GPU-Accelerated Storage Node · Direct GPU DMA

gStor

GPU-Accelerated Storage for On-Prem AI, Transcoding & 8K Finishing

Apace gStor supercharges media pipelines directly at the storage compute layer. By pairing high-throughput storage architectures with dedicated GPU Direct compute, gStor offloads automated proxy transcoding, speech-to-text transcription, and semantic vector indexing—bypassing host CPU bottlenecks with 100% on-premises air-gapped security and $0 cloud token taxes.

check_circleEdit-in-Place Architecture•security100% Air-Gapped Isolation•payments$0 Cloud Token Taxes
Node Status: Operational
High-Bandwidth Fabric · Direct DMA
gStor Parallel GPU Direct Storage Physical Appliance Chassis Render
Proxy Render
10:1 Speed
Bus Width
Gen5 x16 DMA
Cloud Egress
$0 Token Tax
Direct Storage Engine: Dedicated GPU acceleration handles automated chaptering, faces, speech-to-text, and visual indexing with strict on-premises data isolation.
memory
DMA Compute Architecture
Zero CPU Cache Contention
speed
Bus Throughput
128 Gbps per Gen5 Slot
bolt
Parallel Proxy Engine
10:1 Real-Time Transcode
shield
Air-Gapped Privacy
$0 Token Taxes · Zero Cloud AI
GPU Pipeline Architecture

How Direct GPU DMA Powers Real-Time AI Indexing

Inspect how gStor bypasses host CPU memory bottlenecks and feeds raw camera frames directly into onboard GPU compute for DataManager AI.

STAGE 03 · gStor GPU Engine

Dedicated Onboard GPU Acceleration Engine

Powers DataManager AI indexing, speech transcription, and 10:1 proxy encoding.

gStor functions as the dedicated hardware compute engine for DataManager AI. Onboard GPUs execute 10:1 proxy encoding, continuous dialogue transcription, and visual embeddings 100% on-premises with $0 cloud token taxes.

Architecture Engineering Specifications
check_circle10:1 real-time proxy generation (overnight encodes finished in 45 min)
check_circleMultimodal AI speech-to-text and vision vectors run completely in-place
check_circle100% on-premises air-gapped isolation with zero outbound telemetry
Standard Protocol Support: SMB, NFS, Direct GPU DMA, S3 API
Architectural Differentiation

Why Facilities Choose gStor

gStor functions as the dedicated GPU compute engine for DataManager AI. See how integrating high-throughput storage directly with onboard GPU acceleration eliminates host CPU bottlenecks and replaces variable cloud AI token taxes with 100% on-premises speed.

Architecture DimensionTraditional CPU NASCloud AI Services
Apace gStor Node
GPU Engine for DataManager AI
DataManager AI & Compute PathLacks GPU compute; host CPU memory bounce buffers choke on parallel indexing, transcription & proxy transcodingHigh-latency cloud uploads; throttled transfer queues delay active timeline discovery
check_circleDedicated onboard GPU compute runs DataManager AI natively via Direct DMA—delivering 10:1 proxies & real-time search
Data Sovereignty & PrivacyLocal storage, but lacks onboard GPU compute to transcribe or vectorize media without external cloud APIsProprietary camera raw footage and client IP leave facility firewalls to multi-tenant cloud nodes
check_circle100% on-premises air-gapped isolation with zero outbound telemetry and strict studio data privacy
Operating Economics & TCORequires deploying separate expensive external compute render farms alongside storage infrastructureUnpredictable variable cloud egress tolls and recurring per-token / per-minute AI API surcharges
check_circleFixed predictable hardware investment with $0 cloud egress and zero per-token indexing taxes
memory
Hardware Muscle × Software IntelligenceMission-Critical GPU Layer

Why DataManager AI Requires gStor Dedicated GPU Acceleration

AI indexing software without high-bandwidth GPU hardware chokes on CPU limits. gStor provides the raw parallel compute and direct DMA memory pathways that enable DataManager AI to perform 10:1 proxy encoding, continuous speech transcription, and multi-dimensional vision indexing in real time—with zero cloud token charges and 100% on-premises privacy.

GPU Acceleration & Sizing Engine

Calculate Ingest Acceleration & Cloud Cost Savings

Model how gStor’s on-premises GPU compute accelerates proxy generation and eliminates recurring cloud AI token taxes for your daily footage volume.

12 TB / day
2 TB (Boutique)20 TB (Studio)50 TB (Broadcast)
videocam10:1 Real-Time Proxy Transcoding
Built-in
GPU Compute: Optimized
Daily Ingest & Proxy Turnaround
4.8 hrs
vs 57.6 hrs on traditional CPU NAS (52.8 hrs saved daily)
Est. Monthly Cloud Savings
+$7,223/mo
$0 AWS/Azure egress tolls
Data Sovereignty
100% Local
Air-gapped, zero telemetry
Recommended Node Form Factor
gStor 3U Hardware Front
Mid-Tier Studio Balanced (3U)
16 x 3.5” enterprise hot-swap bays

Direct PCIe Gen5 DMA to GPU virtual memory with dual 1+1 redundant Platinum power supplies.

Decision Alignment

Built for Every Stakeholder in Your Pipeline

Select your role to review how gStor accelerates pipeline turnaround, enforces air-gapped security, and eliminates cloud token fees.

Turnaround Velocity & Capacity

Studio Heads & VPs of Post

Core Objective: Eliminate proxy turnaround bottlenecks so editing bays begin cutting raw footage within minutes.
Primary Strategic Consideration
“Will integrating GPU storage require rebuilding our current post-production pipeline?”
gStor eliminates this friction by mounting non-destructively over existing media storage and executing 100% on-premises GPU compute inside your local firewall.
check_circleZero pipeline rebuilding: mounts directly over existing SAN/NAS storage volumes in place.
check_circleAccelerates automated proxy creation at up to 10:1 real-time speed.
check_circleDelivers lightweight editing proxies instantly to Adobe Premiere and Blackmagic DaVinci Resolve suites.
Enterprise Production Validation
Commercial Post & VFX Finishing Facility Deployment
“We offload 15+ terabytes of raw 8K camera files every day. With traditional CPU servers, proxy generation took all night and slowed morning editorial sessions. gStor turned overnight encodes into a 45-minute background task. It runs completely air-gapped with zero cloud token invoices.”
Director of Post Production & Systems Architecture
Commercial Finishing & Episodic VFX Studio
Adobe Premiere VerifiedBlackmagic DaVinci Resolve VerifiedARRIRAW · REDCODE · ProRes
Proxy Speed
10:1
Real-Time Render
Cloud Egress
$0 Egress
Zero Token Surcharges
Bus Architecture
PCIe Gen5
Direct GPU DMA
Data Privacy
100% Local
Air-Gapped Isolation
Facility Due Diligence

Technical Architecture & FAQ

Detailed engineering answers to the architectural questions CTOs, Lead Systems Architects, and Post Directors ask when evaluating on-prem GPU storage.

No. gStor mounts non-destructively over your active SAN/NAS infrastructure in-place. It functions as an on-premises GPU acceleration engine and high-throughput flash tier, indexing source footage and writing lightweight proxies directly to your existing volumes without requiring drive reformatting or disruptive data migration.

Have a specific GPU clustering, RoCE network fabric, or petabyte archive specification?

Consult with a GPU Storage Architectarrow_forward
Storage Topology Assessment · Zero Data Migration

Deploy gStor Over Your Existing Storage Infrastructure

Our storage architects evaluate your current pipeline throughput, client NLE bandwidth requirements, and GPU clustering parameters. Accelerate ingest and proxy indexing with zero data migration required.

verifiedDirect GPU DMA Throughput Assessment
•
verifiedAutomated Proxy & Ingest Speed Audit
•
verifiedCloud AI Token Tax vs. Fixed Capex Model

30-minute technical session with a systems architect • Direct network topology assessment • Zero sales pressure