Helping design and engineering professionals discover, evaluate and specify technologies and processes that shorten the design cycle and enable success.
May 5, 2010 · GPU servers optimized for NVIDIA Tesla 20-series GPUs.
May 5, 2010 · Includes IEEE 1394 and PCIe interfaces.
May 5, 2010 · Company expects to gain momentum with new orders and meet revenue expectations for the year.
May 4, 2010 · Appro 1U Tetra integrates two CPUs and four GPUs, while its GreenBlade system adds modular GPU support.
May 3, 2010 ·
May 3, 2010 · Measurement Computing Corporation's USB-501-LT stores more than 4,080 temperature readings.
May 3, 2010 · Embedded IPC features Intel Celeron M processor and desktop Linux.
May 1, 2010 ·
April 28, 2010 · Memory is compatible with Intel Xeon processors based on the Nehalem architecture.
April 26, 2010 · Brazil's National Institute for Space Research orders Cray XT6 supercomputer.
April 21, 2010 · ConnectX-2 I/O mezzanine adapter card is now available through Dell for the PowerEdge M-Series Blade Servers.
April 21, 2010 · Contributed by AMD and Mellanox Technologies, the new system provides open access to application expertise and development.
April 19, 2010 · Feature programmable buttons for quick access to commands.
April 16, 2010 · Designed for scaling high-performance computing clusters and data centers.
April 16, 2010 · Equipped with new cluster compatibility mode.
April 14, 2010 · New servers provide better performance and energy efficiency.
April 14, 2010 · Latest beta release adds support for new range of GPUs from NVIDIA.
April 13, 2010 ·
April 12, 2010 · Workshop will take place May 30 in Hamburg, Germany.
April 12, 2010 · Added support for CadFaster|QuickStep, Bluebeam PDF Revu, and TrueGage TrueMap v5.
May 2026 Special Focus: Artificial Intelligence in Design and Simulation
In this Special Focus Issue, learn about the latest developments in the integration of artificial intelligence into engineering workflows.
Cut Retrieval-Augmented Generation (RAG) Hallucinations by 50%
Most teams hit the same wall with enterprise AI: LLMs that hallucinate, pipelines that don’t scale, and infrastructure that’s harder to design than the models themselves.
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