GeeXLab 0.49 Released for Windows and Linux (Updated: v0.49.QB 0.2.0 Rubik’s Cube Simulator Released for Windows and Linux.(Demo) Knob and Toggle Widgets (Dear ImGui).D3d12info: GPU info via Direct3D 12 and other sources.glslDebugModule: GLSL debugging assistance module The Great Shark RGB GPU Backplate Add A-RGB remote (SATA Powered) 8.99 Add 3 pin Corsair iCue cable (Commander Pro/XT & Lighting Node Pro) 8.99 Add 4 pin.Jolt Physics: Rigid Body and Collision Detection Library.MX Linux MX-23 released (based on Debian 12).GPU Shark offers a global view of all your graphics cards in a single window. Overview of GPU Shark This simple, lightweight, and free GPU monitoring tool for GeForce and Radeon-based graphics cards is available for Windows only. Building a Submersible PC for ULTIMATE cooling GPU Shark is a simple, lightweight and free GPU monitoring tool, based on ZoomGPU, for Nvidia GeForce and AMD/ATI Radeon graphics cards. It is used to monitor your GeForce and Radeon-based graphics cards. Moore Threads MTT S80 GPU Review - A New Challenger Appears. NVIDIA GeForce driver 537.13 Game Ready / Quadro.Intel Graphics Driver 31.0.101.4669 beta for Arc / Iris GPUs.! updated: ZoomGPU 1.36.0 (GPU monitoring library) ! improved support of fan speed reading for NVIDIA GPUs. + updated detection of some Radeon RX 480/470/580/570. + added detection of Intel Arc A770 and A750. Gaming Videocard Utilities MSI Afterburner Search Communications Instant Messaging Social Apps VoIP Editing Audio Editing Converters Image Editing Video Editing File Management Backup CD/DVD. + added support of GeForce RTX 4090 and RTX 4080. ! updated: ZoomGPU 1.36.1 (GPU monitoring library) Status: Could not create a WebGL context, VENDOR 0xffff, DEVICE 0xffff, Sandboxed no, Optimus no, AMD switchable no, Reset notification strategy 0x0000, ErrorMessage OffscreenContext Creation failed, GpuChannelHost creation. * fixed a bug in the detection of AMD Radeon GPUs. It does not appear your computer supports WebGL. The full monitoring support of Intel Arc GPUs is available in GPU Shark 2 that will be released very soon. The detection (no monitoring support) of Intel Arc A750 and A770 has been added. The support of recent GeForce RTX 4090 and RTX 4080 has been added. GPU Shark 0.28 improves the fan speed reading on NVIDIA GeForce graphics cards: now all fans speed are displayed (in previous versions, only the first two fans were displayed…). CAM CAM is one of the best gaming GPU monitoring software packages available, providing comprehensive information about the computer’s hardware. SHA-256 : 781378a3af18316274f06c4541bfc43f1258d2a5a6523ccdba28c718ffeee064Ī new version of GPU Shark, a tiny GPU monitoring utility (Windows 32-bit) for NVIDIA GeForce and AMD Radeon graphics cards, is available. Geeks3D GPU Shark Sidebar Diagnostics CPUID Hardware Monitor Open Hardware Monitor GPU-Z GPU Temp Piriform Speccy GPU Tweak GPU Monitor 1. SHARK: The fastest PyTorch runtime – 3x over Torchscript, 1.- SHA-1 : f448a39b23d76da4ac7165c9e6ce5343c4adf2d5 #ai #MLIR #mlops #bert #huggingface #onnx #pytorch #tensorflow We can give you access to a drop-in evaluation docker container that can integrate into your existing MLOps flow. This allows for very fine grained fusion opportunities and you don’t have to bend over backwards hand fusing each adjacent kernel. SHARK which is built on MLIR and IREE and tuned with Nod.ai’s auto-tuner is unique because it doesn’t use traditional vendor supplied hand tuned libraries such as Intel's MKL (see last week’s post on performance comparison with MKL) or Nvidia's CuDNN/CuBLAS/CUTLASS - all the kernels are generated by the compiler. PyTorch is now ready for production.Īs promised last week - in this blog post ( ) we demonstrate Nod.ai’s SHARK runtime against other runtimes such as PyTorch’s inference optimized Torchscript, Microsoft’s ONNXRuntime, Google’s IREE and Tensorflow/XLA on Nvidia’s A100 GPU. Introducing SHARK: The fastest PyTorch runtime.ģx faster than Torchscript, 1.6x faster than Tensorflow/XLA and 23% faster than ONNXRuntime and push button deployable as a container on-premise or in the cloud.
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