For broadcasters, OTT teams, and 24/7 channel operators, Database Mart delivers streaming server hosting and streaming hosting with NVENC GPUs, unmetered bandwidth, and root access for OBS, FFmpeg, and media origins.
Match NVENC headroom, VRAM, and Sessions to OBS or FFmpeg on dedicated streaming server hosting—see recommended tiers in Plan & GPU Picks by Use Case below. View All GPU Plans →
Express GPU Dedicated Server - P1000
Basic GPU Dedicated Server - T1000
Basic GPU Dedicated Server - GTX 1650
Advanced GPU Dedicated Server - RTX 3060 Ti
Professional GPU Dedicated Server - RTX 2060
Advanced GPU Dedicated Server - RTX 2060
Basic GPU Dedicated Server - RTX 5060
Advanced GPU VPS- RTX Pro 4000
If you need a free Windows environment for software testing, application evaluation, or personal use, you can try our Windows Server Evaluation Edition (free for up to 180 days) through our sister company - Cloud Clusters (Click to visit).
Where dedicated streaming hosting starts and stops—before you map workloads to GPU and bandwidth on a live streaming server.
| In scope (boundary) | Outside scope |
|---|---|
| Dedicated or GPU servers you control for ingest, transcode, and origin egress. You install OBS, FFmpeg, Nginx RTMP, Wowza, or Ant Media on Linux or Windows Server for RTMP, HLS, SRT, or WebRTC pipelines on streaming server hosting. | Static website hosting, object storage only, pure CDN contracts with no origin encoder, and primary AI training on GPUs that lack NVENC when video encode is the workload. Light relay-only jobs may fit a streaming VPS instead. |
Classified by how you run the pipeline—each ties a typical bottleneck on a streaming server to the hardware we recommend for live stream hosting.
Rich browser sources and overlays often saturate CUDA and VRAM before NVENC on a live streaming server, so streaming hosting for always-on channels needs at least 6 GB VRAM, dedicated CPU and RAM for compositing, and unmetered uplink for steady RTMP or SRT push.
Each input multiplied by rendition count becomes separate NVENC jobs, and GeForce Session limits can cap you before the chip does on video streaming hosting—plan dual or triple NVENC cards such as RTX 4090 or 5090, or RTX Pro tiers with unlimited Sessions for dense FFmpeg origins.
Many parallel 1080p lanes and 24/7 stability push NVENC, disk, and egress together on streaming server hosting—RTX A4000-class GPUs with Pro drivers, fast NVMe for segment and buffer I/O, and bandwidth headroom suit IPTV-style live stream hosting.
Sub-second encode and a tight network path matter more than RTMP-sized buffers on a streaming server, so choose low-latency NVENC presets, spare CPU for signaling and packaging, and a 1 Gbps or higher port when streaming hosting targets interactive playback.
How OBS vs FFmpeg use your streaming server—and which numbers to compare when you move from a streaming VPS to dedicated streaming server hosting.
OBS path
Compositing then encode
Sources → CUDA/VRAM for scenes → NVENC → RTMP/SRT. Watch SM and VRAM first on rich layouts.
FFmpeg path
Decode → scale → encode
NVDEC ingest → NVENC for each rendition. Count total encode jobs (inputs × renditions), not input streams only.
| Metric to check | OBS on a streaming server | FFmpeg transcode |
|---|---|---|
| NVENC generation & count | Important | Primary |
| NVDEC / VRAM / CUDA | Primary for heavy scenes | NVDEC for many inputs |
| Encode Sessions (driver) | Multi-output | Critical at scale |
| Resolution × frame rate | 1080p60 ≈ 1× baseline load | 4K ≈ 4× NVENC load |
| Server uplink (Gbps) | Independent of GPU model | Independent of GPU model |
| VRAM capacity | Browser sources & plugins | Many decode buffers |
| CUDA / SM headroom | Filters & compositing | GPU filters in pipeline |
| CPU cores & RAM | Chat, APIs, recording | Many FFmpeg worker processes |
| NVMe throughput | DVR, replay, local cache | Segment writes for HLS origin |
What CPU, RAM, NVMe, Network & GPU Do on a Streaming Server
Each resource plays a different role in OBS vs FFmpeg stacks on streaming hosting.
CPU
Runs chat bots, webhooks, packaging (HLS/DASH), and x264/VP9 soft encode when NVENC is saturated—OBS still needs cores for audio and browser-source overhead.
RAM
Holds HLS segment buffers, many parallel FFmpeg workers, and OS page cache for time-shift and VOD on live stream hosting.
NVMe
Sustains DVR, instant replay, and high churn local .ts writes for origin; slow disk stalls FFmpeg segment output before GPU does.
Network
Server uplink caps peak quality and concurrent viewers—independent of GPU model; plan Mbps for each encoded outbound plus CDN handoff.
GPU
NVENC encodes, NVDEC ingests, and CUDA/SM powers OBS compositing; size on NVENC count, generation, VRAM, and GeForce vs Pro Session policy.
Software You Can Install on Streaming Hosting
Common encoders and media servers with full root access on our streaming server platform.
| Software | Role | Protocols |
|---|---|---|
| OBS Studio / Streamlabs | Live production, 24/7 channels | RTMP, SRT |
| FFmpeg | Transcode, ABR ladders, relay | RTMP, HLS, SRT, MPEG-TS |
| Nginx RTMP, Wowza, Ant Media, Red5 | Media server origin | RTMP, HLS, WebRTC |
| vMix / Wirecast | Windows production GUI | RTMP, SRT, HLS |
| Selkies / WebRTC stacks | Browser-based low-latency preview | WebRTC |
OS support
NVENC/NVDEC, Sessions, and VRAM for streaming server hardware—then match plans to your OBS or FFmpeg design.
| GPU model | Architecture | NVENC gen | NVENC # | NVDEC # | Session limit | VRAM |
|---|---|---|---|---|---|---|
| Quadro P600 | Pascal | Gen 6 | 1 | 1 | 8 | 2 GB |
| Quadro P1000 | Pascal | Gen 6 | 1 | 1 | 8 | 4 GB |
| NVIDIA P100 | Pascal | Gen 6 | 3 | 3 | Unlimited | 16 GB HBM2 |
| Tesla V100 | Volta | No NVENC | 0 | 1 | 0 | 16–32 GB |
| T1000 | Turing | Gen 6 | 1 | 1 | 8 | 4–8 GB |
| GTX 1650 | Turing | Gen 5/6 | 1 | 1 | 12 | 4 GB |
| GTX 1660 | Turing | Gen 6 | 1 | 1 | 12 | 6 GB |
| RTX 2060 | Turing | Gen 6 | 1 | 1 | 12 | 6–12 GB |
| RTX 3060 Ti | Ampere | Gen 7 | 1 | 1 | 12 | 8 GB |
| RTX 4060 | Ada | Gen 8 | 1 | 1 | 12 | 8 GB |
| RTX 4090 | Ada | Gen 8 | 2 | 1 | 12 | 24 GB |
| RTX 5060 | Blackwell | Gen 9 | 1 | 1 | 12 | 8 GB |
| RTX 5090 | Blackwell | Gen 9 | 3 | 2 | 12 | 32 GB |
| RTX A4000 | Ampere | Gen 7 | 1 | 1 | Unlimited | 16 GB |
| RTX A5000 | Ampere | Gen 7 | 1 | 1 | Unlimited | 24 GB |
| RTX A6000 | Ampere | Gen 7 | 1 | 2 | Unlimited | 48 GB |
| RTX Pro 6000 | Blackwell | Gen 9 | 4 | 4 | Unlimited | 96 GB |
| A100 / H100 | Ampere / Hopper | No NVENC | 0 | Decode only | N/A for encode | 40–80 GB+ |
1080p60 Encode Lanes (Hardware NVENC)
Throughput estimates for video streaming hosting—pair with GeForce Session limits (~12) vs unlimited on RTX Pro.
| GPU | NVENC # | ≈ 1080p60 lanes | Typical streaming use |
|---|---|---|---|
| P1000 / GTX 1650–2060 | 1 | ≈ 12–13 | 1 OBS 1080p60 channel or one origin + few FFmpeg outs |
| RTX 4060 / 5060 | 1 | ≈ 16–18 | Single AV1 1080p60 or quality HEVC live stream hosting |
| RTX 4090 | 2 | ≈ 32–36 | Multi-rendition ABR on one streaming server |
| RTX 5090 | 3 | ≈ 54 | High-density FFmpeg origin |
| RTX Pro 6000 | 4 | ≈ 72 | Maximum single-GPU transcode throughput |
| RTX A4000 | 1 | ≈ 14 | Many Sessions, unlimited driver cap—MSP streaming server hosting |
NVENC engines
Physical hardware throughput—how many 1080p60 lanes the chip can process when Sessions and uplink allow.
Encode Sessions
Driver policy cap on concurrent encode contexts—GeForce ~12; RTX Pro / RTX A-series unlimited until hardware saturates.
Plan & GPU Picks by Use Case
Eight example tiers for common live streaming server workloads—plan name, GPU parameters, fit, rationale, and limits in one place.
| Plan (example tier) | GPU & key params | Good for | Why it works | Limits |
|---|---|---|---|---|
| Express Dedicated GPU — P1000 | P1000, 4 GB VRAM, 1× NVENC, 8 Sessions | One 720p/1080p OBS or FFmpeg relay | Low-cost entry to video streaming hosting on a dedicated streaming server | Not for heavy browser-source OBS or many ABR outputs |
| Basic Dedicated GPU — GTX 1650 | GTX 1650, 4 GB, Gen 5/6 NVENC, 12 Sessions | Single 24/7 channel, light overlays | Efficient always-on live stream hosting with stable thermals | Single NVENC engine; ~12 parallel encodes max on GeForce |
| Basic Dedicated GPU — GTX 1660 | GTX 1660, 6 GB, 1× NVENC, 12 Sessions | One 1080p60 OBS + modest scenes | Extra VRAM for slides, lower thirds, and plugins | Not for dozens of FFmpeg transcode jobs |
| Express Dedicated GPU — RTX 2060 | RTX 2060, up to 12 GB, 1× NVENC | Dual-platform push or 1080p HEVC | Stronger Turing NVENC for streaming hosting quality | Still one physical encoder; Session cap applies |
| Professional GPU — RTX 3060 Ti | RTX 3060 Ti, 8 GB, Gen 7 NVENC | 1080p60 + NVENC B-frames / better HEVC | Ampere decode improvements for ingest-heavy stacks | GeForce Session limit for multi-tenant SaaS |
| Basic Dedicated GPU — RTX 4060 | RTX 4060, 8 GB, Gen 8 NVENC, AV1 encode | Single high-quality stream with AV1 | Lower bitrate for the same quality on a live streaming server | One NVENC; not for large FFmpeg farms |
| Enterprise GPU — RTX 4090 | RTX 4090, 24 GB, 2× NVENC, AV1 | Multi-rendition FFmpeg or rich OBS | ~32–36× 1080p60 encode lanes (hardware), large VRAM | ~12 encode Sessions on GeForce drivers |
| Enterprise GPU — RTX A4000 / RTX Pro 6000 | A4000 16 GB or Pro 6000 96 GB, unlimited Sessions | IPTV, OTT ABR, many parallel transcodes | Pro driver policy scales until NVENC/VRAM/uplink saturate | Higher plan cost; still bound by physical NVENC count |
NVENC vs Sessions
Quick answers on protocols, GPUs, bandwidth, and NVENC sizing for streaming server hosting and live stream hosting.
Match GPU NVENC and bandwidth to your OBS or FFmpeg design on streaming server hosting built for RTMP, HLS, and WebRTC origins.
