Penguin Solutions today announced a strategic collaboration with Deepgram and Dell Technologies to architect and deploy a fully optimized, production-ready infrastructure aligned to Deepgram’s demanding enterprise voice AI requirements. By leveraging its unique expertise in designing, building, deploying, and managing AI infrastructure with Dell PowerEdge servers and Dell PowerScale storage optimized for AI workloads, Penguin Solutions delivered an optimal solution to support and enhance Deepgram’s innovative Speech-to-Text (STT), Text-to-Speech (TTS), and Voice Agent capabilities, while ensuring maximum reliability and performance.
As enterprise adoption of generative AI accelerates, organizations must adhere to stricter service level agreements (SLAs), which require infrastructure that can ensure low latency and high concurrent usage. This Penguin-led deployment addresses these challenges by combining Deepgram’s innovative voice AI models with a purpose-built architectural design, a highly efficient deployment, and ongoing performance optimization.
Drawing on its extensive experience with HPC and AI infrastructure, Penguin Solutions ensures that the underlying infrastructure meets the specific demands of Deepgram’s neural networks. The architecture also incorporates Dell PowerScale storage and Dell PowerEdge XE7745 servers with NVIDIA RTX PRO 6000 Blackwell Server Edition GPUs, which provide efficient inferencing that enables data-intensive voice applications to operate seamlessly in real-time environments.
The Deepgram-Penguin Solutions-Dell collaboration comprises a comprehensive approach for enterprises looking to modernize their customer and employee experiences. With Deepgram’s API-driven voice capabilities, Penguin Solutions’ AI services, and Dell’s powerful AI infrastructure, organizations can achieve highly accurate, real-time transcription and speech synthesis—all while maintaining strict data governance and control.
For those attending NVIDIA GTC AI Conference and Expo March 16-19, 2026, in San Jose, CA, learn more about this innovative collaboration at Dell’s Booth #721 on March 17 at 3:30 p.m. for the session “Powering Enterprise Voice AI: Deepgram’s Agentic Solution” presented by Penguin, Deepgram and Dell. Attendees can also stop by Penguin Solutions’ booth #1031 to speak with an AI factory platform expert.
Posted in Commentary with tags Fortra on March 17, 2026 by itnerd
Browser extensions have quietly become one of the more dangerous and overlooked attack surfaces within the enterprise. Fortra Intelligence and Research Experts (FIRE) have released a new Browser Extension Threat Guide that breaks down why this risk is escalating and what security teams need to do now to close the gap.
This in‑depth guide covers:
A deep forensic analysis of the GhostPoster campaign, including staged payloads, obfuscation techniques, and real-world impact.
How modern extension malware evades EDR by hiding inside legitimate browser processes and abusing trusted APIs.
Actionable detection and threat hunting playbooks focused on manifest analysis, sideloading identification, and high‑risk behaviors.
Clear mitigation strategies, including extension governance, default‑deny controls, and browser-layer security recommendations.
Cybersecurity researcher Jeremiah Fowler recently discovered 3 separate databases that were neither password-protected nor encrypted and contained a total of 3.7 million chat log transcripts, audio recordings, and text transcriptions of phone calls exposing Sears Home Services.
The publicly exposed databases totaled over 4TB and contained:
2,116,011 txt files that exposed names, phone numbers, physical addresses, and user-submitted personally identifiable information (PII).
207,381 xlsx files and audio recordings totaling 415.2GB.
1,442,577 audio recordings of customers and their text transcripts totaling 3.9TB.
Hammerspace announced today the general availability of its new AI Data Platform (AIDP) solution. AIDP is a turnkey approach that removes one of the biggest barriers preventing enterprise AI pilot projects from reaching production: seamless access to distributed enterprise datasets. It does this without creating new copies, performing slow migrations, or relying on manual preparation and curation, dramatically simplifying and securing the process of curating AI-ready data.
The Hammerspace AIDP meets enterprises where they are by allowing them to start making their existing data AI-ready using the infrastructure they already own, without deploying a separate AI storage system. By uniquely leveraging data in place, Hammerspace eliminates the need to purchase massive amounts of new flash just to house AI data.
Solving the Primary Blockers to Enterprise AI Success
Eliminate Data Fragmentation. Identifying, gathering, organizing, and transforming unstructured data into an AI-ready format remains labor-intensive and highly manual. In most enterprises, the same work–finding the right data, enriching metadata, and shaping it into a form AI agents and models can use–is repeated across teams, projects and platforms because the data estate is fragmented. Hammerspace eliminates data fragmentation by providing a unified view across heterogeneous systems and automating the entire pipeline that produces AI-ready data for applications.
Skip Costly Mass Migrations. By enabling customers to use data in place, Hammerspace eliminates tedious migrations and the heavy manual work behind copy-first pipelines that consume human capital and stall initiatives. Instead of requiring a new AI storage buildout just to get started, the platform accelerates time to value and time to answer by making distributed data immediately usable for enterprise AI.
Reduce Data Copies. Hammerspace defeats data gravity by continuously cataloging distributed data in place, then using its Model Context Protocol (MCP) server to coordinate with NVIDIA and other AI tools and applications so only the data that’s needed moves, when it’s needed. With policy- and security-driven automation managing placement and flow end to end, vectors and source data stay continuously synchronized with consistent governance, compliance and performance. This allows pilot programs to scale cleanly into production with operational simplicity.
Image 1: The Hammerspace AI Data Platform: Seamless Access to Distributed Enterprise Datasets
Delivered and Validated by SHI, the Premier Experts in AI Transformation
SHI has been a key partner in the development and testing of the Hammerspace AI Data Platform solution, using its AI and Cyber Lab to quickly showcase the value and integrations across technologies for enterprise-scale AI factories.
Full End-to-End Solution on Cisco UCS with Secuvy DSPM
Hammerspace also delivers solutions that meet enterprise demands across the spectrum by combining best-of-breed technologies from its ecosystem partners. To provide organizations with a complete, validated and secure AI infrastructure, Hammerspace has established key partnerships and achieved major integration milestones.
All-in-One Orchestration: Hammerspace collapses as many as 15 disconnected tools for data discovery, cataloging, classification, policies and movement into a single orchestration layer, providing unified data insight, management and access. The platform is also the first to deliver a fully agentic data foundation, intelligently managing data placement and flow based on real-time demand.
NVIDIA Partnership: The Hammerspace AIDP is built on NVIDIA’s reference design, ensuring optimal performance and compatibility with accelerated computing platforms, including NVIDIA RTX PRO 6000 and RTX PRO 4500 Blackwell Server Edition GPUs. Using NVIDIA AI Enterprise software, including NIM microservices and NeMo Retriever, Hammerspace converges data management with data orchestration across heterogeneous storage to simplify and automate the data pipeline and deliver the security, governance and content indexing required for high-performance inference, retrieval-augmented generation (RAG) and agentic AI.
Secuvy DSPM Integration: The Hammerspace AIDP is integrated with Secuvy’s Data Security Posture Management (DSPM) technology, providing customers with an end-to-end solution that prepares and delivers AI-ready data while ensuring continuous security monitoring, compliance, and governance throughout the entire data pipeline.
Hardware Platform Flexibility: Hammerspace’s software-defined architecture provides the ultimate flexibility for the modern enterprise. Our AIDP can be delivered on a broad ecosystem of industry-leading hardware from partners including Cisco, Lenovo, and Supermicro. It seamlessly integrates with any server environment that meets performance specifications, ensuring organizations can leverage their preferred infrastructure without compromise.
Availability and More Information
Hammerspace will feature its AI Data Platform in Booth #7040 at NVIDIA’s GTC 2026, March 16-19, in San Jose, California.
The solution is immediately available. Customers can contact their Hammerspace sales representative or authorized partners to operationalize their data for AI success.
Black Kite today announced the release of Open FAIR™-Based Risk Assessments, which extends its CRQ capabilities to its AI-powered cyber assessment offering. Black Kite fully automates the calculation of probable financial impact in the event of a data breach, ransomware attack, or business disruption scenario using the industry-leading Open FAIR™ methodology, eliminating the complexity and manual effort typically associated with CRQ analysis. This latest release brings CRQ directly into the cyber risk assessment workflow, enabling customers to instantly calculate financial risk during onboarding and periodic risk reviews.
As the industry’s first provider to automate Cyber Risk Quantification (CRQ) for third party risk management, Black Kite has long delivered real-time CRQ through its continuous monitoring offering. These insights help them prioritize remediation efforts and vendor outreach, and clearly communicate risk and program success to executive and business stakeholders.
By introducing Open FAIR™-based risk quantification into the assessment workflow, customers can model onboarding decisions through “what-if” analysis. For example, they can simulate how sharing more or fewer records with a vendor impacts financial risk so that they can set clear vendor approval conditions. Additionally, customers are able to view real-time CRQ alongside assessment-based CRQ captured at onboarding and during periodic risk reviews to track how vendor risk is trending over time.
Customer key benefits include:
Turn risk decisions into business decisions: Instantly quantify a company’s financial risk during onboarding and annual assessments to inform vendor selection, renewal decisions, and even insurance underwriting.
Clearer vendor comparisons: Use a consistent financial risk language (e.g., “Are we willing to accept $10M vs. $2M of cyber risk in a ransomware scenario?”) to objectively compare vendors and select the best option.
Understand risk trends over time: Track how a vendor’s financial risk changes by comparing point-in-time CRQ from assessments with real-time CRQ from continuous monitoring to get a high-level understanding of vendor maturity, remediation progress, and the impact of outreach campaigns over time.
Model scenarios with full customization: Adjust model inputs to test different decision conditions, like onboarding a vendor only if data access is limited, and see how each scenario changes probable financial impact.
Open FAIR™-Based Risk Assessments key features include:
Automated FAIR model population: Never start with a blank model with Open FAIR™ factors that are automatically populated and enhanced by assessment responses, uploaded documentation, and insights from continuous monitoring.
Assessment-based private modeling: Run private, assessment-specific analysis to estimate probable financial risk impact at key moments, such as onboarding, renewal, post major outreach campaign, and more.
Full customization: Customize exposure metrics and FAIR inputs across key scenarios or entirely custom scenarios to test different assumptions.
Posted in Commentary with tags DH2i on March 17, 2026 by itnerd
DH2i today announced the general availability (GA) launch of DxEnterprise v26.0 and DxOperator v2, featuring significant high availability (HA), disaster recovery (DR), and operational resilience capabilities enhancements for SQL Server deployments across Windows, Linux, and Kubernetes environments. Together, the releases introduce meaningful advances in availability group (AG) protection, security controls, observability, and automation for both traditional and containerized SQL Server deployments.
In today’s enterprises, a perfect storm has emerged where applications have become direct revenue channels, infrastructure complexity has increased while IT staffing has not, modernization initiatives are no longer optional, security and compliance requirements are tightening, and software update velocity has accelerated. Together, these forces expose the limits of traditional HA approaches. What once worked for small, static clusters no longer scales when SQL Server deployments span hybrid, multi-platform, and containerized environments that demand continuous availability, stronger safeguards, and higher levels of automation. DxEnterprise v26.0 and DxOperator v2 address these challenges head-on.
DxEnterprise v26.0 focuses on improving cluster resilience, visibility, and administrative confidence through enhanced monitoring, stronger safeguards against split-brain scenarios, expanded credential support, and platform modernization. DxOperator v2 extends those capabilities into Kubernetes environments, giving users greater control over scale, updates, and network configuration for SQL Server AGs running in containers.
What’s New in DxEnterprise v26.0
Deeper SQL Server and Availability Group Intelligence
Database-level health monitoring is now enabled by default, allowing faster detection of issues affecting individual databases within an AG
Split-brain scenarios are prevented via automatic per-availability-group quorum enforcement by demoting or shutting down replicas when quorum requirements are not met
Improved replica connectivity alerts provide real-time notification when replicas disconnect or when SQL Server replica configurations diverge from expected cluster state
Improved Security and Credential Resilience
Support for secondary SQL Server backup credentials enables automatic fallback if primary authentication fails, reducing downtime caused by credential changes or expirations
Administrative sessions are automatically disconnected when the cluster passkey changes, ensuring only authorized users with current credentials retain access
The DxAdmin user interface now includes clearer prompts, stronger validation, and improved feedback for passkey configuration
Greater Stability and Observability
Core monitoring services, including DxLMonitor, DxCMonitor, DxStorMonitor, and DxHealthMonitor, have received reliability and stability improvements to reduce unexpected restarts and improve overall cluster resilience
Basic anonymous telemetry is now available to help improve product quality and diagnostics, with opt-out configuration for customers who prefer not to participate
Platform and Usability Enhancements
DxEnterprise’s Linux version now runs on the .NET 8.0 runtime, delivering improved performance, security, and long-term support alignment
Virtual hosts can now be renamed using a new rename-vhost command, simplifying cluster management and reorganization
Additional safeguards prevent accidental overwriting of existing data stores during SQL Server high availability virtualization
Enhancements to DxCLI and DxPS improve command-line usability, including human-readable XML output and new PowerShell cmdlets
The DxCollect utility now includes expanded command-line options for more targeted diagnostics and log collection.
What’s New in DxOperator v2
Flexible Scaling Up and Down
Availability group clusters can now be expanded or reduced dynamically
Unlike the previous version, DxOperator v2 can safely de-configure and remove replicas from a running cluster, enabling true scale-down operations
Automated Rolling Updates
Administrators can automate rolling updates of SQL Server or DxEnterprise container images, allowing pods to be updated one at a time without manual intervention
Updates can also be performed manually when desired, giving operators full control over rollout strategy
DxOperator does not automatically check for new container versions, ensuring that administrators remain in control of when and how updates are applied
Advanced Network and Service Configuration
Flexible service templates allow load balancers and other network services to be fully specified and automatically deployed per availability group replica
This enables more consistent connectivity across different Kubernetes environments and cloud providers
Redesigned Custom Resource and StatefulSet Adoption
The custom resource definition has been redesigned for greater flexibility and now leverages Kubernetes StatefulSets
By delegating pod creation, storage allocation, and rolling upgrades to Kubernetes, DxOperator v2 simplifies internal logic while benefiting from native Kubernetes reliability and lifecycle management
DH2i’s DxEnterprise v26.0 and DxOperator v2 are now generally available
By Jurgita Lapienytė, Editor-in-Chief at Cybernews
A new BBC report revealed what we suspected all along – big tech platforms turn a blind eye to harmful content for the sake of profit. Platforms allow so-called borderline content – misogynistic, sexist, racist, conspiracy-driven – that is harmful yet legal.
According to the report, based on accounts from a dozen whistleblowers and insiders, Meta engineers were instructed to allow more borderline content to compete with TikTok. Meanwhile, TikTok is said to have prioritized several user complaints involving politicians to “avoid threats of regulation or bans.”
Unsurprisingly, big tech platforms denied any wrongdoing, insisting that they do not amplify harmful content.
Algorithms are allegedly designed to better understand user interests and needs, and cater to them accordingly. Unfortunately, most of what a user “wants” turns out to be conspiracy theories, AI slop, deepfakes, and pro-Nazi content. Or at least the algorithm seems to think so – because most of this is so-called ragebait content, designed to provoke a strong response from the user.
And since users engage with it, the algorithm is tricked into “thinking” this is what people want. Humans behind the algorithm must clearly understand this is not the case, but clicks translate to cash. So why would Big Tech cut the branch it’s sitting on?
In 2024, Meta earned $16 billion, or 10% of its annual revenue, from scam ads and banned goods. The information comes not from a third-party analytics firm but from Meta’s own documents, proving that the tech giant is well aware of how much harm it can spread – and how much money it can make along the way.
While platforms and lawmakers take their sweet time debating what borderline content is, people are left to deal with the psychological fallout of social media addiction. From the inability to tell right from wrong or fake from real, loss of concentration, sleep, and even sense of self, to radicalization, depression, and self harm – the consequences of companies toying with their algorithms to meet business goals are dire for humanity.
It’s not only our mental health that’s at stake. Adversaries, well aware of algorithmic logic, abuse it to spread misinformation and straightforward lies, sowing division to influence elections all over the world – making us wonder just how much harm performative compliance has already done to democracy.
ABOUT THE AUTHOR
Jurgita Lapienytė is the Editor-in-Chief at Cybernews, where she leads a team of journalists and security experts dedicated to uncovering cyber threats through research, testing, and data-driven reporting. With a career spanning over 15 years, she has reported on major global events, including the 2008 financial crisis and the 2015 Paris terror attacks, and has driven transparency through investigative journalism. A passionate advocate for cybersecurity awareness and women in tech, Jurgita has interviewed leading cybersecurity figures and amplifies underrepresented voices in the industry. Recognized as the Cybersecurity Journalist of the Year and featured in Top Cyber News Magazine’s 40 Under 40 in Cybersecurity, she is a thought leader shaping the conversation around cybersecurity. Jurgita has been quoted internationally.
ABOUT CYBERNEWS
Cybernews is a globally recognized independent media outlet where journalists and security experts debunk cyber by research, testing, and data. Founded in 2019 in response to rising concerns about online security, the site covers breaking news, conducts original investigations, and offers unique perspectives on the evolving digital security landscape. Through white-hat investigative techniques, Cybernews research team identifies and safely discloses cybersecurity threats and vulnerabilities, while the editorial team provides cybersecurity-related news, analysis, and opinions by industry insiders with complete independence. For more, visit www.cybernews.com.
Posted in Products with tags Sharp on March 16, 2026 by itnerd
Last week I got the chance to review not one, but two laptops from Sharp’s laptop division Dynabook. The first of these two laptops is the Tecra A40-M laptop. The specific variant that I have comes with these specs:
Intel Core Ultra 7 Processor 255U
Windows 11 Pro
14″ diagonal widescreen that is also a touchscreen
16 GB DDR5 5600
512 GB PCIe NVMe SSD
Fingerprint Reader
Thunderbolt 4
60Wh battery to give you up to 8 hours of battery life
Wi-Fi 6E and Bluetooth 5.2
Intel ARC Graphics
Weighs 3.18 pounds
These seem like decent specs on paper. And they are as I will highlight in a moment. But what got my attention is the build quality. This laptop felt really solid because of the fact that it is built to MIL STD 810-H. Every part of the laptop that I touched felt like it could take a beating if required. I point that out because a lot of PC laptops that I pick up do not come even close to feeling that way. In fact some laptops from some big name companies feel flimsy at times. Thus I am often concerned about how long they would last during a trip or the like. I would have none of those concerns if I was carrying this laptop.
Speaking of the laptop, you haven’t seen it yet. Here’s a few pictures:
The one thing that stands out to me is this 14″ screen. It’s sharp and clear. The other thing that stands out is the keyboard. I liked the typing feel and touch typists will really love it. I was not as enamoured with the track pad. But that’s like a “me” problem as I am used to Mac trackpads which are not diving board designs like this one. Thus the clicks on those feel consistent unlike this one. Die hard Windows users however will not care because they are used to this sort of feel.
On the left side of the laptop is the Kensington lock slot, a power connector (why isn’t it USB-C/Thunderbolt 4 to make life easier for users who want to go USB-C all the things including chargers), a HDMI port, two USB-C/Thunderbolt 4 ports and a headphone jack.
On the right is an Ethernet jack, USB-A port and an micro SD card slot.
What I was really interested in is how fast is this laptop. To find out I ran Geekbench 6 on it. Now synthetic benchmarks aren’t a definitive measure of how fast a computer is because how fast a computer is or isn’t is dependent on your use case. Having said that, it will give you a pretty good idea of what you can expect. I did two runs of the GPU and CPU tests. Once on power and once on battery as PC laptops perform worse when on battery to save battery. Here’s what I got. First here’s the results while on battery:
Single Core: 1750
Multi Core: 6928
GPU (OpenCL): 16747
And here’s the results while on AC Power:
Single Core: 2277
Multi Core: 8656
GPU (OpenCL): 18893
To put that in perspective, my M1 Pro MacBook Pro hit these numbers (both on battery and on AC power) for the CPU:
Single Core: 1762
Multi Core: 12431
That makes the Dynabook’s numbers more than respectable. In terms of disk speed, I ran Crystal Disk Mark both on battery and on AC power. Here’s the results that I got in both scenarios:
Read: 5280.89 MB/s
Write: 3072.29 MB/s
Whatever SSD that was chosen to be used in this Dnynabook, it’s a pretty quick one.
Finally there’s battery life. It’s rated for 8 hours. In testing the best that I did was 6.5 hours. Not bad for a PC laptop. Also give its size, it’s not surprising as you can only shove in so much batter for something thin and light.
Here’s the bottom line. The Dynabook A40-M is a well built reasonably fast laptop that is light and easy to tote around. It will survive your daily activities and come back for more while providing ample amounts of CPU and GPU power. The A40-M starts at around $1800, and in my opinion is well worth the money.
Bleeping Computer is reporting that the notorious hacking group ShinyHunters has pwned TELUS Digital which provides outsourced business services. The data that TELUS Digital likely has a lot of sensitive info in its possession, it would be a big target for threat actors. .
Here’s what TELUS Digital said:
“TELUS Digital is investigating a cybersecurity incident involving unauthorized access to a limited number of our systems. Upon discovery, we took immediate steps to address the unauthorized activity and secure our systems against further intrusion. We are actively managing the situation and continue to monitor it closely,” Telus told BleepingComputer.
“All business operations within TELUS Digital remain fully operational, and there is no evidence of disruption to customer connectivity or services. As part of our response, we have engaged leading cyber forensics experts to support our investigation, and we are working with law enforcement. “
“We have implemented additional security measures to further safeguard our systems and environment. As our investigation progresses, we are notifying any impacted customers, as appropriate. The security of our customers’ information continues to be our highest priority.”
The thing is, today is March 13th. Bleeping Computer found out about this in January. And TELUS Digital didn’t respond to Bleeping Computer at that time. Read into that what you will. What worse is that ShinyHunters apparently demanded $65 million in ransom. TELUS clearly didn’t pay up, which by the way nobody should ever pay threat actors. So here we are talking about it.
Forward Edge-AI today announced the release of The Global PQC Implementation Playbook, a structured twelve-month roadmap designed to guide governments and enterprises through full-scale post-quantum cryptography (PQC) adoption.
The Playbook provides a phased implementation framework spanning governance formation, cryptographic asset inventory, proof-of-concept validation, AI-driven orchestration, workforce certification, production deployment, and continuous readiness auditing. It translates policy mandates into executable operational steps.
The release comes as international regulatory alignment accelerates. The European Union has established formal migration expectations beginning in 2026 under NIS2 and DORA, with enforcement mechanisms and financial penalties for non-compliance. The EU post-quantum roadmap and associated regulatory frameworks are publicly documented and continue to shape global migration timelines. The NIS2, DORA, and EU roadmap can be accessed here.
The Playbook outlines seven sequential phases:
Governance & Strategic Planning: Establishes national or enterprise-level PQC oversight structures aligned with digital trust policies.
Cryptographic Asset Inventory: Uses structured assessment to map RSA, ECC, and legacy dependencies across critical systems.
Proof of Concept (PoC) Demonstration: Deploys Isidore Quantum? or comparable programs devices in controlled environments to validate integration, performance, and uptime.
Cassian or comparable programs Orchestration Enablement: Implements AI-driven fleet management for automated key generation, rekeying, and zeroization.
Workforce Training & Capability Building: Certifies personnel on PQC operations, AI-assisted management, and compliance tracking.
Full Production Deployment: Transitions prioritized infrastructure to quantum-safe cryptographic states.
Continuous Monitoring & Readiness Auditing: Maintains long-term readiness through AI-driven monitoring, quarterly assessments, and compliance reporting.
The Playbook aligns with established governance and risk frameworks, including Quantum Readiness Index (QRI) domains and CSA 2025 standards, enabling organizations to demonstrate measurable quantum resilience at each stage of adoption.
Designed for government agencies, defense ministries, critical infrastructure operators, financial institutions, and multinational enterprises, The Global PQC Implementation Playbook provides a repeatable model for operationalizing quantum-safe migration without disrupting active systems.
Penguin Solutions Selected by Deepgram to Enable Deployment of Optimized AI Inference Infrastructure for Enterprise Voice AI
Posted in Commentary with tags Deepgram on March 17, 2026 by itnerdPenguin Solutions today announced a strategic collaboration with Deepgram and Dell Technologies to architect and deploy a fully optimized, production-ready infrastructure aligned to Deepgram’s demanding enterprise voice AI requirements. By leveraging its unique expertise in designing, building, deploying, and managing AI infrastructure with Dell PowerEdge servers and Dell PowerScale storage optimized for AI workloads, Penguin Solutions delivered an optimal solution to support and enhance Deepgram’s innovative Speech-to-Text (STT), Text-to-Speech (TTS), and Voice Agent capabilities, while ensuring maximum reliability and performance.
As enterprise adoption of generative AI accelerates, organizations must adhere to stricter service level agreements (SLAs), which require infrastructure that can ensure low latency and high concurrent usage. This Penguin-led deployment addresses these challenges by combining Deepgram’s innovative voice AI models with a purpose-built architectural design, a highly efficient deployment, and ongoing performance optimization.
Drawing on its extensive experience with HPC and AI infrastructure, Penguin Solutions ensures that the underlying infrastructure meets the specific demands of Deepgram’s neural networks. The architecture also incorporates Dell PowerScale storage and Dell PowerEdge XE7745 servers with NVIDIA RTX PRO 6000 Blackwell Server Edition GPUs, which provide efficient inferencing that enables data-intensive voice applications to operate seamlessly in real-time environments.
The Deepgram-Penguin Solutions-Dell collaboration comprises a comprehensive approach for enterprises looking to modernize their customer and employee experiences. With Deepgram’s API-driven voice capabilities, Penguin Solutions’ AI services, and Dell’s powerful AI infrastructure, organizations can achieve highly accurate, real-time transcription and speech synthesis—all while maintaining strict data governance and control.
For those attending NVIDIA GTC AI Conference and Expo March 16-19, 2026, in San Jose, CA, learn more about this innovative collaboration at Dell’s Booth #721 on March 17 at 3:30 p.m. for the session “Powering Enterprise Voice AI: Deepgram’s Agentic Solution” presented by Penguin, Deepgram and Dell. Attendees can also stop by Penguin Solutions’ booth #1031 to speak with an AI factory platform expert.
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