Remote Video Editing | PostForward

PostForward: GPU-Accelerated Cloud for Post-Production

PostForward delivers GPU-accelerated, high-performance computing tailored for post-production teams in visual effects, video editing, color grading, and animation. The platform is built for low-latency, real-time applications and collaborative workflows, giving studios flexible, scalable infrastructure without the burden of on-premises hardware.

Power Your Projects with Scalable Cloud Resources

Multiple GPU options to match your performance and budget needs
Unlimited virtual machines for seamless horizontal scaling
Pay-as-you-go pricing so you only pay for what you use

Whether you’re rendering complex scenes, running AI-driven tools, or handling multi-stream 4K/8K timelines, PostForward lets you dial resources up or down instantly.

Flexible GPU Choices

Choose the right GPU tier for each workload:

Entry-Level GPUs – Ideal for basic editing, light compositing, and general-purpose tasks.
High-Performance GPUs – Optimized for demanding VFX, color grading, and heavier timelines.
Ultra-High-End GPUs – Designed for complex rendering, large-scale simulations, and AI/ML workloads.

Mix and match GPU types across virtual machines so each artist or pipeline stage gets exactly the power it needs.

Collaborative Workflow

Enable distributed teams to work together as if they were in the same studio:

Real-time collaboration from anywhere – Artists can access GPU workstations remotely with low latency.
Secure file sharing and version control – Centralized storage and controlled access keep assets organized and protected.
Streamlined review and approval – Directors and supervisors can review shots, leave feedback, and approve iterations quickly.

This makes PostForward ideal for hybrid and fully remote teams working across time zones.

Scalable Virtual Machines

Start small and scale up instantly – Spin up new GPU-enabled workstations on demand.
Handle projects of any size – From small boutique jobs to feature films and long-form series.
Eliminate hardware constraints – No more waiting on render queues or being limited by local workstations.

You can run multiple virtual machines per artist or per project, and adjust specs as requirements change.

Cost-Effective Solution

No upfront hardware investment – Avoid large capital expenditures on workstations, GPUs, and servers.
Scale resources up or down as needed – Align infrastructure costs with active projects.
Reduce on-premises IT costs – Minimize maintenance, upgrades, and physical space requirements.

This model is especially beneficial for studios with fluctuating workloads or project-based revenue.

Pricing Tiers

Basic System – $1.00/hour

8-Core Intel Xeon CPU
32 GB RAM
300 GB SSD OS drive
NVIDIA Quadro RTX 4000
2 TB ephemeral NVMe storage
Full administrator control
Multiple OS options
Teradici / Parsec remote access

Ideal for light to moderate editing, conform, prep work, and general production tasks.

Standard – $1.60/hour

12-Core Intel Xeon CPU
64 GB RAM
300 GB SSD OS drive
NVIDIA RTX A4000
2 TB ephemeral NVMe storage

Great for heavier timelines, more complex compositing, and mid-level VFX or grading workloads.

Power User – $3.30/hour

24-Core Intel Xeon CPU
128 GB RAM
300 GB SSD OS drive
NVIDIA RTX A6000
2 TB ephemeral NVMe storage

Built for power users handling complex simulations, high-resolution renders, advanced color grading, and GPU-intensive AI tasks.

Example: Three-Person VFX Team

A three-person creative team working 175 hours per month on visual effects can run:

3 GPU-enabled workstations (one per artist)
5 TB of shared storage for project assets and media

for approximately $1,000 per month.

This setup:

Eliminates the need for expensive on-premises workstations and servers
Enables seamless collaboration and centralized asset management
Lets the team scale resources up or down as project demands change

PostForward gives studios and creative teams a production-ready, cloud-based environment optimized for post-production, so they can focus on delivering high-quality work instead of managing hardware.