Venx-287-rm-javhd.today01-30-11 Min May 2026

Venx‑287‑RM‑JavHD is a real‑time, high‑definition video processing platform designed for:

| Aspect | Description | |--------|-------------| | Core Function | Ultra‑low‑latency encoding/decoding of 4K‑60 fps (HEVC/H.265) streams with optional AI‑enhanced up‑scaling. | | Target Markets | Live‑event broadcasting, remote‑learning classrooms, tele‑medicine imaging, and VR/AR content pipelines. | | Form Factor | 2‑U rack‑mount appliance (or optional edge‑box module) with hot‑swap power supplies and redundant network interfaces. | | Key Differentiator | Integrated “RM” (Resource‑Managed) scheduler that dynamically reallocates GPU, CPU, and memory slices across up to 12 concurrent pipelines while staying under a ≤ 11 ms end‑to‑end latency budget (the “01‑30‑11 Min” performance envelope). |

Note: “Today 01‑30‑11 Min” is the internal codename for the January‑30th, 2024 software/firmware baseline that guarantees the ≤ 11 ms latency target across all supported configurations. venx-287-rm-javhd.today01-30-11 Min

| Scenario | Configuration Highlights | Benefits | |----------|--------------------------|----------| | Live Sports Broadcast | 4K 60 fps HDMI/SDI ingest, AI‑up‑scale for legacy feeds, dual‑stream redundant output (HEVC + RTMP). | Sub‑10 ms delay, automatic fail‑over, minimal bandwidth penalty. | | Remote Surgery Tele‑medicine | 1080p 120 fps NDI input, low‑latency denoise, encrypted SRT output. | ≤ 7 ms round‑trip, ensures visual fidelity under variable network conditions. | | VR/AR Content Production | 8K 30 fps capture, on‑the‑fly AV1 encoding, GPU‑accelerated stitching. | Future‑proof codec, reduces storage costs while preserving visual quality. | | Edge Computing for Smart Cities | 4× 1080p 30 fps RTSP cameras, AI‑up‑scale for facial‑recognition pipelines. | Centralized processing reduces bandwidth to cloud, meets privacy regulations. |

| Item | Value | |------|-------| | Model | Venx‑287‑RM‑JavHD | | Release | Today 01‑30‑11 Min (v1.3.0‑2024‑01‑30) | | Latency Goal | ≤ 11 ms (critical path) | | Max Streams | 12 × 4K 60 fps (full‑codec) | | CPU | Intel Xeon‑Silver 4215R (8 cores, 2.4 GHz) | | GPU | NVIDIA RTX A6000 (16 GB) | | FPGA | Xilinx UltraScale+ (2 × Gen4) | | Network | 2 × 10 GbE RJ‑45, 1 × 25 GbE SFP28 | | Power | 150 W (typical) | | Operating Temp | 0 °C – 45 °C | | Key License | RM‑Scheduler, AI‑Up‑scale (optional) | | Support | 24/7 (standard), Premium on‑site (optional) | | Documentation URL | https://docs.venxtech.com/287rmjavhd |

| Q | A | |---|---| | Can Venx‑287‑RM‑JavHD handle mixed codecs in the same pipeline? | Yes. The RM scheduler can branch a single input into separate encoder instances (e.g., HEVC for broadcast, AV1 for streaming) without exceeding the latency budget. | | What is the maximum cable length for HDMI 2.1 inputs? | Up to 5 m with active cables; for longer runs use HDMI‑over‑SDI converters. | | Is there a way to disable the AI‑upscale for power‑saving? | The AI engine can be toggled via the API: POST /api/v1/pipelines/id/features "ai_upscale": false . This frees ~30 % of GPU resources. | | Does the appliance support TPM 2.0 for secure boot? | Yes, a hardware TPM is built‑in and enabled by default. | | Can we run the platform in a virtualized environment? | The current hardware design is bare‑metal only; however, a future “Venx‑Cloud‑RM” SaaS offering is planned for Q4 2025. | Note: “Today 01‑30‑11 Min” is the internal codename