A100 SXM4 80GB on Massed Compute
Visit Massed ComputeMassed Compute offers the NVIDIA A100 SXM4 80GB GPU, an enterprise-grade Ampere architecture card with 80GB HBM2e VRAM, optimized for data center AI, HPC, and analytics workloads. Delivering up to 19.5 TFLOPS FP64, 312 TFLOPS TF32, and exceptional memory bandwidth of 2 TB/s, it handles large-scale model training, inference on massive LLMs, and complex simulations with ease. This boutique provider excels in high-performance VMs tailored for remote workstations and engineering simulations. Their unique ThinLinc technology provides low-latency, high-fidelity remote desktop access, surpassing traditional RDP or VNC for interactive tasks like Jupyter notebooks or CAD visualization. Ideal for ML engineers, data scientists, and simulation experts needing on-demand power without on-premises hardware. Key value propositions include flexible per-hour billing, hassle-free scaling, and superior remote usability. While not a hyperscaler, this setup prioritizes quality remote experience over massive clusters, making it noteworthy for professional remote workflows.
Why NVIDIA A100 SXM4 80GB on Massed Compute?
Opt for Massed Compute's A100 SXM4 80GB when remote interactivity is paramount. ThinLinc delivers responsive desktop performance essential for visualization-intensive ML tasks, simulations, or real-time experimentation—outshining basic SSH/VNC on other providers. Per-hour billing suits variable workloads, allowing cost-effective bursts without long-term commitments. The provider's workstation focus aligns perfectly with the A100's 80GB VRAM for memory-hungry jobs like fine-tuning large models or multi-precision HPC. Boutique scale ensures optimized single/multi-GPU configs and responsive support, though it may lack hyperscaler interconnects for extreme parallelism. This combo shines for solo teams or small groups prioritizing usability over raw cluster size.
Live Pricing
Real-time NVIDIA A100 SXM4 80GB offers from Massed Compute
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 Massed Compute | 8×NVIDIA A100 SXM4 80GB 80GB VRAM | 80GB | 120 vCPU 1800GB RAM 6000GB Storage | Iowa | $1.38/GPU/hr $11.04/hr total (8×) | Available | ||
Massed Compute | 8×NVIDIA A100 SXM4 80GB 80GB VRAM | 80GB | 120 vCPU 1800GB RAM 6000GB Storage | Virginia | $1.38/GPU/hr $11.04/hr total (8×) | Available | ||
Massed Compute | NVIDIA A100 SXM4 80GB 80GB VRAM | 80GB | 16 vCPU 120GB RAM 1000GB Storage | Iowa | $1.38/GPU/hr | Available | ||
Massed Compute | 8×NVIDIA A100 SXM4 80GB 80GB VRAM | 80GB | 126 vCPU 800GB RAM 5000GB Storage | Iowa | $1.38/GPU/hr $11.04/hr total (8×) | Available | ||
Massed Compute | NVIDIA A100 SXM4 80GB 80GB VRAM | 80GB | 16 vCPU 120GB RAM 1000GB Storage | Virginia | $1.38/GPU/hr | Available |
Performance Notes
Expect flagship A100 SXM4 80GB performance on Massed Compute: full Ampere capabilities including MIG partitioning for multi-tenancy, high TFLOPS across precisions, and 80GB VRAM for large datasets/models. Suited for PyTorch/TensorFlow training and HPC codes. Infrastructure details like exact network bandwidth (likely 100Gbps+ Ethernet) or storage IOPS are not publicly specified—contact support for benchmarks. NVMe SSDs support fast I/O for workstations. Multi-GPU scaling works in compatible instances via NVLink, but cluster-scale NVSwitch unknown. ThinLinc enables efficient GPU-accelerated remote viz. Overall, reliable for interactive/remote use; for massive distributed jobs, verify interconnects as boutique providers may trail hyperscalers.
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
Launch Massed Compute's A100 SXM4 80GB effortlessly: sign up, select a GPU instance, deploy, and connect via ThinLinc for a native-like remote desktop. Per-hour billing starts immediately, with pre-built images for ML frameworks accelerating setup for remote workstations or simulations.
Steps
- 1Sign up for a Massed Compute account on their website—no credit card required initially.
- 2Access the dashboard, choose A100 SXM4 80GB instance (select CPU/RAM/storage options).
- 3Review pricing, then click deploy to provision the VM (typically 5-10 minutes).
- 4Retrieve ThinLinc connection details from the console once instance is running.
- 5Download ThinLinc client, connect using provided credentials for full GPU desktop access.
Pro Tips
- Enable local GPU acceleration in ThinLinc client for smoothest remote 3D/ML viz performance.
- Leverage NGC Docker containers for instant PyTorch/CUDA setups, minimizing config time.
- Track hourly usage via dashboard alerts to control costs on long interactive sessions.
Frequently Asked Questions
What is Massed Compute's billing model for NVIDIA A100 SXM4 80GB?▾
Massed Compute bills per-hour for GPU instances including NVIDIA A100 SXM4 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 SXM4 80GB?▾
No, Massed Compute does not currently offer spot instances for NVIDIA A100 SXM4 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 SXM4 80GB?▾
Yes, Massed Compute offers reserved instance pricing for NVIDIA A100 SXM4 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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