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.
- Security infrastructure Engineer - Firewall | IDS | NAC | Cloud. Exclusive project, £75,000+
- United Kingdom
Security infrastructure Engineer - Firewall | IDS | NAC | Cloud. Exclusive project DCL Search exclusive Identifier Project. To join a financial services business. Key hire to be part of / influence the cyber security capability and direction within the business. Hands on experience managing / monitoring / upgrading / implementing / using the following; · Firewalls: SonicWall and or Palo Alto · NAC: Cisco OR Macmon · WAF | CASB | MDM Experience with SIEM monitoring / vulnerability analysis also highly desirable. MUST have current hands on experience with vulnerability management tooling and best practice. Current Financial services is a nice to have. Learn new skills working within a collaborative team. Grow as a security professional.
- Outside IR 35 CONTRACT SC CLEARED Cyber Security Operations Analyst SPLUNK ES- UK REMOTE- £500 a day.
6 month contract Outside IR35 Operational Cyber Security Analyst. Hands on Splunk Security Enterprise and Security clearance is required As is someone that holds SC clearance. SOC and Vulnerability management experience. Vulnerability Analysis / Management - Tenable
- SOC Manager Security Operations. SIEM, Threat / Vulnerability, IR, SOC Service- Exclusive
- United Kingdom
SOC Manager- SIEM, Threat / Vulnerability, Incident response. Exclusive Project. Management and on growth growth of Security Operations Centre capability. Managing and maturing the team, technical services line and fronting client engagements where needed. An in-depth technical background is essential, experience across SOC SIEM/ Threat Hunting (IR) tools, processes, techniques, operational is a MUST. The role will include, but not limited to; evolving the technical process, building operational capability, managing and hiring team, involved at a high level overviewing policy/playbooks, fine turning of the go-to-market collateral etc.
- Contact 12 month- Security Operations- Tanium Engineer / Analyst.
- United Kingdom
- Dependent on experience
Security Operations engineer / Analyst with Tanium for a 12 month contract. Experience configuring using, managing, supporting troubleshooting Tanium's suite of end point solutions is essential. The opportunity is due to a client expanding its international capability to a follow the sun model. To be involved in spinning up a European capability. Based in the UK. English essential and ideally being fluent in French.