• AI Inferencing
  Unifies unstructured data, prewarms datasets, and feeds GPUs at wire speed for low latency inference.
• AI Training
  Combines Tier 0 and parallel file system to keep GPUs saturated, accelerating training throughput, efficiency.
• Cloud Computing
  Unifies data across sites and clouds, enforcing policies and minimizing egress while accelerating cloud workloads.
• Data Analytics
  Creates one global namespace and orchestrates datasets to compute, speeding queries, pipelines, and interactive analytics.
• Machine Learning
  Unifies training and inference data, automates placement, and maximizes GPU utilization for faster model iteration.
• GPU Acceleration
  Feeds GPUs from Tier 0 shared NVMe, eliminating bottlenecks and boosting token throughput and TTFT.
• High-performance Computing (HPC)
  Delivers parallel file performance across sites, keeping compute saturated while simplifying data movement and access.
• Retrieval Technologies (RAG)
  Unifies files and objects, prestages embeddings and corpora, accelerating retrieval augmented generation while ensuring governance.

Global Partner Support Team, Global_Partner_Support@wwt.com 

• Gregg Machon, VP Global Channel Sales, Gregg.machon@hammerspace.com 512-230-4373
• Nick Christy, Director of Channel- West, nick.christy@hammerspace.com 928-607-7428
• Taylor Hancock, Director of Channel – East, taylor.hancock@hammerspace.com 727-432-7989
• Liam Sanders, Channel Partner Associate – Americas, liam.sanders@hammerspace.com 206-669-7105
• David Sweet, Field CTO – Americas, david.sweet@hammerspace.com 770-845-3563
• Betsy Doughty, VP of Partner Marketiing, betsy.doughty@hammerspace.com 720-988-5101

Hammerspace Pitch Deck

Partnership Level/Name - Authorized

Partnership Established Date - 2025

Partner Fiscal Year dates - Calendar Fiscal Year

Direct purchasing or through Distribution? - Direct Purchasing

EMEA/APAC - purchasing agreements – Direct or through distribution? Process, who are the distributors? -  EMEA = Titan Data Solutions

Approx. Number of Customers as of previous Calendar year - 71

Approximate Number of Certifications (name/type of cert, and how many) - 4

• Typical Margins we should expect for a Registered deal - 20-25 points
• GM% Historical Average - 20-25 points
• How to Register a deal - See "Hammerspace Partner Deal Registration System User Guide" attachment
• How to access Partner Portal - https://my.vartopia.com/VartopiaV2/Login

Hammerspace creates a unified data plane to:

1. Break Down Silos with Data Assimilation + Global Namespace
   We don't copy your data—we virtualize it. We assimilate metadata from NAS, object, and cloud into a single POSIX/S3 namespace. No migration. No replatforming.
   Benefit: Instant AI access across sites and clouds; no migration backlog.
2. Put Data Where Compute Is with Intelligent Orchestration
   Policy-driven placement by GPU queue, cost, and hotness; pre-warm datasets; move data or compute as needed—non-disruptively.
   Benefit: Shorter experiment cycles, fewer copies, lower egress.
3. Feed GPUs at Full Speed with Tier 0 + Parallel File System
   Tier 0 turns local NVMe in GPU servers into ultra-fast shared storage; the parallel file system scales linearly for training, inference, and simulation.
   Benefit: Higher token throughput, faster TTFT, and no idle GPUs.
4. Stay Open: Native Linux + NFSv4.2/pNFS, SMB, S3
   No proprietary clients, agents, or APIs. Works with your existing toolchain.
   Benefit: Plug-and-play with Kubernetes, Slurm, Ray, PyTorch, Triton, Airflow—no lock-in.

• NVIDIA
• Cisco
• Supermicro
• Lenovo
• Hitachi Vantara
• Microsoft Azure
• Oracle Cloud (OCI)

https://hammerspace.com/partners/technology-partners/ 

• SiliconANGLE Media's 2025 Tech Innovation CUBEd Awards as the "Top Data Storage Innovation." 
• TechTarget Storage Product of the Year 2024
• NAB Show Product of the Year 2025
• Data Breakthrough Award 2025 – Data Storage Innovation of the Year 
• CRM 2025 Storage 100
• Silicon Angle Tech Forward Award 2025 – AI Optimized Data Platfor Winner

Healthcare & Life Sciences:

Hammerspace unifies file and object data across multiple storage systems from any vendor — on-premises and in the cloud — into a single, high-performance global namespace. Hammerspace automates the movement of massive datasets from cryo-EM scopes, sequencers, and other instruments directly to HPC clusters and AI platforms for analysis - without manual data copying.

Combine GPU server-local storage, NVMe scratch tiers, project data and archived data in a unified global namespace to simplify operations and accelerate research workflows. Whether powering next-generation sequencing pipelines, AI-based drug design, or large-scale simulation workloads, Hammerspace delivers the throughput, scalability, and data agility that modern life sciences research demand

Public Sector:

Government decision making is reliant upon the underlying data, making it one of the biggest producers and consumers of data.

Agencies are quickly outgrowing legacy data storage architectures as data continues to grow and the available services and infrastructure now span from edge, to core, to cloud. These legacy systems are fragmented and make access to critical information challenging.

The Hammerspace Global Data Environment enables Agencies to implement a data strategy and architecture for decentralized data which is essential for agencies to better leverage data assets and strategically execute data management improvements. With the ability to leverage their massive data sets, governments can provide better insight, make more timely and relevant decisions, craft better policies, and offer better services.

Hammerspace helps governments securely put data to use across locations while simplifying IT Operations by automating data protection and data management to meet policies set by administrators.

Financial Services:

Hammerspace software is designed from the ground up to bridge incompatible storage silos from any vendor across diverse data sources at the edge, in data centers and the cloud. It is software designed to provide customers with global access and control without the need to rip and replace existing storage platforms.

Whether for managing data services across multiple tiers and locations, or to create a cross-platform data fabric for analytics and/or other AI inference pipelines, Hammerspace enables customers to leverage existing infrastructure while getting the advantages normally associated with migrating all data into a centralized repository.

At the core is its high-performance Parallel Global File System that can span on-premises and cloud instances to provide a cross-platform global namespace to all users everywhere.

With Hammerspace, all users in all locations see the same file system metadata, even for environments spanning multiple on-prem and cloud-based storage and compute environments. And with metadata-driven objective-based policies, data management is automated behind the scenes across silos and locations without interrupting users or applications.

Hammerspace is designed to help financial services organizations overcome the problems of silo sprawl, without the need to retool their data centers with one-size-fits all storage. Because the Hammerspace file system is global, and data orchestration can be automated seamlessly across all silos and locations, analytics & AI pipelines as well as conventional data workloads can now be optimized and rapidly adapt to new use cases as they occur. Get the most out of your environment and your data with Hammerspace.

Electronic Design Automation: 

Hammerspace is a software solution that provides high-performance, low latency data ingest and automated data orchestration to decentralized users, applications, and cloud services to make a globally available EDA pipeline a reality.

Hammerspace's high-performance global file system combined with the flexibility of cloud compute and storage resources provide the ability to rapidly provision and scale EDA pipelines on demand, for high-performance application workloads. Hammerspace nodes can push data up to the maximum throughput of the instance and network infrastructure and the Hammerspace cluster itself can dynamically scale out to concurrently handle any volume of workloads.

High Performance Computing:

Hammerspace software is designed from the ground up to scale up and out to accommodate even extreme workload requirements, enabling customers to parallelize performance across any vendor storage, network, or cloud resource they prefer.

At the core is its high-performance Parallel Global File System that can span on-premises and cloud instances to provide a cross-platform global namespace to all users everywhere. It is built with a scale-out architecture that can saturate any network, storage type or interconnect.

With Hammerspace, all users in all locations see the same file system metadata, even for environments spanning multiple on-prem and cloud-based storage and compute environments. And with metadata-driven objective-based policies, data management is automated behind the scenes across silos and locations without interrupting users or applications. Most importantly, it can now keep up with your high-performance workloads.

Hammerspace is designed to help research organizations and other HPC environments create, process, and manage even extreme volumes of HPC data, and to enable collaboration across a decentralized environment.

Game Development:

Hammerspace is a software solution that provides a global data environment across the Hybrid Cloud to give users, applications, and cloud services local access to data, no matter where it is stored.

Hammerspace solves the problems associated with software builds, visual effects, and render pipelines that may be distributed across not only multiple storage silos in a single datacenter, but also across multiple data centers and different Cloud regions. All users in all locations globally access the same files with low latency, local access to shared data resources.

Because the Hammerspace Global Data Environment is a hybrid cloud solution that spans both datacenter and Cloud storage resources in a single global filesystem, gaming production workflows can burst into Cloud compute and storage resources on demand. This enables them both the flexibility and the efficiency of being able to rapidly provision additional resources to parallelize and accelerate workflows.

Partnering with Hammerspace presents a compelling opportunity for WWT to expand its service portfolio by bundling professional services with Hammerspace's innovative data orchestration solutions. Hammerspace's Global Data Environment enables seamless data access and management across hybrid cloud and on-premises infrastructures, addressing critical challenges in AI, HPC, and enterprise data workflows. By attaching services such as workshops and assessments to Hammerspace sales, WWT can guide customers through initial discovery phases, identifying pain points in data silos, performance bottlenecks, and scalability needs. This not only accelerates the sales cycle but also positions WWT as a trusted advisor, fostering deeper client relationships and increasing deal sizes through value-added expertise that ensures optimal implementation and ROI from the outset.

Furthermore, WWT can leverage deployments and custom app development services to deliver end-to-end solutions tailored to each customer's unique environment, maximizing the benefits of Hammerspace's technology. Deployments involve hands-on configuration, integration with existing systems, and performance tuning, while app development can create bespoke applications that enhance data workflows, automation, and analytics capabilities. This service attachment strategy not only generates recurring revenue streams for WWT through managed services and ongoing support but also differentiates Hammerspace offerings in competitive bids, leading to higher win rates and customer satisfaction. Ultimately, this collaboration empowers WWT to drive transformative outcomes for customers, positioning both companies as leaders in the evolving data management landscape.

• What challenges do you encounter when trying to access or share large datasets across distributed teams or cloud environments?
• How are you currently managing the performance demands of AI or HPC workloads? Are there gaps in scalability, data orchestration or data mobility that you'd like to address?
• What would an ideal solution look like for simplifying data management across multiple locations and storage types while maintaining high performance?
• Are you considering how AI might help activate your unstructured data to derive new value?
• Does fragmentation of your data across vendor silos, locations, and cloud add complexity and cost to your operations, and reduce productivity?
• Has the unknown costs and ROI of an AI initiative made you hesitate to consider launching such a project?
• How are you currently managing data across multiple (often aging) storage systems or locations, and what challenges do you face in ensuring seamless access for distributed teams?
• What do you see as the largest hurdles to going "all-in" with a vendor's "AI Factory"?
• How do you manage storage scalability as your data grows, particularly for unstructured data workloads like media, AI, or IoT applications? Are you targeting on-prem or cloud-based solutions?