A100 PCIe 80GB on Massed Compute
Visit Massed ComputeMassed Compute offers the NVIDIA A100 PCIe 80GB GPU in high-performance virtual machines tailored for remote workstations and engineering simulations. This enterprise-tier Ampere GPU provides 80GB GDDR6 VRAM, enabling ML engineers to tackle memory-intensive workloads like training large language models, high-resolution image generation, and complex HPC simulations that overwhelm lesser GPUs. The combination stands out due to Massed Compute's ThinLinc technology, delivering low-latency, high-fidelity remote desktop access superior to standard VNC or RDP, ideal for distributed teams needing seamless graphical interaction. Per-hour billing offers flexibility for bursty or experimental workloads without long-term lock-in. Targeted at data scientists, AI researchers, and simulation engineers, key value propositions include boutique-grade reliability, ample VRAM for oversized batches/datasets, and optimized infrastructure minimizing remote access bottlenecks. While not the cheapest option, it excels where remote usability and GPU potency intersect.
Why NVIDIA A100 PCIe 80GB on Massed Compute?
Massed Compute pairs the A100 PCIe 80GB with strengths in remote workstation excellence, making it ideal for users needing high-fidelity GPU access without local hardware. ThinLinc technology provides buttery-smooth remote desktops, outperforming commoditized cloud RDP for visualization-heavy ML tasks like tensorboard or CAD sims. Boutique focus ensures low oversubscription, delivering consistent A100 performance for AI/HPC. Per-hour billing suits intermittent use, complementing the GPU's versatility in FP64-heavy simulations or transformer training. Unlike hyperscalers, this setup prioritizes single/multi-GPU VMs for engineering workflows, offering 80GB VRAM without SXM premiums. Choose this for superior remote ergonomics enhancing the A100's compute density.
Live Pricing
Real-time NVIDIA A100 PCIe 80GB offers from Massed Compute
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
![]() Massed Compute | 8×NVIDIA A100 PCIe 80GB 80GB VRAM | 80GB | 120 vCPU 768GB RAM 4096GB Storage | Iowa | $1.25/GPU/hr $10.00/hr total (8×) | Sold Out | ||
![]() Massed Compute | 2×NVIDIA A100 PCIe 80GB 80GB VRAM | 80GB | 30 vCPU 150GB RAM 1024GB Storage | Iowa | $1.35/GPU/hr $2.70/hr total (2×) | Available | ||
![]() Massed Compute | NVIDIA A100 PCIe 80GB 80GB VRAM | 80GB | 16 vCPU 96GB RAM 512GB Storage | Iowa | $1.35/GPU/hr | Available | ||
![]() Massed Compute | NVIDIA A100 PCIe 80GB 80GB VRAM | 80GB | 16 vCPU 96GB RAM 512GB Storage | Iowa | $1.35/GPU/hr | Sold Out | ||
![]() Massed Compute | 4×NVIDIA A100 PCIe 80GB 80GB VRAM | 80GB | 60 vCPU 300GB RAM 2048GB Storage | Iowa | $1.35/GPU/hr $5.40/hr total (4×) | Sold Out |





Performance Notes
Expect flagship A100 PCIe 80GB performance on Massed Compute: ~19.5 TFLOPS FP64, 156 TFLOPS TF32, and 624 TFLOPS FP16 (with sparsity) for AI training/inference. 80GB GDDR6 handles massive models/datasets effectively. Network bandwidth likely 10-100Gbps, adequate for remote VMs but unspecified—suitable for single-node work, less optimal for massive distributed jobs. Fast NVMe storage options support quick data loading. Multi-GPU scaling via PCIe (no NVLink) limits bandwidth vs. SXM variants; provider supports configs for workstations, but cluster-scale unknown. ThinLinc adds negligible overhead. Limited public benchmarks; user feedback highlights responsive remote perf, though confirm via trial for your workload.
A boutique provider focusing on high-performance VMs for remote workstations and simulations.
Best For
Unique Features
- ThinLinc technology for superior remote desktop performance
VRAM
80GB
Architecture
Ampere
Tier
enterprise
Platform Features
Getting Started
Launching NVIDIA A100 PCIe 80GB on Massed Compute is user-friendly for ML pros. Sign up via their site, select from pre-configured high-perf VM templates optimized for AI/simulations, customize specs, and deploy. ThinLinc enables instant low-latency remote access; SSH/VNC alternatives available. Per-hour billing starts immediately upon launch, with easy scaling.
Steps
- 1Create a free account on the Massed Compute website and verify email.
- 2Navigate to VM dashboard, select A100 PCIe 80GB instance type.
- 3Configure CPU/RAM/storage/OS (e.g., Ubuntu with CUDA pre-installed).
- 4Launch instance; note IP and ThinLinc credentials provided.
- 5Connect via ThinLinc client or SSH, install ML frameworks like PyTorch.
Pro Tips
- Prioritize ThinLinc for graphical tasks—install client locally for sub-50ms latency on sims/visualizations.
- Pre-warm datasets on NVMe storage to maximize A100's memory bandwidth for training runs.
- Track usage dashboard for per-hour costs; snapshot instances to resume workflows cost-effectively.
Frequently Asked Questions
What is Massed Compute's billing model for NVIDIA A100 PCIe 80GB?▾
Massed Compute bills per-hour for GPU instances including NVIDIA A100 PCIe 80GB. 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 A100 PCIe 80GB?▾
No, Massed Compute does not currently offer spot instances for NVIDIA A100 PCIe 80GB. 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.
Does Massed Compute offer reserved instances for NVIDIA A100 PCIe 80GB?▾
Yes, Massed Compute offers reserved instance pricing for NVIDIA A100 PCIe 80GB, 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.
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