Introducing NVIDIA Tesla P4 GPUs for Accelerating Virtual Workstations and ML Inference on Compute Engine
Today, we are excited to announce a new addition to the Google Cloud Platform (GCP) GPU family that’s optimized for graphics-intensive applications and machine learning inference: the NVIDIA Tesla P4 GPU.
We’ve come a long way since we introduced our first-generation compute accelerator, the K80 GPU, adding along the way P100 and V100 GPUs that are optimized for machine learning and HPC workloads. The new P4 accelerators, now in beta, provide a good balance of price/performance for remote display applications and real-time machine learning inference.
Graphics-intensive applications that run in the cloud benefit greatly from workstation-class GPUs. We now support virtual workstations with NVIDIA GRID on the P4 and P100, allowing you to turn any instance with one or more GPUs into a high-end workstation optimized for graphics-accelerated use cases. Now, artists, architects and engineers can create breathtaking 3D scenes for their next blockbuster film, or design a computer-aided photorealistic composition. P4s offer 8GB of GDDR5 memory— enough power for highly demanding interactive and immersive 3D applications.
One early customer, Schlumberger, has been impressed with the flexibility that Google Cloud virtual workstations offer oil and gas customers.
“Compute Engine Virtual Workstations powered by NVIDIA GPUs allow us to address our cloud-based users' largest visualization challenges. Oil and Gas subject-matter experts can now use the Petrotechnical Suite in the DELFI cognitive E&P environment from Schlumberger on various devices with an expanding global reach. With Google Cloud’s network and increasing GPU capacity to deliver low-latency, virtual workstation experiences, our customers are able to leverage the power of cloud computing to make more informed decisions from oil and gas exploration to production.” - Raj Kannan, Advisor Solution Architect, Schlumberger
Using GPUs for cloud-based 3D applications is a must. To help make the best possible virtual workstations, we’ve also partnered with Teradici, which offers a client that runs on Compute Engine and that is available through GCP Marketplace.
"The combination of Teradici Cloud Access Software, Google Cloud Platform and NVIDIA P4 and P100 instances helps deliver high-performance virtual workstation experiences. Now customers in industries such as media and entertainment, oil & gas and manufacturing, can empower their end users to run compute-intensive tools from nearly any device, virtually anywhere in the world." - Dan Cordingley, CEO, Teradici
NVIDIA Tesla P4 GPUs are also a great fit for ML inference use cases such as visual search, interactive speech and video recommendations. These accelerators offer up to 22 TOPs of INT8 performance and can slash latency by 40X compared to traditional CPUs. Finally, P4s are a good fit for video transcoding workloads. The P4’s one Decode and two Encode engines can transcode up to 35 HD video streams in real-time
Like with our other GPU offerings, you can attach one or multiple P4s to any machine type, and pay only for the resources that you need. We support all our GPUs, including the P4, on Kubernetes Engine and Cloud Machine Learning Engine, zync render, and they can take advantage of sustained use discounts and preemptible pricing. P4s are available today in select zones in us-central1 (Iowa), us-east4 (N. Virginia), Montreal (northamerica-northeast1) and europe-west4 (Netherlands), with more regions (including LA), coming soon. The below table summarizes our full set of GPU offerings.
- SailPoint File Access Manager Consultant/ Architect
- discussed on applications
SailPoint File Access Manager (SailPoint FAM) Consultant/ Architect is required for an up coming projects, Ideally looking for someone with experience in Designing and deploying SailPoint FAM , this is a new Deployment, you will work with customer in the initial workshop phase, to understand requirements and to get the initial design, you will then be responsible for deploying the solution. This is a home based role, with some onsite visits required during the length of the project. We are looking for someone who has previous experience in Deploying SailPoint FAM (ideally done design work) Need to have experience with SharePoint and ideally Azure and Share file
- Outside IR35 Contract- SC / DV - Cloud / VMware Solution Architect
- Outside IR35
Solution Architect Contract - with active Security Clearance needed for Outside IR35 Contract London. SC / DV (must be willing to undergo DV) 6 month rolling Immediate Experience delivering technical Security Architecture design / assurance of security design. Specific experience with Cloud and VMWARE technologies Cross domain experience desirable HLD / LLD Current SC Clearance a must. London 3 days a week Immediately interviewing.
- Contract Night Shift Senior SOC Analyst | Microsoft Defender | Outside IR35
- United Kingdom
- Outside IR35
Contract Night Shift Senior SOC Analyst | Microsoft Defender / Sentinel | Outside IR35 Looking for an experienced SOC analyst to cover a night shift SOC operation. Level 2 technical Analyst. You must have current hands on technical experience with Microsoft defender / Sentinel within a customer facing SOC environment. This is a UK based position.
- DV Cleared CyberArk Consultant- Contract
- City of London
- Upto £700 per day
CyberArk Consultant is needed to be responsible for leading the deployment of CyberArk solutions for this Secure government site You will work with customer, helping to create CyberArk Strategic Roadmaps, on-boarding accounts, product and process integration into the CyberArk Solution and Proviso of Installation and technical Documentation. We are looking for this individual to have experience in: In CyberArk deployment, and ideally leady the deployment both strategically and also technically for this project we need the consultant to hold current DV cleared status For the right individual this could be a long term project.