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IT Management Software
IT management software is software used to help organizations and IT teams improve operational efficiency. It can be used for tasks such as tracking assets, monitoring networks and equipment, managing workflows, and resolving technical issues. It helps streamline processes to ensure businesses are running smoothly. IT management software can also provide accurate reporting and analytics that enable better decision-making.
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NVIDIA Base Command Manager
NVIDIA
...The platform integrates with Kubernetes for workload orchestration and offers tools for infrastructure monitoring, workload management, and resource allocation. Base Command Manager is optimized for accelerated computing environments, making it suitable for diverse HPC and AI workloads. It is available with NVIDIA DGX systems and as part of the NVIDIA AI Enterprise software suite. High-performance Linux clusters can be quickly built and managed with NVIDIA Base Command Manager, supporting HPC, machine learning, and analytics applications. -
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Bright Cluster Manager
NVIDIA
...Heterogeneous high-performance Linux clusters can be quickly built and managed with NVIDIA Bright Cluster Manager, supporting HPC, machine learning, and analytics applications that span from core to edge to cloud. NVIDIA Bright Cluster Manager is ideal for heterogeneous environments, supporting Arm® and x86-based CPU nodes, and is fully optimized for accelerated computing with NVIDIA GPUs and NVIDIA DGX™ systems. -
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NVIDIA HPC SDK
NVIDIA
The NVIDIA HPC Software Development Kit (SDK) includes the proven compilers, libraries and software tools essential to maximizing developer productivity and the performance and portability of HPC applications. The NVIDIA HPC SDK C, C++, and Fortran compilers support GPU acceleration of HPC modeling and simulation applications with standard C++ and Fortran, OpenACC® directives, and CUDA®. -
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NVIDIA Air
NVIDIA
Data center infrastructure is growing in complexity and requires efficient solutions that simplify network operations. NVIDIA Air enables cloud-scale efficiency by creating identical replicas of real-world data center infrastructure deployments. NVIDIA Air allows users to model data center deployments with full software functionality, creating a digital twin. Transform and streamline network operations by simulating, validating, and automating changes and updates. -
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NVIDIA DGX Cloud Serverless Inference is a high-performance, serverless AI inference solution that accelerates AI innovation with auto-scaling, cost-efficient GPU utilization, multi-cloud flexibility, and seamless scalability. With NVIDIA DGX Cloud Serverless Inference, you can scale down to zero instances during periods of inactivity to optimize resource utilization and reduce costs.
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NVIDIA DGX Cloud
NVIDIA
NVIDIA DGX Cloud offers a fully managed, end-to-end AI platform that leverages the power of NVIDIA’s advanced hardware and cloud computing services. This platform allows businesses and organizations to scale AI workloads seamlessly, providing tools for machine learning, deep learning, and high-performance computing (HPC). DGX Cloud integrates seamlessly with leading cloud providers, delivering the performance and flexibility required to handle the most demanding AI applications. ... -
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NVIDIA virtual GPU
NVIDIA
NVIDIA virtual GPU (vGPU) software enables powerful GPU performance for workloads ranging from graphics-rich virtual workstations to data science and AI, enabling IT to leverage the management and security benefits of virtualization as well as the performance of NVIDIA GPUs required for modern workloads. Installed on a physical GPU in a cloud or enterprise data center server, NVIDIA vGPU software creates virtual GPUs that can be shared across multiple virtual machines, and accessed by any device, anywhere. ... -
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NVIDIA GPU-Optimized AMI
Amazon
The NVIDIA GPU-Optimized AMI is a virtual machine image for accelerating your GPU accelerated Machine Learning, Deep Learning, Data Science and HPC workloads. Using this AMI, you can spin up a GPU-accelerated EC2 VM instance in minutes with a pre-installed Ubuntu OS, GPU driver, Docker and NVIDIA container toolkit. This AMI provides easy access to NVIDIA's NGC Catalog, a hub for GPU-optimized software, for pulling & running performance-tuned, tested, and NVIDIA certified docker containers. ...Starting Price: $3.06 per hour -
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SONiC
NVIDIA Networking
NVIDIA offers pure SONiC, a community-developed, open-source, Linux-based network operating system that has been hardened in the data centers of some of the largest cloud service providers. Pure SONiC through NVIDIA removes distribution limitations and lets enterprises take full advantage of the benefits of open networking—as well as the NVIDIA expertise, experience, training, documentation, professional services, and support that best guarantee success. -
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NVIDIA Magnum IO
NVIDIA
...It supports NVIDIA CUDA-X libraries and makes the best use of a range of NVIDIA GPU and networking hardware topologies to achieve optimal throughput and low latency. In multi-GPU, multi-node systems, slow CPU, single-thread performance is in the critical path of data access from local or remote storage devices. With storage I/O acceleration, the GPU bypasses the CPU and system memory, and accesses remote storage via 8x 200 Gb/s NICs, achieving up to 1.6 TB/s of raw storage bandwidth. -
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NVIDIA Virtual PC
NVIDIA
...Although tools like MS teams and Zoom help teams collaborate in real-time, regardless of location, modern workers require multiple monitors to run a range of apps, simultaneously. GPU-acceleration with NVIDIA vPC takes on the needs of the new digital world. -
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NVIDIA NetQ
NVIDIA Networking
NVIDIA NetQ™ is a highly scalable, modern network operations toolset that provides visibility, troubleshooting, and validation of your Cumulus and SONiC fabrics in real time. NetQ utilizes telemetry and delivers actionable insights about the health of your data center network, integrating the fabric into your DevOps ecosystem. NetQ natively supports NVIDIA® What Just Happened® (WJH) through the Spectrum® ASIC for hardware-accelerated detection and reporting of data plane anomalies and intermittent network issues. ... -
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NVIDIA NGC
NVIDIA
NVIDIA GPU Cloud (NGC) is a GPU-accelerated cloud platform optimized for deep learning and scientific computing. NGC manages a catalog of fully integrated and optimized deep learning framework containers that take full advantage of NVIDIA GPUs in both single GPU and multi-GPU configurations. NVIDIA train, adapt, and optimize (TAO) is an AI-model-adaptation platform that simplifies and accelerates the creation of enterprise AI applications and services. -
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NVIDIA Modulus
NVIDIA
NVIDIA Modulus is a neural network framework that blends the power of physics in the form of governing partial differential equations (PDEs) with data to build high-fidelity, parameterized surrogate models with near-real-time latency. Whether you’re looking to get started with AI-driven physics problems or designing digital twin models for complex non-linear, multi-physics systems, NVIDIA Modulus can support your work. -
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NVIDIA Cloud Functions
NVIDIA
NVIDIA Cloud Functions (NVCF) is a serverless API designed to deploy and manage AI workloads on GPUs, providing security, scalability, and reliability. It supports HTTP polling, HTTP streaming, and gRPC protocols for accessing workloads. Cloud Functions is primarily suited for shorter-running, preemptable workloads such as inferencing and fine-tuning. -
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Anyscale
Anyscale
Anyscale is a unified AI platform built around Ray, the world’s leading AI compute engine, designed to help teams build, deploy, and scale AI and Python applications efficiently. The platform offers RayTurbo, an optimized version of Ray that delivers up to 4.5x faster data workloads, 6.1x cost savings on large language model inference, and up to 90% lower costs through elastic training and spot instances. Anyscale provides a seamless developer experience with integrated tools like VSCode and...Starting Price: $0.00006 per minute -
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NVIDIA Run:ai
NVIDIA
...It also features a powerful policy engine for strategic resource governance, reducing manual intervention. With proven results like 10x GPU availability and 5x utilization, NVIDIA Run:ai accelerates AI development cycles and boosts ROI. -
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GeForce NOW
NVIDIA
GeForce NOW is NVIDIA’s cloud-gaming service that lets you stream high-end PC gaming from remote servers to almost any device, without needing a powerful local GPU. You connect your existing game libraries or play supported free-to-play titles. The service delivers RTX-powered visuals, a library of over 4,000 games, support for real-time ray tracing, and very low latency streaming.Starting Price: $99.99 per year -
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NVIDIA Cumulus Linux
NVIDIA Networking
Reduce complexities and benefit from complete interoperability across your entire data center with Linux. Get additional levels of security, exclusive to Cumulus Linux, in addition to industry-standard security features. Use the existing Linux-based management tools and talent, and benefit from the ability to assign more switches per engineer. Easily leverage native integration and best-of-breed tools for automation, monitoring, analytics, and more. Run multiple network paths without the... -
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QumulusAI
QumulusAI
...QumulusAI is universalizing access to AI supercomputing, removing the constraints of legacy HPC and delivering the scalable, high-performance computing AI demands today. And tomorrow too. No virtualization overhead, no noisy neighbors, just dedicated, direct access to AI servers optimized with NVIDIA’s latest GPUs (H200) and Intel/AMD CPUs. QumulusAI offers HPC infrastructure uniquely configured around your specific workloads, instead of legacy providers’ one-size-fits-all approach. We collaborate with you through design, deployment, to ongoing optimization, adapting as your AI projects evolve, so you get exactly what you need at each step. ... -
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Amazon EC2 P5 Instances
Amazon
Amazon Elastic Compute Cloud (Amazon EC2) P5 instances, powered by NVIDIA H100 Tensor Core GPUs, and P5e and P5en instances powered by NVIDIA H200 Tensor Core GPUs deliver the highest performance in Amazon EC2 for deep learning and high-performance computing applications. They help you accelerate your time to solution by up to 4x compared to previous-generation GPU-based EC2 instances, and reduce the cost to train ML models by up to 40%. -
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Amazon EC2 P4 Instances
Amazon
Amazon EC2 P4d instances deliver high performance for machine learning training and high-performance computing applications in the cloud. Powered by NVIDIA A100 Tensor Core GPUs, they offer industry-leading throughput and low-latency networking, supporting 400 Gbps instance networking. P4d instances provide up to 60% lower cost to train ML models, with an average of 2.5x better performance for deep learning models compared to previous-generation P3 and P3dn instances. Deployed in hyperscale clusters called Amazon EC2 UltraClusters, P4d instances combine high-performance computing, networking, and storage, enabling users to scale from a few to thousands of NVIDIA A100 GPUs based on project needs. ...Starting Price: $11.57 per hour -
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Amazon EC2 G4 Instances
Amazon
Amazon EC2 G4 instances are optimized for machine learning inference and graphics-intensive applications. It offers a choice between NVIDIA T4 GPUs (G4dn) and AMD Radeon Pro V520 GPUs (G4ad). G4dn instances combine NVIDIA T4 GPUs with custom Intel Cascade Lake CPUs, providing a balance of compute, memory, and networking resources. These instances are ideal for deploying machine learning models, video transcoding, game streaming, and graphics rendering. G4ad instances, featuring AMD Radeon Pro V520 GPUs and 2nd-generation AMD EPYC processors, deliver cost-effective solutions for graphics workloads. ... -
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RunPod
RunPod
RunPod offers a cloud-based platform designed for running AI workloads, focusing on providing scalable, on-demand GPU resources to accelerate machine learning (ML) model training and inference. With its diverse selection of powerful GPUs like the NVIDIA A100, RTX 3090, and H100, RunPod supports a wide range of AI applications, from deep learning to data processing. The platform is designed to minimize startup time, providing near-instant access to GPU pods, and ensures scalability with autoscaling capabilities for real-time AI model deployment. RunPod also offers serverless functionality, job queuing, and real-time analytics, making it an ideal solution for businesses needing flexible, cost-effective GPU resources without the hassle of managing infrastructure.Starting Price: $0.40 per hour -
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CloudPe
Leapswitch Networks
...Key Offerings: Virtual Machines: High-performance VMs designed for various business needs, including hosting websites, building applications, and data processing. GPU Instances: NVIDIA-powered GPUs for AI, machine learning, and high-performance computing, available on-demand. Kubernetes-as-a-Service: Simplified container orchestration for deploying and managing containerized applications efficiently. S3-Compatible Storage: Highly scalable and cost-effective storage solutions. Load Balancers: Intelligent load balancing to distribute traffic evenly across resources, ensuring fast and reliable performance. ...Starting Price: ₹931/month -
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VDIPOD
Creative ITC
...VDIPOD was built for business continuity, workforce mobility and global collaboration to provide effective virtual desktop solutions. It combines best-of-breed technologies – including VMware Horizon VDI, Dell PowerEdge servers, Nvidia GRID graphics cards, Cisco networking & security, F5 Load Balancing and NetApp storage.Starting Price: $30 -
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ShellBean
ShellBean
...Features: Multi-level jump server support Built-in text editor for easy file editing Multiple color schemes and font settings for SSH terminal iPad split-screen support iOS 17 Widget for monitoring servers on the Home Screen SSH terminal and Zmodem file transfer port forwarding (local, remote, dynamic) Secure iCloud synchronization View process list sorted by PID, CPU, and MEM Monitor CPU core usage, temperature, memory usage, and network traffic Disk partition occupancy and read/write rates NVIDIA graphics card status monitoring Batch snippet execution on selected serversStarting Price: $24.99 -
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Arm Forge
Arm
Build reliable and optimized code for the right results on multiple Server and HPC architectures, from the latest compilers and C++ standards to Intel, 64-bit Arm, AMD, OpenPOWER, and Nvidia GPU hardware. Arm Forge combines Arm DDT, the leading debugger for time-saving high-performance application debugging, Arm MAP, the trusted performance profiler for invaluable optimization advice across native and Python HPC codes, and Arm Performance Reports for advanced reporting capabilities. Arm DDT and Arm MAP are also available as standalone products. ... -
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Azure Stack Edge
Microsoft
...Analyze, transform, and filter data at the edge, sending only the data you need to the cloud for further processing or storage. Build and train machine learning models in Azure or use Azure Cognitive service, and then utilize the built-in NVIDIA T4 GPU or Intel VPU in the Mini R to accelerate the results locally.Starting Price: $399 per month -
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HWMonitor
CPUID
...Preliminary support of Intel Alder Lake, Z6xx platform and DDR5 memory. AMD Ryzen 5700G, 5600G and 5300G APUs. AMD Radeon RX 6900 XT and 6700 XT GPUs. Added hotspot and GDDR6 temperatures on NVIDIA GPUs. Run the setup executable file, and let it guide you for the installation process. You can remove the program either from the Add or Remove Programs window (from Settings, Control Panel), or choose Uninstall HWMonitor from Start menu, Programs, CPUID, HWMonitor. If you notice a bug in a sensor report, or an undefined value, please select the "File" menu and choose "Save" to generate a complete report as a text file.
