Massed Compute48GB VRAMAda Lovelaceenterprise

L40 on Massed Compute

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Massed Compute offers the NVIDIA L40 GPU with 48GB GDDR6 VRAM on the Ada Lovelace architecture, tailored for high-performance VMs in remote workstations and engineering simulations. This enterprise-tier GPU excels in demanding visualization, rendering, Omniverse workflows, and AI inference, delivering up to 91 TFLOPS in tensor float-32 performance. As a boutique provider, Massed Compute stands out with ThinLinc technology, providing low-latency, high-frame-rate remote desktop access essential for interactive GPU workloads. Ideal for ML engineers, data scientists, and simulation specialists needing massive VRAM without on-premises hardware, this offering combines L40's ray-tracing cores and AI accelerators with flexible per-hour billing. Key value propositions include superior remote usability, optimized infrastructure for graphics-intensive tasks, and cost-effective scaling for prototyping or production inference, making it a noteworthy choice over generic clouds for specialized remote compute.

Why NVIDIA L40 on Massed Compute?

Massed Compute paired with NVIDIA L40 uniquely excels for remote workstation users due to ThinLinc's superior remote desktop performance, enabling fluid interaction with the GPU's 48GB VRAM for complex visualizations and large-model inference. Unlike broad providers, their boutique focus optimizes VMs for simulations, with high-speed NVMe storage and robust networking complementing L40's Ada Lovelace strengths in ray tracing and AI acceleration. Per-hour billing offers flexibility for bursty ML prototyping or engineering tasks, reducing costs versus reservations. This combination delivers enterprise reliability with specialized remote access, ideal for teams avoiding latency issues in CAD, V-Ray rendering, or Stable Diffusion deployments.

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Real-time NVIDIA L40 offers from Massed Compute

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Performance Notes

The NVIDIA L40 on Massed Compute provides strong Ada Lovelace performance: ~45 TFLOPS FP32, 91 TFLOPS TF32, and excellent RT core throughput for rendering/inference. Provider infrastructure includes high-bandwidth NVMe storage (exact speeds undocumented, likely 3-7GB/s) and 100Gbps+ networking, supporting data-parallel ML workflows. Multi-GPU scaling possible via NVLink in larger configs, though specific benchmarks are sparse—user reports confirm smooth single-GPU use for 70B-parameter inference. ThinLinc ensures minimal remote perf degradation. Limitations: storage/network details vary by instance; test for your workload as public benchmarks are limited.

About Massed Compute

A boutique provider focusing on high-performance VMs for remote workstations and simulations.

Best For

Remote workstationsEngineering simulations

Unique Features

  • ThinLinc technology for superior remote desktop performance
NVIDIA L40 Specs

VRAM

48GB

Architecture

Ada Lovelace

Tier

enterprise

Platform Features

Access Methods
SSH
Jupyter Notebooks
Web Terminal
API
Kubernetes
Containers
Billing Options
Incrementper-hour
Spot Instances
Reserved Instances
Prepaid Credits
Compliance
SOC 2
HIPAA
GDPR
ISO 27001

Getting Started

Starting with NVIDIA L40 on Massed Compute is simple via their dashboard, with pre-optimized VMs for remote access using ThinLinc. Deploy in minutes for visualization, simulations, or AI tasks, with CUDA drivers ready.

Steps

  1. 1Create a Massed Compute account and verify with payment details.
  2. 2Browse catalog, select L40 GPU instance, customize CPU/RAM/storage.
  3. 3Review pricing, deploy instance—typically provisions in 2-5 minutes.
  4. 4Download ThinLinc client, connect using provided server credentials.
  5. 5Launch remote desktop, install frameworks like PyTorch via NVIDIA NGC.

Pro Tips

  • Enable ThinLinc hardware decoding for optimal remote GPU visualization latency.
  • Pre-populate NVMe storage with datasets to accelerate ML training/inference startup.
  • Track hourly usage via dashboard alerts to control costs on long-running sims.

Frequently Asked Questions

What is Massed Compute's billing model for NVIDIA L40?

Massed Compute bills per-hour for GPU instances including NVIDIA L40. Hourly billing means you pay for full hours even if your job completes mid-hour. Plan your workloads accordingly to maximize cost efficiency.

Does Massed Compute offer spot instances for NVIDIA L40?

No, Massed Compute does not currently offer spot instances for NVIDIA L40. All instances are billed at on-demand rates. However, they do offer reserved instances for committed usage, which can provide significant discounts for long-term workloads.

How can I access NVIDIA L40 instances on Massed Compute?

Massed Compute provides access to NVIDIA L40 instances via SSH, built-in Jupyter notebooks, Docker containers. The built-in Jupyter notebook support makes it easy to start experimenting immediately without additional setup. SSH access gives you full control over the instance for custom configurations and production deployments.

What compliance certifications does Massed Compute have for NVIDIA L40 workloads?

Massed Compute does not have publicly listed compliance certifications. If your workloads require specific compliance standards (SOC 2, HIPAA, GDPR, etc.), contact them directly to discuss your requirements or consider a provider with the necessary certifications.

Can I use NVIDIA L40 with Kubernetes on Massed Compute?

Massed Compute does not prominently advertise native Kubernetes support. You may need to manage your own Kubernetes cluster or use alternative orchestration methods. However, they do support Docker containers, which can be a stepping stone to container orchestration.

What are the specifications of the NVIDIA L40?

The NVIDIA L40 features 48GB of high-bandwidth memory, built on NVIDIA's Ada Lovelace architecture. As an enterprise-tier GPU, it's designed for large-scale AI training, inference at scale, and demanding HPC workloads. The substantial VRAM capacity supports large language models, complex neural networks, and multi-model deployments.

What workloads is NVIDIA L40 on Massed Compute best suited for?

The NVIDIA L40 on Massed Compute is well-suited for large-scale AI/ML training, LLM fine-tuning, batch inference at scale, and high-performance computing workloads. Massed Compute specifically excels at: Remote workstations; Engineering simulations. Consider your model size, training data volume, and latency requirements when evaluating this combination for your specific use case.

Does Massed Compute offer reserved instances for NVIDIA L40?

Yes, Massed Compute offers reserved instance pricing for NVIDIA L40, which can provide significant discounts (typically 20-40% off on-demand rates) for committed usage periods. Reserved instances are ideal for predictable, long-running workloads like production inference services, ongoing training pipelines, or development environments that run continuously. Contact Massed Compute for current reserved pricing and commitment terms.

What unique features does Massed Compute offer for NVIDIA L40?

Massed Compute differentiates itself with: ThinLinc technology for superior remote desktop performance. These features may provide advantages depending on your specific workflow requirements and technical needs. Evaluate how these capabilities align with your ML infrastructure goals when making your decision.

How do I get started with NVIDIA L40 on Massed Compute?

To get started with NVIDIA L40 on Massed Compute, visit https://massedcompute.com?utm_source=gpuperhour&utm_medium=referral to create an account. Most providers offer a straightforward signup process, and some provide initial credits for new users. Once registered, you can typically launch a NVIDIA L40 instance within minutes through their dashboard or API. We recommend starting with a small experiment to familiarize yourself with the platform before scaling up to larger workloads.

Related Pages

Compare L40 Across Providers

The L40 is available from 16 providers on GPUPerHour. Here is how other providers compare:

For a full comparison across all providers, see the L40 rental page. See all GPUs on Massed Compute.