inference microservices are prepackaged and performance-optimized for rapidly deploying AI foundation models on any infrastructure — cloud, data centers, edge or workstations. NVIDIA Triton Inference Server, one of the company…
…This requires a library that can unify different communication and storage technologies, which ensures that frameworks can efficiently move data across various memory and storage hierarchies: GPU memory, CPU memory, and many…
…while maintaining the same pixel density at the fovea (the center of the user’s focus). Despite the massive reduction in data, the system maintains a visual quality that is perceptually similar…
…Previously, he was a principal engineer and marketing director at Cisco Systems where he brought SDN innovations to market for hybrid cloud, multitenant security, and data center application performance. Harry has an…
…Of the $10.3 billion in revenue the company brought in this quarter, $5.8 billion was data center revenue. This accounts for a surprisingly high 55.9% of AMD's total…
…and supercomputing centers. The new NVIDIA Quantum-2 features a huge 400Gbps InfiniBand networking system that packs the new NVIDIA Quantum-2 switch, ConnectX-7 network adapter, BlueField-3 data processing unit…
The NVIDIA Data Center GPUs fundamentally change the economics of the data center, delivering breakthrough performance with dramatically fewer servers, less power consumption, and reduced networking overhead, resulting in total cost savings…
