Compact and lightweight form factor meets powerful edge AI performance in Getac's versatile new offering, built on ARM architecture
News in brief:
- Getac is expanding its ZX80 range of fully rugged 8-inch devices with the launch of the ZX80W.
- The AI-ready device is powered by Windows 11 and built on energy-efficient ARM architecture for extended, uninterrupted operation in the field.
- The ZX80W combines the security and compatibility of the Windows ecosystem with the lightweight mobility and long battery life traditionally associated with Android devices.
IRVINE, Calif., June 3, 2026 /PRNewswire/ -- Getac Technology Corporation (Getac), a leading provider of rugged computing and mobile video solutions and a manufacturer with advanced in-house capabilities, today announced the expansion of its ZX80 range of 8-inch fully rugged tablets with the launch of the new ZX80W – a lightweight, highly mobile Windows 11 device built on ARM architecture.
With this launch, Getac is meeting growing customer demand for power-efficient, fanless rugged solutions running the Windows 11 operating system (OS) that can be used across a wide range of industrial environments and scenarios, such as those found in the defense, utilities, and transportation and logistics sectors.
Built on energy-efficient ARM architecture
The ZX80W utilizes Qualcomm®'s innovative QCS6490 platform, built on ARM architecture and renowned for exceptional energy efficiency and high performance per watt. The result is a fast, fanless computing experience that enables users to work uninterrupted for long periods of time, even in remote locations where access to device charging facilities may be limited. The device also features 12GB of built-in LPDDR5 memory for smooth multitasking, while 256GB of universal flash storage (UFS) provides ample on-device storage capacity.
Windows 11 functionality in a compact form factor
The ZX80W highlights the transformative power of Windows on ARM in the rugged industry. Traditionally, delivering full Windows functionality in the field required larger, power-hungry processors. By leveraging ARM's exceptional thermal and energy efficiency, the ZX80W effortlessly runs Windows 11 IoT Enterprise LTSC in a remarkably compact, fanless framework. The difference for customers is profound, as it provides the robust security and app compatibility of a true Windows ecosystem but with the extreme lightweight agility and all-day battery life previously reserved for Android devices.
AI-driven edge intelligence
The ZX80W features a 6th Generation Qualcomm AI Engine to unlock real-time intelligence at the edge. The Qualcomm® Hexagon NPU delivers high-speed recognition with real-time analytics and on-device automation designed to maximize productivity in demanding field environments, reducing cloud dependency for faster, more reliable processing when an internet connection is limited or unavailable.
This powerful edge functionality makes the ZX80W ideally suited for a range of use cases including UAV flight control in the utilities environments, predictive asset management, and electronic logging devices (ELDs) in transportation and logistics.
Fully rugged, outdoor-ready
Like all Getac devices, the ZX80W is built rugged from the ground up to thrive in environments where many other devices would fail. The device is MIL-STD-810H and IP67 certified, vibration, and 6ft (1.8m) drop resistant. It also features a sunlight-readable display and a wide operating temperature range of -20°F to 145°F (-29°C to 63°C). Despite all this, the ZX80W weighs just 1.3lbs (590g), making it incredibly lightweight for extended use in the field.
"Effective digital transformation requires extending the enterprise core directly into the field," says Charlie Gibbs, Director of Product Solutions, Getac North America. "The ZX80W is engineered to support this vision. By delivering a compact 8-inch form factor with the proven efficiency of Windows on ARM, we are helping organizations bridge the gap between traditional IT infrastructure and frontline operations. From standard fieldwork to hazardous environments, we are equipping our customers with a versatile tool that maximizes mobility while upholding strict enterprise security and performance standards."
ZX80W will be available in July 2026. For more information, please visit www.getac.com
About Getac
Getac Technology Corporation is a global leader in AI-capable rugged mobile technology and intelligent video solutions, including laptops, tablets, software, body-worn cameras, in-car video systems, digital evidence management and enterprise video analytics solutions. Getac's solutions and services are designed to enable extraordinary experiences for frontline workers in challenging environments. Today, Getac serves customers in over 100 countries spanning defense, public safety, ambulance, fire & rescue, utilities, automotive, natural resources, manufacturing, transport, and logistics. Getac was recently recognized as one of Newsweek's "World's Most Trustworthy Companies" for 2024. For more information, visit: https://www.getac.com. Participate in the Getac Industry blog or follow the company on LinkedIn and YouTube.
Getac and Getac logo are trademarks of Getac Holdings Corporation or its affiliates. Other brands or trademarks are the property of their respective owners. ©2026 Getac Technology Corporation.
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Getac's new 8-inch ZX80W tablet blends Windows 11 functionality with energy-efficient fanless design for all-day productivity in the field
The most significant software release in the company's history extends what's possible for agentic AI and other accelerated compute workloads. NeuralMesh 6 redefines inference economics with native multi-tenancy, a unified file-and-object protocol stack built on NVMe, intelligent data mobility with replication and remote caching support, always-on data reduction with performance guarantees, Kubernetes-native operations, and unified observability.
CAMPBELL, Calif., July 22, 2026 /PRNewswire/ -- WEKA, the AI data and memory infrastructure company, today announced WEKA NeuralMesh 6, the most significant software release in the company's history, delivering a purpose-built platform designed to help customers run production AI training, inference, and accelerated compute workloads at production scale on a single unified software stack. The release offers a robust set of capabilities that the AI infrastructure market has historically forced operators to assemble from separate vendors: native multi-tenancy at hyperscale, a full S3 protocol stack on NVMe, intelligent metadata-first data mobility that delivers async replication and remote caching, always-on data reduction with contractual guarantees, Kubernetes-native operations, and unified observability across every deployment.
Inference Costs Now Decide Which AI Companies Scale
The release arrives as the AI industry increasingly shifts decisively from training to production inference. Long-context reasoning, agentic workflows, and retrieval-driven AI workloads place sustained pressure on memory, metadata, and storage in ways traditional infrastructure architectures were not designed to handle. NeuralMesh 6 was built to deliver breakthrough inference economics at production scale for AI clouds, frontier model providers, government agencies, and large enterprises at the forefront of AI innovation.
Inference Economics Proven in Production on Oracle Cloud Infrastructure
NeuralMesh powers hyperscale AI inference in production today on Oracle Cloud Infrastructure (OCI). Leveraging WEKA's Augmented Memory Grid capability, which extends GPU memory by accelerating persistent KV cache access to NeuralMesh-managed NVMe storage, benchmarks on OCI H100 infrastructure have demonstrated 10x higher token throughput, 10x more concurrent users served, and 7x more tokens per GPU in production deployments.
"As agentic AI workloads push context windows and GPU utilization to new limits, WEKA and Oracle Cloud Infrastructure are helping customers scale inference more efficiently without simply adding more GPUs," Pablo Selem, senior director, software development, Oracle Cloud Infrastructure. "WEKA's NeuralMesh platform with Augmented Memory Grid on OCI helps remove memory bottlenecks, delivering substantially more throughput and concurrent users from the same GPU footprint. For customers, that means higher ROI on infrastructure investments and a clearer path to cost-efficient AI at scale."
Inside NeuralMesh 6
NeuralMesh 6 builds on this production foundation. Key features and capabilities include:
Native Multi-Tenancy at Hyperscale
NeuralMesh 6 delivers the industry's only multi-tenancy architecture that combines physical hardware isolation with logical network isolation on a single platform.
- Composable Clusters provide complete hardware-level isolation, dedicated CPU, memory, and storage drives per tenant for anchor tenants that require guaranteed resources, workload separation, and predictable performance under load.
- Virtual Multi-Tenancy provides VPC-like network isolation through WEKA's Virtualized RDMA Data Fabric (VRDF), supporting private VLANs, overlapping IP address spaces, per-tenant quality of service (QoS), per-tenant encryption with independent KMS, and independent LDAP/AD authentication. Virtual MT scales to more than 1,000 isolated logical tenants per cluster, with new tenant provisioning in under 30 minutes.
The two tiers compose. A single WEKA hardware cluster running 50 Composable Clusters can support up to 50,000 logically isolated tenants on the same physical infrastructure — a path from dozens of tenants to tens of thousands without re-architecting.
Full S3 Protocol Stack on NVMe
NeuralMesh 6 delivers a fully-featured, native S3 implementation in which the same physical data blocks are addressable via S3 and POSIX simultaneously — not a gateway that translates between protocols, but a single unified namespace. A file written via NFS or POSIX is immediately readable via S3, and vice versa, eliminating the multiple full-dataset copies that a conventional AI pipeline carries between the training, fine-tuning, and inference stages. The implementation is built for AI workload patterns: 2,000 to 5,000 concurrent S3 connections per node, roughly five times the concurrency of conventional S3 architectures. S3 over RDMA enables zero-copy data transfer directly to GPU memory. Object storage is no longer a secondary tier — it is a high-performance protocol native to the same platform that serves POSIX file workloads.
Intelligent Replication for AI Workloads
GPU infrastructure is increasingly distributed across sites, clouds, and regions. Traditional replication architectures force organizations to wait for complete data copies before workloads can begin — a model that breaks down when GPU availability shifts in hours rather than weeks. NeuralMesh 6's intelligent replication changes the model. The same foundation supports AI data mobility, cloudbursting, and multi-site collaboration. Metadata-first replication makes destination environments immediately browsable. Data hydrates on demand, only when accessed, reducing WAN traffic and eliminating unnecessary full-dataset copies. Organizations can place workloads where GPU capacity exists today rather than where data was originally written. In this first step towards complete federation and a global namespace, NeuralMesh 6 unlocks async replication and instantaneous remote caching functionality.
Always-On Data Reduction with Performance Guarantees
NeuralMesh 6 introduces always-on data reduction, specifically designed for AI workloads, with fingerprinting, similarity hashing, deduplication, and compression. It delivers less than 5% write overhead, up to 6x capacity savings on AI training data, and a contractual guarantee of both the data reduction ratio and the performance impact. The performance tax that has historically forced operators to choose between efficiency and speed is gone: data reduction is on by default, every deployment, every workload. Customer-specific pre-sales analysis can project workload-based reduction outcomes before deployment.
AlloyFlash Automated TLC + QLC Flash Tiering
AlloyFlash enables combining TLC and QLC NVMe flash within a single cluster, transparently routing latency-sensitive operations to TLC while leveraging QLC at roughly 30-40% lower cost per terabyte for bulk-capacity workloads. AlloyFlash makes the highest-density WEKApod configurations production-viable, not just capacity-on-paper.
Automatic, transparent, no customer configuration required.
NeuralMesh Kubernetes Operator
NeuralMesh Kubernetes Operator automates cluster deployment and lifecycle management in Kubernetes environments. For neo-clouds and AI research labs running Kubernetes as their operational standard, Kubernetes Operator reduces deployment time from weeks to hours and brings NeuralMesh into the same declarative operational model their compute infrastructure already uses.
NeuralMesh Observe
NeuralMesh Observe is SaaS-based observability built for high-performance AI storage. Unified multi-cluster dashboards, client-level diagnostics, intelligent alerting with configurable thresholds, and routing to Slack, PagerDuty, or email with direct links to relevant dashboards. Included with every NeuralMesh deployment at no additional cost.
"WhiteFiber is building a distributed GPU platform across multiple data centers connected by high-speed dark fiber. At our scale, data mobility isn't a nice-to-have; it's foundational," said Sam Tabar, CEO at WhiteFiber. "NeuralMesh's intelligent replication makes data mobility real at scale: we can make datasets visible across sites and pull exactly the data each job needs to the next GPU allocation as it becomes available. That shifts replication from a back-end protection function to a core part of how our distributed AI infrastructure needs to operate, improving workload mobility, capacity efficiency, and the resiliency our customers depend on. WEKA's data and memory infrastructure provides the foundation to scale our footprint without compromise. We're excited to keep building on that together."
"The infrastructure operators running production AI today have been forced to assemble platforms from vendors that were never designed to work together. Separate stacks for file and object, manual data movement between them, multi-tenancy bolted on after the fact. NeuralMesh 6 delivers what they've actually needed all along: a single platform that handles the high-performance file layer and the high-capacity object layer on the same blocks, with native multi-tenancy, intelligent data mobility, and always-on data efficiency built in from the start. This is what production inference infrastructure looks like when it's designed for the workload, not retrofitted for it," said Ajay Singh, Chief Product Officer at WEKA.
Availability
NeuralMesh 6 will be generally available in the second half of 2026. Existing WEKA customers can upgrade to NeuralMesh 6 at no additional cost through standard upgrade channels and should contact their Customer Success representative for more details.
For more information about WEKA's NeuralMesh 6 software release and features, visit: https://www.weka.io/product/neuralmesh/.
NeuralMesh x WEKApod: Built to Run In Perfect Symmetry Together
WEKA also announced the third generation of WEKApod Nitro, WEKApod Prime, and WEKApod Prime Max, the first AI storage appliances built on WEKA-designed and engineered hardware to optimize its NeuralMesh software platform. The systems deliver 1.1 exabytes of effective capacity per rack with multiple patents pending. See today's WEKApod announcement to learn more: https://www.weka.io/news/wekapod-3-densest-ai-storage-memory-system.
About WEKA
WEKA is the AI data and memory infrastructure company transforming the economics of agentic AI. Its NeuralMesh™ platform unifies high-performance data storage with extended GPU memory, giving enterprises, AI cloud providers, and AI builders a single foundation for training, inference, and agentic workloads. With Augmented Memory Grid, NeuralMesh extends GPU memory capacity by 1000x, accelerates time to first token by up to 20x, and delivers 10x more concurrent users from the same GPU footprint, proven in production benchmarks. Trusted by 30% of the Fortune 50, WEKA enables organizations to scale AI faster, optimize GPU utilization, and reduce the cost of every token served. Learn more at www.weka.io or connect with us on LinkedIn and X.
** This press release is distributed by PR Newswire through automated distribution system, for which the client assumes full responsibility. **
WEKA Debuts NeuralMesh 6 to Power Enterprise and Agentic AI Workloads at Production Scale
WEKA Debuts NeuralMesh 6 to Power Enterprise and Agentic AI Workloads at Production Scale
