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I have this bug, and I can’t figure out what is wrong.

I have this bug, and I can't figure out what is wrong. submitted by /u/StarDingo
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Catch Up on Top GTC Sessions for Game Developers

Game developers around the world attended GTC to experience how the latest NVIDIA technologies are creating realistic graphics and interactive experiences in gaming.  Catch up on the top sessions available on NVIDIA On-Demand now.

Game developers around the world attended GTC to experience how the latest NVIDIA technologies are creating realistic graphics and interactive experiences in gaming.  

We showcased the NVIDIA-powered tools that deliver stunning graphics and improved game performance, and how developers are integrating that technology into popular game titles such as Minecraft, Cyberpunk 2077, LEGO Builder’s Journey, and more. All of these GTC sessions are now available through NVIDIA On-Demand, so you can catch up on the latest tools and techniques in game development, from real-time ray tracing to low-latency software development kits.

Ray Tracing in One Weekend

Watch this session to get a beginners introduction to ray tracing. Peter Shirley, author of the popular book, Ray Tracing in One Weekend, showed audiences how to use ray tracing to create amazing images.

Ray Tracing in Cyberpunk 2077

Cyberpunk 2077 is a role-playing game set in Night City, a futuristic megalopolis full of contrasts, shadows, reflections, and radiant neons. Learn about the challenges of creating the graphics for Night City, and how the team approached the game lighting for Cyberpunk 2077.

Crysis Remastered: RTX Features

Get insights into the work that went into delivering RTX features in one of the greatest games of all time, from adding support for ray tracing without having to port the entire DX11 engine, to the ins-and-outs of how the team got NVIDIA DLSS to work.

LEGO Builder’s Journey: Rendering Realistic LEGO Bricks using Ray Tracing in Unity

Learn how LEGO dioramas were rendered in real time using Unity high-definition render pipeline and ray tracing. From lighting and materials to geometry processing and post effects, get an inside look into how the team got as close to realism as possible in a limited time. During this talk, we announced that NVIDIA DLSS will be natively integrated into Unity by the end of the year.

RTXGI in Five Nights at Freddy’s: Security Breach 

Learn how Steelwool Game and NVIDIA worked closely to develop and implement RTXGI for Five Nights at Freddy’s: Security Breach. This session dives into the use of RTXGI, and using ray tracing on modern hardware.

Check out all the game developer sessions at GTC, now available for free through NVIDIA On-Demand. 

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A Further Step to Getting GeForce Cards into the Hands of Gamers

GeForce products are made for gamers — and packed with innovations. Our RTX 30 Series is built on our second-generation RTX architecture, with dedicated RT Cores and Tensor Cores, delivering amazing visuals and performance to gamers and creators. Because NVIDIA GPUs are programmable, users regularly discover new applications for them, from weather simulation and gene Read article >

The post A Further Step to Getting GeForce Cards into the Hands of Gamers appeared first on The Official NVIDIA Blog.

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Weights become nan’s after 1 minibatch when learning rate is 0

My learning rate is set to 0. For my network, when i training a single minibatch, everything seems fine. As soon as I train the second minibatch, all the weights go to nan’s. Any ideas on why? I am not using batchnorm in my model.

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7 Best Python Libraries You Shouldn’t Miss in 2021 – DZone Big Data

7 Best Python Libraries You Shouldn't Miss in 2021 - DZone Big Data submitted by /u/sharmaniti437
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Let’s do our part to save our Scientific Community

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Tensorflow backend file location

Can anyone tell me where tensorflow_backend.py file is located. It is downloaded in a virtual environment in ubuntu

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Securing and Accelerating Modern Data Center Workloads with NVIDIA ASAP² Technology

At GTC 2021, global technology partners together with NVIDIA showcased the ways in which they leverage the ASAP2 technology to secure and accelerate modern data center workloads.

NVIDIA’s accelerated switching and packet processing (ASAP2) technology is becoming ubiquitous to supercharging networking and security for the most demanding applications.

Modern data center networks are increasingly becoming virtualized and provisioned as a service. These software-defined networks (SDN) deliver great flexibility and control, enabling you to easily scale from the premises of one data center to multi- and hybrid-cloud environments. The longstanding conflict between implementing SDN technologies and hardware-accelerated networking, namely SR-IOV, has primarily been due to fundamental differences between the two: SDN, abstracts the underlying NIC hardware and provides a virtualized network device to a virtual machine/container pod. SDN also utilizes a considerable amount of CPU processing capacity that would otherwise be used for running business applications. SR-IOV, however, does the exact opposite, providing a direct interface between the virtual machine/container pod and the NIC hardware. It bypasses the host’s CPU and operating system and thus frees up expensive CPU resources from I/O tasks. Having said that, cloud builders tend to avoid SR-IOV as it takes away live migration and sometimes requires installing a network driver on the guest operating-system. This discord between SDN and SR-IOV accelerated networking has forced system architects and network engineers to prioritize one over the other, often at the cost of poor application performance or inflexible system design, and higher TCO.

NVIDIA ASAP2 — Providing the Best of Both Worlds

NVIDIA accelerated switching and packet processing technology (ASAP2), featured in ConnectX SmartNICs and BlueField data processing units (DPUs), delivers breakthrough data center networking performance, with zero CPU utilization. At the heart of ASAPis the eSwitch–an ASIC-embedded switch that delivers the performance and efficiency of bare-metal server networking together with the flexibility of SDN. The beauty of the eSwitch lies in how it allows the SmartNIC/DPU to handle a large portion of the packet-processing operations in the hardware, freeing up the host’s CPU and providing higher network throughput. Nearly all traffic in and out of the server—and even between the server-hosted VMs or containers—can be processed quickly by the eSwitch.

The NVIDIA ASAP2 technology stack provides a range of network acceleration capabilities that enable customers to choose between maximum performance (SR-IOV) or support for legacy environments (VirtIO), etc., all while maintaining the SDN layer. BlueField DPUs also offload and isolate the SDN control plane software on the Arm cores. This provides additional CPU savings along with better control and enhanced security for cloud operators in bare metal, virtualized, and containerized environments.

The ASAP2 technology is integrated upstream in the Linux kernel and in a range of leading SDN frameworks. The following diagram illustrates how NVIDIA SmartNICs and DPUs leverage ASAP2 technology to accelerate the OVS stack in hardware:

At GTC 2021, global technology partners together with NVIDIA showcased the ways in which they leverage the ASAP2 technology to secure and accelerate modern data center workloads. Scroll below to find information on the featured sessions and their respective use-cases.

China Mobile Accelerates Networking For Its Public Cloud Service

In this session, NVIDIA hosts industry experts from China Mobile and Nuage Networks discuss China Mobile’s  implementation of a Nuage SDN solution powered by the NVIDIA ASAP2 technology, for its public cloud service. This session highlights the ASAP2 vDPA acceleration technology, including its benefits and drawbacks compared to SR-IOV, as well as performance expectations.

Speakers:
Sharko Cheng, Senior Network Architect, Cloud Networking Products Department, CMCC
Mark Iskra, Director, Nokia/Nuage Networks
Ash Bhalgat, Senior Director, Cloud, Telco & Security Market Development, NVIDIA

Watch on-demand: Turbocharge Cloud-Native Applications with Virtual Data Plane Accelerated Networking

NVIDIA Secures and Accelerates GeForce NOW Cloud Gaming Platform

At NVIDIA we always strive to put our products to work before taking them to market. GeForce NOW (GFN) is NVIDIA’s cloud gaming service that runs on powerful computing platforms across 20 data centers, servicing more than 10 million subscribers. The GFN networking team has partnered internally with the NVIDIA Networking business unit to design, implement and test an OVN Kubernetes infrastructure, accelerated with NVIDIA ASAP2 technology. The result is a fully integrated cloud-native SDN platform that provides a high throughput, low latency connectivity solution with built-in security. The session dives deep into the cloud platform architecture and the ASAP2 acceleration stack that are geared towards providing epic gaming experience.

Speakers:
Leonid Grossman, Director, Cloud Networking, NVIDIA
Majd Debini, Software Director, Cloud Acceleration, NVIDIA

Watch on-demand: Building GeForce Now Private Cloud Networking Infrastructure using NVIDIA DPUs

Mavenir Partners With NVIDIA to Accelerate 5G UPF Applications

With 5G wireless networks being 10 times faster and supporting 10,000 times more network traffic than 4G, 5G Core is one of the most demanding data center workloads out there. Mavenir, a leading network software provider, partnered with NVIDIA to accelerate its cloud-native 5G core solution using the ASAP2 technology. The session brought together two product leaders from Mavenir and NVIDIA to discuss a number of issues, including the need for hardware acceleration to deliver on the promise of 5G, how NVIDIA ASAP2 has been integrated to Mavenir’s 5G User Plane Function (UPF), and how the technology is positioned to accelerate network functions (NFs) more broadly. This session is unique in the sense that ASAP2 is used not only to accelerate the SDN layer, but also to accelerate the application pipeline.

Speakers:
Manikandan Sankaran, Director, Product Management, Mavenir
Gal Haim Cohen, Director, Product Management, NVIDIA

Watch on-demand: High Performance Mavenir UPF with SmartNIC Offloads

Palo Alto Networks Collaborates With NVIDIA on 5G Security Acceleration

At the forefront of cybersecurity, Palo Alto Networks has partnered with NVIDIA to integrate the ASAP2 technology with the flagship PAN-OS next-generation firewall (NGFW) for addressing the stringent performance requirements of 5G networks. What they’ve built is an innovative solution that uses the NVIDIA BlueField DPU to offload policy enforcement based on application classification. Most of the data in terms of volume and bandwidth doesn’t need inspection through the firewall and is processed in hardware. The solution is dynamic in the sense that as threats evolve, the solution adapts without changing the underlying infrastructure. Initial performance results indicate ~5X improvement. The demos at the end do a great job of showing how the solution can both scale in terms of performance and system tuning,  and offload real-world traffic in conjunction with PAN’s next-generation firewall.

Speakers:
Sree Koratala, VP Product Management Mobility Security, Palo Alto Networks
John McDowall, Senior Distinguished Engineer, Palo Alto Networks
Ash Bhalgat, Senior Director, Cloud, Telco & Security Market Development, NVIDIA

Watch on-demand: Accelerated 5G Security: DPU-Based Acceleration of Next-Generation Firewalls

VMware and NVIDIA Accelerate Hybrid Cloud Networking and Security

Digital infrastructure leader VMware has partnered with NVIDIA to bring AI to every enterprise and to deliver a new architecture for the hybrid cloud. VMware project Monterey is a large-scale effort to re-architect its prominent VMware Cloud Foundation stack to use NVIDIA BlueField DPUs. A major part of this effort includes offloading, accelerating and isolating VMware’s ESXi networking to BlueField leveraging the NVIDIA ASAP2 technology. This session introduces the next-generation cloud foundation architecture and the role of NVIDIA BlueField DPUs to run VMware’s NSX network and security services. Tune in to get a first look at how BlueField DPUs can be managed using existing VMware tooling, enabling new and advanced functionalities while providing familiar user experience.

Speakers:
Sudhanshu (Suds) Jain, Director Product Management, VMware
Motti Beck, Senior Director, Enterprise Market Development, NVIDIA

Watch on-demand: How to Optimize Modern Workloads over Next-Generation Hybrid Cloud Architecture

Securing and Accelerating the Data Center with NVIDIA ASAP2

Modern data center workloads demand the performance and efficiency of bare-metal server networking with the flexibility of SDN. NVIDIA and its broad partner ecosystem are leveraging the advanced ASAP2 technology featured in NVIDIA’s ConnectX SmartNICs and BlueField DPUs to secure and accelerate data center workloads from cloud to edge.

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NVIDIA BlueField DPUs Fuel Unprecedented Data Center Transformation

Cloud computing and AI are pushing the boundaries of scale and performance for data centers. Anticipating this shift, industry leaders such as Baidu, Palo Alto Networks, Red Hat and VMware are using NVIDIA BlueField DPUs to transform their data center platforms into higher performing, more secure, agile platforms and bring differentiated products and services to Read article >

The post NVIDIA BlueField DPUs Fuel Unprecedented Data Center Transformation appeared first on The Official NVIDIA Blog.

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DiDi Chooses NVIDIA DRIVE for New Fleet of Self-Driving Robotaxis

Robotaxis are one major step closer to becoming reality. DiDi Autonomous Driving, the self-driving technology arm of mobility technology leader Didi Chuxing, announced last month a strategic partnership with Volvo Cars on autonomous vehicles for DiDi’s self-driving test fleet. Volvo’s autonomous drive-ready XC90 cars will be the first to integrate DiDi Gemini, a new self-driving Read article >

The post DiDi Chooses NVIDIA DRIVE for New Fleet of Self-Driving Robotaxis appeared first on The Official NVIDIA Blog.