Purpose-built silicon, systems and software. One deployment architecture that scales from test to production through a proven global ecosystem.
Purpose-built silicon the open market deploys to encode video at scale economically.
The control plane to convert VPU silicon into a manageable platform.
Four form factors. One silicon architecture. Built for encoding streams.
Choose for edge or space-constrained deployments.
Choose for standard scale-out data center deployments.
Choose when power, thermals or tuning matter most.
Choose this dual-chip VPU when density and cost per stream are the priority.
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| T1M | T1U | T1A | T2A | ||
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| Choose your architecture |
OEM VPU module designed for embedded systems and space constrained edge deployments. | Standard VPU for scalable data center deployments and general purpose video infrastructure. | AIC form factor VPU tuned for precision performance and thermal-managed environments. | Dual-chip VPU delivers maximum density and lowest cost-per-stream at scale. | |
| ASIC VPU chip | 1x | 1x | 1x | 2x | |
| Form factor | M.2 | U.2 | AIC | AIC | |
| Watts per chip | 8-10W | 17W | 20W | 40W card (2 chips) | |
| Encode streams |
1080p30 | 20x | 32x | 32x | 64x |
| 4Kp30 | 5x | 8x | 8x | 16x | |
| Decode streams |
1080p30 | 25x | 48x | 48x | 96x |
| 4Kp30 | 6x | 12x | 12x | 24x | |
| Codecs | Encode | H.264, HEVC, AV1, JPEG. 8-bit and 10-bit. | |||
| Decode | H.264, HEVC, VP9, JPEG | ||||
| AI compute | none | 18 TOPS | 36 TOPS | ||
| Server compatibility | Quadra Mini Server | All Quadra Servers | 1RU Quadra Video Server | ||
| T1M Specs > | T1U Specs > | T1A Specs > | T2A Specs > | ||
Two server configurations. Choose by density or deployment setting.
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| Quadra Video Server | Quadra Mini Server | ||
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| Choose your architecture |
High-density production workloads and data center deployments. | Ideal for edge, regional, lab or smaller production environments. | |
| Processor | AMD EPYC x86 | Intel i7 13th Gen x86 | |
| VPU capacity | T1U, 10x | T1M, single embedded | |
| Form factor | 1 RU | 1 RU, half rack | |
| Power draw | ~500W | ~138W | |
| Encode | 1080p30 | 320x streams | 20x streams |
| Encode | 4Kp30 | 80x streams | 3x streams |
| Decode | 1080p30 | 480x streams | 25x streams |
| Software integration | Bitstreams™ preloaded, requires license activation. FFmpeg, GStreamer and libxcoder. | ||
| AI compute | 150 TOPS | none | |
| Quadra Video Server Specs > | Quadra Mini Server Specs > | ||
The one variable that changes is the compute layer. Everything upstream and downstream remains as is.
The VPU slots into the encode layout. Ingest, orchestration and delivery paths are unchanged.
The buying decision and the technical decision. Both need answers before a deployment begins.
A: Quadra VPUs are purpose-built to handle video encoding and decoding at sustained scale. They replace CPU- or GPU-based video workloads where throughput, power efficiency, and operational predictability are limiting factors.
A: No. Quadra VPUs replace CPU or GPU resources only for video processing tasks. General compute, orchestration, AI training, and graphics workloads remain unchanged.
A: No. Quadra VPUs are fixed-function video processors. They are designed exclusively for encoding, decoding, and video-adjacent processing—not general compute or model training.
A: No. VPU adoption is a compute substitution decision, not a platform commitment. It affects how video workloads are processed—not how applications, data, or cloud strategy are structured.
A: No. VPUs integrate into standard video frameworks and existing infrastructure. Pipelines, orchestration, and monitoring remain owned by your team, and rollback paths remain intact.
A: Deployment is incremental and reversible. If benchmarks or production behavior do not meet expectations, traffic can be shifted back to existing CPU or GPU paths without disruption.
The Deployment Playbook is how the converging companies got here. Built for streams.
