at the Storage Layer SMB SMB File Metadata File Metadata S3 NFS Difficult for Users to Access Data. Complex for Admins to Manage File Metadata File Metadata S3 Blob SMB Point Solutions Storage-Centric IT Layering Applications Data Management (By Copy) File System (Embedded) Storage System (Single Vendor)
System From the Infrastructure SMB SMB NFS SMB Hammerspace Approach Storage-Centric IT Layering Applications Applications Hammerspace Assimilates File Metadata Without Moving Files File Metadata File Metadata File Metadata File Metadata Hammerspace Parallel Global File System S3 Blob S3 File Metadata File Metadata File Metadata File Metadata NFS SMB NFS SMB Data Remains in Place on Existing Storage Global File Access Across Storage Types & Locations. Automated Non-disruptive Data Orchestration File System (Global) Data Orchestration (By Objective) Data Orchestration (By Objective) File System (Global) Data Management (By Copy) Storage System (Multiple Vendors) Storage System (Single Vendor) File System (Embedded)
local storage or in the cloud. - Hybrid cloud storage has not really been delivered: o The hyperscalers have next to zero on-premises deployments due to channel conflicts with traditional storage resellers and the general lack of storage talent within the hyperscalers to build an on-premises solution. o The hybrid cloud solutions that do exist are vendor specific and lock users into their ecosystem. o What’s needed is a vendor agnostic solution that supports cloud-to-cloud, cloud to on-premises, and on-premises to on-premises globally. Observations
very good to get something up and running quickly with no on- premises OPX (great for startups). o Phase II – an Enterprise goes all-in with the cloud and once at scale starts to see OPX exceed on-premises expenses. Performance and scale benefits start to decline. o Phase III – unless you are a very large enterprise customer (Netflix, Apple, etc.) who gets special pricing, customer need to move to a hybrid solution with global scale. Most customers’ cloud journey has phases
do a lot of manual data movement. Especially if they have a global presence and/or sharing data geographically. o AI LLMs and ML are inhibited and have added complexity because model data is not under one globally accessible data platform. o A global data environment is needed that puts data under one easily accessible namespace.
cloud. o Data orchestration, one name space and policy driven physical data movement detached from logical data presence. o The performance of a parallel file system delivered with the simplicity and features of an Enterprise NAS. o One name space that dramatically reduces the complexity of AI LLMs and ML while providing unparalleled performance at scale. Why Hammerspace? Hammerspace is the only vendor that has solved all these challenges:
• 1000+ storage nodes and 100Tb/s throughput in a single • "8 figures per year in software licensing revenue” • 650% growth in capacity under management YoY • 300% YoY Pipeline Growth • Put fuel on the fire! Nearly 2x larger sales and marketing team starting 2024
Pipelines Data from Multiple Sources Parallel Global File System Metadata-Driven AI Workflow Objective-based Data Placement Automated Data Orchestration
the Data Pipeline Software or Appliance acts as Gateway w cache Objects written to tape via S3 Data is stored on a tape library from any tape library vendor 1 2
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