Tag Archives: Nvidia

Autodesk Arnold 5.3 with Arnold GPU in public beta

Autodesk has made its Arnold 5.3 with Arnold GPU available as a public beta. The release provides artists with GPU rendering for a set number of features, and the flexibility to choose between rendering on the CPU or GPU without changing renderers.

From look development to lighting, support for GPU acceleration brings greater interactivity and speed to artist workflows, helping reduce iteration and review cycles. Arnold 5.3 also adds new functionality to help maximize performance and give artists more control over their rendering processes, including updates to adaptive sampling, a new version of the Randomwalk SSS mode and improved Operator UX.

Arnold GPU rendering makes it easier for artists and small studios to iterate quickly in a fast working environment and scale rendering capacity to accommodate project demands. From within the standard Arnold interface, users can switch between rendering on the CPU and GPU with a single click. Arnold GPU currently supports features such as arbitrary shading networks, SSS, hair, atmospherics, instancing, and procedurals. Arnold GPU is based on the Nvidia OptiX framework and is optimized to leverage Nvidia RTX technology.

New feature summary:
— Major improvements to quality and performance for adaptive sampling, helping to reduce render times without jeopardizing final image quality
— Improved version of Randomwalk SSS mode for more realistic shading
— Enhanced usability for Standard Surface, giving users more control
— Improvements to the Operator framework
— Better sampling of Skydome lights, reducing direct illumination noise
— Updates to support for MaterialX, allowing users to save a shading network as a MaterialX look

Arnold 5.3 with Arnold GPU in public beta will be available March 20 as a standalone subscription or with a collection of end-to-end creative tools within the Autodesk Media & Entertainment Collection. You can also try Arnold GPU with a free 30-day trial of Arnold. Arnold GPU is available in all supported plug-ins for Autodesk Maya, Autodesk 3ds Max, Houdini, Cinema 4D and Katana.

New codec, workflow options via Red, Nvidia and Adobe

By Mike McCarthy

There were two announcements last week that will impact post production workflows. The first was the launch of Red’s new SDK, which leverages Nvidia’s GPU-accelerated CUDA framework to deliver realtime playback of 8K Red footage. I’ll get to the other news shortly. Nvidia was demonstrating an early version of this technology at Adobe Max in October, and I have been looking forward to this development since I am about to start post on a feature film shot on the Red Monstro camera. This should effectively render the RedRocket accelerator cards obsolete, replacing them with cheaper, multipurpose hardware that can also accelerate other computational tasks.

While accelerating playback of 8K content at full resolution requires a top-end RTX series card from Nvidia (Quadro RTX 6000, Titan RTX or GeForce RTX 2080Ti), the technology is not dependent on RTX’s new architecture (RT and Tensor cores), allowing earlier generation hardware to accelerate smooth playback at smaller frame sizes. Lots of existing Red footage is shot at 4K and 6K, and playback of these files will be accelerated on widely deployed legacy products from previous generations of Nvidia GPU architecture. It will still be a while before this functionality is in the hands of end users, because now Adobe, Apple, Blackmagic and other software vendors have to integrate the new SDK functionality into their individual applications. But hopefully we will see those updates hitting the market soon (targeting late Q1 of 2019).

Encoding ProRes on Windows via Adobe apps
The other significant update, which is already available to users as of this week, is Adobe’s addition of ProRes encoding support on its video apps in Windows. Developed by Apple, ProRes encoding has been available on Mac for a long time, and ProRes decoding and playback has been available on Windows for over 10 years. But creating ProRes files on Windows has always been a challenge. Fixing this was less a technical challenge than a political one, as Apple owns the codec and it is not technically a standard. So while there were some hacks available at various points during that time, Apple has severely restricted the official encoding options available on Windows… until now.

With the 13.0.2 release of Premiere Pro and Media Encoder, as well as the newest update to After Effects, Adobe users on Windows systems can now create ProRes files in whatever flavor they happen to need. This is especially useful since many places require delivery of final products in the ProRes format. In this case, the new export support is obviously a win all the way around.

Adobe Premiere

Now users have yet another codec option for all of their intermediate files, prompting another look at the question: Which codec is best for your workflow? With this release, Adobe users have at least three major options for high-quality intermediate codecs: Cineform, DNxHR and now ProRes. I am limiting the scope to integrated cross-platform codecs supporting 10-bit color depth, variable levels of image compression and customizable frame sizes. Here is a quick overview of the strengths and weaknesses of each option:

ProRes
ProRes was created by Apple over 10 years ago and has become the de-facto standard throughout the industry, regardless of the fact that it is entirely owned by Apple. ProRes is now fully cross-platform compatible, has options for both YUV and RGB color and has six variations, all of which support at least 10-bit color depth. The variable bit rate compression scheme scales well with content complexity, so encoding black or static images doesn’t require as much space as full-motion video. It also supports alpha channels with compression, but only in the 444 variants of the codec.

Recent tests on my Windows 10 workstation resulted in ProRes taking 3x to 5x as much CPU power to playback as similar DNxHR of Cineform files, especially as frame sizes get larger. The codec supports 8K frame sizes but playback will require much more processing power. I can’t even playback UHD files in ProRes 444 at full resolution, while the Cineform and DNxHR files have no problem, even at 444. This is less of concern if you are only working at 1080p.

Multiply those file sizes by four for UHD content (and by 16 for 8K content).

Cineform
Cineform, which has been available since 2004, was acquired by GoPro in 2011. They have licensed the codec to Adobe, (among other vendors) and it is available as “GoPro Cineform” in the AVI or QuickTime sections of the Adobe export window. Cineform is a wavelet compression codec, with 10-bit YUV and 12-bit RGB variants, which like ProRes support compressed alpha channels in the RGB variant. The five levels of encoding quality are selected separately from the format, so higher levels of compression are available for 4444 content compared to the limited options available in the other codecs.

It usually plays back extremely efficiently on Windows, but my recent tests show that encoding to the format is much slower than it used to be. And while it has some level of support outside of Adobe applications, it is not as universally recognized as ProRes or DNxHD.

DNxHD
DNxHD was created by Avid for compressed HD playback and has now been extended to DNxHR (high resolution). It is a fixed bit rate codec, with each variant having a locked multiplier based on resolution and frame rate. This makes it easy to calculate storage needs but wastes space for files that are black or contain a lot of static content. It is available in MXF and Mov wrappers and has five levels of quality. The top option is 444 RGB, and all variants support alpha channels in Mov but uncompressed, which takes a lot of space. For whatever reason, Adobe has greatly optimized DNxHR playback in Premiere Pro, of all variants, in both MXF and Mov wrappers. On my project 6Below, I was able to get 6K 444 files to playback, with lots of effects, without dropping frames. The encodes to and from DNxHR are faster in Adobe apps as well.

So for most PC Adobe users, DNxHR-LB (low bandwidth) is probably the best codec to use for intermediate work. We are using it to offline my current project, with 2.2K DNxHR-LB, Mov files. People with a heavy Mac interchange may lean toward ProRes, but up your CPU specs for the same level of application performance.


Mike McCarthy is an online editor/workflow consultant with 10 years of experience on feature films and commercials. He has been involved in pioneering new solutions for tapeless workflows, DSLR filmmaking and multi-screen and surround video experiences. Check out his site.

Nvidia intros Turing-powered Titan RTX

Nvidia has introduced its new Nvidia Titan RTX, a desktop GPU that provides the kind of massive performance needed for creative applications, AI research and data science. Driven by the new Nvidia Turing architecture, Titan RTX — dubbed T-Rex — delivers 130 teraflops of deep learning performance and 11 GigaRays of raytracing performance.

Turing features new RT Cores to accelerate raytracing, plus new multi-precision Tensor Cores for AI training and inferencing. These two engines — along with more powerful compute and enhanced rasterization — will help speed the work of developers, designers and artists across multiple industries.

Designed for computationally demanding applications, Titan RTX combines AI, realtime raytraced graphics, next-gen virtual reality and high-performance computing. It offers the following features and capabilities:
• 576 multi-precision Turing Tensor Cores, providing up to 130 Teraflops of deep learning performance
• 72 Turing RT Cores, delivering up to 11 GigaRays per second of realtime raytracing performance
• 24GB of high-speed GDDR6 memory with 672GB/s of bandwidth — two times the memory of previous-generation Titan GPUs — to fit larger models and datasets
• 100GB/s Nvidia NVLink, which can pair two Titan RTX GPUs to scale memory and compute
• Performance and memory bandwidth sufficient for realtime 8K video editing
• VirtualLink port, which provides the performance and connectivity required by next-gen VR headsets

Titan RTX provides multi-precision Turing Tensor Cores for breakthrough performance from FP32, FP16, INT8 and INT4, allowing faster training and inference of neural networks. It offers twice the memory capacity of previous-generation Titan GPUs, along with NVLink to allow researchers to experiment with larger neural networks and datasets.

Titan RTX accelerates data analytics with RAPIDS. RAPIDS open-source libraries integrate seamlessly with the world’s most popular data science workflows to speed up machine learning.

Titan RTX will be available later in December in the US and Europe for $2,499.

postPerspective Impact Award winners from SIGGRAPH 2018

postPerspective has announced the winners of our Impact Awards from SIGGRAPH 2018 in Vancouver. Seeking to recognize debut products with real-world applications, the postPerspective Impact Awards are voted on by an anonymous judging body made up of respected industry artists and professionals. It’s working pros who are going to be using new tools — so we let them make the call.

The awards honor innovative products and technologies for the visual effects, post production and production industries that will influence the way people work. They celebrate companies that push the boundaries of technology to produce tools that accelerate artistry and actually make users’ working lives easier.

While SIGGRAPH’s focus is on VFX, animation, VR/AR, AI and the like, the types of gear they have on display vary. Some are suited for graphics and animation, while others have uses that slide into post production, which makes these SIGGRAPH Impact Awards doubly interesting.

The winners are as follows:

postPerspective Impact Award — SIGGRAPH 2018 MVP Winner:

They generated a lot of buzz at the show, as well as a lot of votes from our team of judges, so our MVP Impact Award goes to Nvidia for its Quadro RTX raytracing GPU.

postPerspective Impact Awards — SIGGRAPH 2018 Winners:

  • Maxon for its Cinema 4D R20 3D design and animation software.
  • StarVR for its StarVR One headset with integrated eye tracking.

postPerspective Impact Awards — SIGGRAPH 2018 Horizon Winners:

This year we have started a new Imapct Award category. Our Horizon Award celebrates the next wave of impactful products being previewed at a particular show. At SIGGRAPH, the winners were:

  • Allegorithmic for its Substance Alchemist tool powered by AI.
  • OTOY and Epic Games for their OctaneRender 2019 integration with UnrealEngine 4.

And while these products and companies didn’t win enough votes for an award, our voters believe they do deserve a mention and your attention: Wrnch, Google Lightfields, Microsoft Mixed Reality Capture and Microsoft Cognitive Services integration with PixStor.

 

GTC embraces machine learning and AI

By Mike McCarthy

I had the opportunity to attend GTC 2018, Nvidia‘s 9th annual technology conference in San Jose this week. GTC stands for GPU Technology Conference, and GPU stands for graphics processing unit, but graphics makes up a relatively small portion of the show at this point. The majority of the sessions and exhibitors are focused on machine learning and artificial intelligence.

And the majority of the graphics developments are centered around analyzing imagery, not generating it. Whether that is classifying photos on Pinterest or giving autonomous vehicles machine vision, it is based on the capability of computers to understand the content of an image. Now DriveSim, Nvidia’s new simulator for virtually testing autonomous drive software, dynamically creates imagery for the other system in the Constellation pair of servers to analyze and respond to, but that is entirely machine-to-machine imagery communication.

The main exception to this non-visual usage trend is Nvidia RTX, which allows raytracing to be rendered in realtime on GPUs. RTX can be used through Nvidia’s OptiX API, as well as Microsoft’s DirectX RayTracing API, and eventually through the open source Vulkan cross-platform graphics solution. It integrates with Nvidia’s AI Denoiser to use predictive rendering to further accelerate performance, and can be used in VR applications as well.

Nvidia RTX was first announced at the Game Developers Conference last week, but the first hardware to run it was just announced here at GTC, in the form of the new Quadro GV100. This $9,000 card replaces the existing Pascal-based GP100 with a Volta-based solution. It retains the same PCIe form factor, the quad DisplayPort 1.4 outputs and the NV-Link bridge to pair two cards at 200GB/s, but it jumps the GPU RAM per card from 16GB to 32GB of HBM2 memory. The GP100 was the first Quadro offering since the K6000 to support double-precision compute processing at full speed, and the increase from 3,584 to 5,120 CUDA cores should provide a 40% increase in performance, before you even look at the benefits of the 640 Tensor Cores.

Hopefully, we will see simpler versions of the Volta chip making their way into a broader array of more budget-conscious GPU options in the near future. The fact that the new Nvidia RTX technology is stated to require Volta architecture CPUs leads me to believe that they must be right on the horizon.

Nvidia also announced a new all-in-one GPU supercomputer — the DGX-2 supports twice as many Tesla V100 GPUs (16) with twice as much RAM each (32GB) compared to the existing DGX-1. This provides 81920 CUDA cores addressing 512GB of HBM2 memory, over a fabric of new NV-Link switches, as well as dual Xeon CPUs, Infiniband or 100GbE connectivity, and 32TB of SSD storage. This $400K supercomputer is marketed as the world’s largest GPU.

Nvidia and their partners had a number of cars and trucks on display throughout the show, showcasing various pieces of technology that are being developed to aid in the pursuit of autonomous vehicles.

Also on display in the category of “actually graphics related” was the new Max-Q version of the mobile Quadro P4000, which is integrated into PNY’s first mobile workstation, the Prevail Pro. Besides supporting professional VR applications, the HDMI and dual DisplayPort outputs allow a total of three external displays up to 4K each. It isn’t the smallest or lightest 15-inch laptop, but it is the only system under 17 inches I am aware of that supports the P4000, which is considered the minimum spec for professional VR implementation.

There are, of course, lots of other vendors exhibiting their products at GTC. I had the opportunity to watch 8K stereo 360 video playing off of a laptop with an external GPU. I also tried out the VRHero 5K Plus enterprise-level HMD, which brings the VR experience to whole other level. Much more affordable is TP-Cast’s $300 wireless upgrade Vive and Rift HMDs, the first of many untethered VR solutions. HTC has also recently announced the Vive Pro, which will be available in April for $800. It increases the resolution by 1/3 in both dimensions to 2880×1600 total, and moves from HDMI to DisplayPort 1.2 and USB-C. Besides VR products, they also had all sorts of robots in various forms on display.

Clearly the world of GPUs has extended far beyond the scope of accelerating computer graphics generation, and Nvidia is leading the way in bringing massive information processing to a variety of new and innovative applications. And if that leads us to hardware that can someday raytrace in realtime at 8K in VR, then I suppose everyone wins.


Mike McCarthy is an online editor/workflow consultant with 10 years of experience on feature films and commercials. He has been involved in pioneering new solutions for tapeless workflows, DSLR filmmaking and multi-screen and surround video experiences. Check out his site.

V-Ray GPU is Chaos Group’s new GPU rendering architecture

Chaos Group has redesigned its V-Ray RT product. The new V-Ray GPU rendering architecture, according to the company, effectively doubles the speed of production rendering for film, broadcast and design artists. This represents a redesign of V-Ray’s kernel structure, ensuring a dual-blend of high-performance speed and accuracy.

Chaos Group has renamed V-Ray RT to V-Ray GPU, wanting to establish the latter as a professional production renderer capable of supporting volumetrics, advanced shading and other smart tech coming down the road.

Current internal tests have V-Ray GPU running 80 percent faster on the Nvidia’s Titan V, a big gain from previous benchmarks on the Titan Xp, and up to 10-15x faster than an Intel Core i7-7700K, with the same high level of accuracy across interactive and production renders. (For its testing, Chaos Group uses a battery of production scenes to benchmark each release.)

“V-Ray GPU might be the biggest speed leap we’ve ever made,” says Blagovest Taskov, V-Ray GPU lead developer at Chaos Group. “Redesigning V-Ray GPU to be modular makes it much easier for us to exploit the latest GPU architectures and to add functionality without impacting performance. With our expanded feature set, V-Ray GPU can be used in many more production scenarios, from big-budget films to data-heavy architecture projects, while providing more speed than ever before.”

Representing over two years of dedicated R&D, V-Ray GPU builds on nine years of GPU-driven development in V-Ray. New gains for production artists include:

• Volume Rendering – Fog, smoke and fire can be rendered with the speed of V-Ray GPU. It’s compatible with V-Ray Volume Grid, which supports OpenVDB, Field3D and Phoenix FD volume caches.
• Adaptive Dome Light – Cleaner image-based lighting is now faster and even more accurate.
• V-Ray Denoising – Offering GPU-accelerated denoising across render elements and animations.
• Nvidia AI Denoiser – Fast, real-time denoising based on Nvidia OptiX AI-accelerated denoising technology.
• Interface Support – Instant filtering of GPU-supported features lets artists know what’s available in V-Ray GPU (starting within 3ds Max).

V-Ray GPU will be made available as part of the next update of V-Ray Next for 3ds Max beta.

Epic Games, Nvidia team on enterprise solutions for VR app developers

Epic Games and Nvidia have teamed up to offer enterprise-grade solutions to help app developers create more immersive VR experiences.

To help ease enterprise VR adoption, Epic has integrated Nvidia Quadro professional GPUs into the test suite for Unreal Engine 4, the company’s realtime toolset for creating applications across PC, console, mobile, VR and AR platforms. This ensures Nvidia technologies integrate seamlessly into developers’ workflows, delivering results for everything from CAVEs and multi-projection systems through to enterprise VR and AR solutions.

“With our expanding focus on industries outside of games, we’ve aligned ourselves ever more closely with Nvidia to offer an enterprise-grade experience,” explains Marc Petit, GM of the Unreal Engine Enterprise business. “Nvidia Quadro professional GPUs empower artists, designers and content creators who need to work unencumbered with the largest 3D models and datasets, tackle complex visualization challenges and deliver highly immersive VR experiences.”

The Human Race

One project that has driven this effort is Epic’s collaboration with GM and The Mill on The Human Race, a realtime short film and mixed reality experience featuring a configurable Chevrolet Camaro ZL1, which was built using Nvidia Quadro pro graphics.

Says Bob Pette, VP of professional visualization at Nvidia, “Unreal, from version 4.16, is the first realtime toolset to meet Nvidia Quadro partner standards. Our combined solution provides leaders in these markets the reliability and performance they require for the optimum VR experience.”

PNY’s PrevailPro mobile workstations feature 4K displays, are VR-capable

PNY has launched the PNY PrevailPro P4000 and P3000, thin and light mobile workstations. With their Nvidia Max-Q design, these innovative systems are designed from the Quadro GPU out.

“Our PrevailPro [has] the ability to drive up to four 4K UHD displays at once, or render vividly interactive VR experiences, without breaking backs or budgets,” says Steven Kaner, VP of commercial and OEM sales at PNY Technologies. “The increasing power efficiency of Nvidia Quadro graphics and our P4000-based P955 Nvidia Max-Q technology platform, allows PNY to deliver professional performance and features in thin, light, cool and quiet form factors.”

P3000

PrevailPro features the Pascal architecture within the P4000 and P3000 mobile GPUs, with Intel Core i7-7700HQ CPUs and the HM175 Express chipset.

“Despite ever increasing mobility, creative professionals require workstation class performance and features from their mobile laptops to accomplish their best work, from any location,” says Bob Pette, VP, Nvidia Professional Visualization. “With our new Max-Q design and powered by Quadro P4000 and P3000 mobile GPUs, PNY’s new PrevailPro lineup offers incredibly light and thin, no-compromise, powerful and versatile mobile workstations.”

The PrevailPro systems feature either a 15.6-inch 4K UHD or FHD display – and the ability to drive three external displays (2x mDP 1.4 and HDMI 2.0 with HDCP), for a total of four simultaneously active displays. The P4000 version supports fully immersive VR, the Nvidia VRWorks software development kit and innovative immersive VR environments based on the Unreal or Unity engines.

With 8GB (P4000) or 6GB (P3000) of GDDR5 GPU memory, up to 32GB of DDR4 2400MHz DRAM, 512GB SSD availability, HDD options up to 2TB, a comprehensive array of I/O ports, and the latest Wi-Fi and Bluetooth implementations, PrevailPro is compatible with all commonly used peripherals and network environments — and provides pros with the interfaces and storage capacity needed to complete business-critical tasks. Depending on the use case, Mobile Mark 2014 projects the embedded Li polymer battery can reach five hours over a lifetime of 1,000 charge/discharge cycles.

PrevailPro’s thin and light form factor measures 14.96×9.8×0.73 inches (379mm x 248mm x 18mm) and weighs 4.8 lbs.

 

Choosing the right workstation set-up for the job

By Lance Holte

Like virtually everything in the world of filmmaking, the number of available options for a perfect editorial workstation are almost infinite. The vast majority of systems can be greatly customized and expanded, whether by custom order, upgraded internal hardware or with expansion chassis and I/O boxes. In a time when many workstations are purchased, leased or upgraded for a specific project, the workstation buying process is largely determined by the project’s workflow and budget.

One of Harbor Picture Company’s online rooms.

In my experience, no two projects have identical workflows. Even if two projects are very similar, there are usually some slight differences — a different editor, a new camera, a shorter schedule, bigger storage requirements… the list goes on and on. The first step for choosing the optimal workstation(s) for a project is to ask a handful of broad questions that are good starters for workflow design. I generally start by requesting the delivery requirements, since they are a good indicator of the size and scope of the project.

Then I move on to questions like:

What are the camera/footage formats?
How long is the post production schedule?
Who is the editorial staff?

Often there aren’t concrete answers to these questions at the beginning of a project, but even rough answers point the way to follow-up questions. For instance, Q: What are the video delivery requirements? A: It’s a commercial campaign — HD and SD ProRes 4444 QTs.

Simple enough. Next question.

Christopher Lam from SF’s Double Fine Productions/ Courtesy of Wacom.

Q: What is the camera format? A: Red Weapon 6K, because the director wants to be able to do optical effects and stabilize most of the shots. This answer makes it very clear that we’re going to be editing offline, since the commercial budget doesn’t allow for the purchase of a blazing system with a huge, fast storage array.

Q: What is the post schedule? A: Eight weeks. Great. This should allow enough time to transcode ProRes proxies for all the media, followed by offline and online editorial.

At this point, it’s looking like there’s no need for an insanely powerful workstation, and the schedule looks like we’ll only need one editor and an assistant. Q: Who is the editorial staff? A: The editor is an Adobe Premiere guy, and the ad agency wants to spend a ton of time in the bay with him. Now, we know that agency folks really hate technical slowdowns that can sometimes occur with equipment that is pushing the envelope, so this workstation just needs to be something that’s simple and reliable. Macs make agency guys comfortable, so let’s go with a Mac Pro for the editor. If possible, I prefer to connect the client monitor directly via HDMI, since there are no delay issues that can sometimes be caused by HDMI to SDI converters. Of course, since that will use up the Mac Pro’s single HDMI port, the desktop monitors and the audio I/O box will use up two or three Thunderbolt ports. If the assistant editor doesn’t need such a powerful system, a high-end iMac could suffice.

(And for those who don’t mind waiting until the new iMac Pro ships in December, Apple’s latest release of the all-in-one workstation seems to signal a committed return for the company to the professional creative world – and is an encouraging sign for the Mac Pro overhaul in 2018. The iMac Pro addresses its non-upgradability by futureproofing itself as the most powerful all-in-one machine ever released. The base model starts at a hefty $4,999, but boasts options for up to a 5K display, 18-core Xeon processor, 128GB of RAM, and AMD Radeon Vega GPU. As more and more applications add OpenCL acceleration (AMD GPUs), the iMac Pro should stay relevant for a number of years.)

Now, our workflow would be very different if the answer to the first question had instead been A: It’s a feature film. Technicolor will handle the final delivery, but we still want to be able to make in-house 4K DCPs for screenings, EXR and DPX sequences for the VFX vendors, Blu-ray screeners, as well as review files and create all the high-res deliverables for mastering.

Since this project is a feature film, likely with a much larger editorial staff, the workflow might be better suited to editorial in Avid (to use project sharing/bin locking/collaborative editing). And since it turns out that Technicolor is grading the film in Blackmagic Resolve, it makes sense to online the film in Resolve and then pass the project over to Technicolor. Resolve will also cover any in-house temp grading and DCP creation and can handle virtually any video file.

PCs
For the sake of comparison, let’s build out some workstations on the PC side that will cover our editors, assistants, online editors, VFX editors and artists, and temp colorist. PC vs. Mac will likely be a hotly debated topic in this industry for some time, but there is no denying that a PC will return more cost-effective power at the expense of increased complexity (and potential for increased technical issues) than a Mac with similar specs. I also appreciate the longer lifespan of machines with easy upgradability and expandability without requiring expansion chassis or external GPU enclosures.

I’ve had excellent success with the HP Z line — using z840s for serious finishing machines and z440s and z640s for offline editorial workstations. There are almost unlimited options for desktop PCs, but only certain workstations and components are certified for various post applications, so it pays to do certification research when building a workstation from the ground up.

The Molecule‘s artist row in NYC.

It’s also important to keep the workstation components balanced. A system is only as strong as its weakest link, so a workstation with an insanely powerful GPU, but only a handful of CPU cores will be outperformed by a workstation with 16-20 cores and a moderately high-end GPU. Make sure the CPU, GPU, and RAM are similarly matched to get the best bang for your buck and a more stable workstation.

Relationships!
Finally, in terms of getting the best bang for your buck, there’s one trick that reigns supreme: build great relationships with hardware companies and vendors. Hardware companies are always looking for quality input, advice and real-world testing. They are often willing to lend (or give) new equipment in exchange for case studies, reviews, workflow demonstrations and press. Creating relationships is not only a great way to stay up to date with cutting edge equipment, it expands support options, your technical network and is the best opportunity to be directly involved with development. So go to trade shows, be active on forums, teach, write and generally be as involved as possible and your equipment will thank you.

Our Main Image Courtesy of editor/compositor Fred Ruckel.

 


Lance Holte is an LA-based post production supervisor and producer. He has spoken and taught at such events as NAB, SMPTE, SIGGRAPH and Createasphere. You can email him at lance@lanceholte.com.

What was new at GTC 2017

By Mike McCarthy

I, once again, had the opportunity to attend Nvidia’s GPU Technology Conference (GTC) in San Jose last week. The event has become much more focused on AI supercomputing and deep learning as those industries mature, but there was also a concentration on VR for those of us from the visual world.

The big news was that Nvidia released the details of its next-generation GPU architecture, code named Volta. The flagship chip will be the Tesla V100 with 5,120 CUDA cores and 15 Teraflops of computing power. It is a huge 815mm chip, created with a 12nm manufacturing process for better energy efficiency. Most of its unique architectural improvements are focused on AI and deep learning with specialized execution units for Tensor calculations, which are foundational to those processes.

Tesla V100

Similar to last year’s GP100, the new Volta chip will initially be available in Nvidia’s SXM2 form factor for dedicated GPU servers like their DGX1, which uses the NVLink bus, now running at 300GB/s. The new GPUs will be a direct swap-in replacement for the current Pascal based GP100 chips. There will also be a 150W version of the chip on a PCIe card similar to their existing Tesla lineup, but only requiring a single half-length slot.

Assuming that Nvidia puts similar processing cores into their next generation of graphics cards, we should be looking at a 33% increase in maximum performance at the top end. The intermediate stages are more difficult to predict, since that depends on how they choose to tier their cards. But the increased efficiency should allow more significant increases in performance for laptops, within existing thermal limitations.

Nvidia is continuing its pursuit of GPU-enabled autonomous cars with its DrivePX2 and Xavier systems for vehicles. The newest version will have a 512 Core Volta GPU and a dedicated deep learning accelerator chip that they are going to open source for other devices. They are targeting larger vehicles now, specifically in the trucking industry this year, with an AI-enabled semi-truck in their booth.

They also had a tractor showing off Blue River’s AI-enabled spraying rig, targeting individual plants for fertilizer or herbicide. It seems like farm equipment would be an optimal place to implement autonomous driving, allowing perfectly straight rows and smooth grades, all in a flat controlled environment with few pedestrians or other dynamic obstructions to be concerned about (think Interstellar). But I didn’t see any reference to them looking in that direction, even with a giant tractor in their AI booth.

On the software and application front, software company SAP showed an interesting implementation of deep learning that analyzes broadcast footage and other content looking to identify logos and branding, in order to provide quantifiable measurements of the effectiveness of various forms of brand advertising. I expect we will continue to see more machine learning implementations of video analysis, for things like automated captioning and descriptive video tracks, as AI becomes more mature.

Nvidia also released an “AI-enabled” version of I-Ray to use image prediction to increase the speed of interactive ray tracing renders. I am hopeful that similar technology could be used to effectively increase the resolution of video footage as well. Basically, a computer sees a low-res image of a car and says, “I know what that car should look like,” and fills in the rest of the visual data. The possibilities are pretty incredible, especially in regard to VFX.

Iray AI

On the VR front, Nvidia announced a new SDK that allows live GPU-accelerated image stitching for stereoscopic VR processing and streaming. It scales from HD to 5K output, splitting the workload across one to four GPUs. The stereoscopic version is doing much more than basic stitching, processing for depth information and using that to filter the output to remove visual anomalies and improve the perception of depth. The output was much cleaner than any other live solution I have seen.

I also got to try my first VR experience recorded with a Light Field camera. This not only gives the user a 360 stereo look around capability, but also the ability to move their head around to shift their perspective within a limited range (based on the size the recording array). The project they were using to demo the technology didn’t highlight the amazing results until the very end of the piece, but when it did that was the most impressive VR implementation I have had the opportunity to experience yet.
———-
Mike McCarthy is an online editor/workflow consultant with 10 years of experience on feature films and commercials. He has been working on new solutions for tapeless workflows, DSLR filmmaking and multi-screen and surround video experiences. Check out his site.