A100 SXM4 40GB on Lambda Labs
Visit Lambda LabsLambda Labs delivers the NVIDIA A100 SXM4 40GB, an enterprise-tier Ampere GPU with 40GB HBM2e VRAM, optimized for AI training, inference, and HPC workloads in data centers. As a premier GPU cloud provider and system integrator, Lambda Labs excels in pre-configured environments via its Lambda Stack—featuring Ubuntu, CUDA 12.x, PyTorch, TensorFlow, and Jupyter—allowing ML engineers to start immediately without setup friction. This combination is noteworthy for its balance of raw power and usability: the A100's 19.5 TFLOPS FP64, 312 TFLOPS TF32, and Multi-Instance GPU (MIG) support handle massive models like GPT-3 or Stable Diffusion at scale. Target audience includes ML engineers and data scientists prioritizing productivity over custom builds. Key value propositions: per-hour billing for flexibility (starting ~$1.29/GPU/hr for 1x), deep hardware expertise ensuring reliable clusters, and seamless scaling to 8x A100 configs. Limitations include no spot pricing, but on-demand reliability suits production needs.
Why NVIDIA A100 SXM4 40GB on Lambda Labs?
Choose Lambda Labs for NVIDIA A100 SXM4 40GB due to their system integrator roots, delivering optimized infrastructure that maximizes this GPU's potential. Lambda Stack pre-installs ML frameworks, cutting deployment from hours to minutes—ideal for iterative workflows. Their expertise in custom racks ensures high NVLink bandwidth (600GB/s GPU-to-GPU) and 200Gbps+ Ethernet for multi-node scaling, complementing A100's architecture. Per-hour billing avoids long-term commitments, with transparent pricing (~$1.29-$5/hr per GPU depending on config). Unlike general clouds, Lambda focuses on ML, offering JupyterLab access, infinite storage snapshots, and no egress fees. This combo shines for teams needing enterprise reliability without DevOps overhead, though it lacks hybrid cloud options.
Live Pricing
Real-time NVIDIA A100 SXM4 40GB offers from Lambda Labs
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 Lambda Labs | NVIDIA A100 SXM4 40GB 40GB VRAM | 40GB | 30 vCPU 200GB RAM 512GB Storage | California | $1.29/GPU/hr | Sold Out | ||
Lambda Labs | NVIDIA A100 SXM4 40GB 40GB VRAM | 40GB | 30 vCPU 200GB RAM 512GB Storage | Oregon | $1.99/GPU/hr | Available | ||
Lambda Labs | NVIDIA A100 SXM4 40GB 40GB VRAM | 40GB | 30 vCPU 200GB RAM 512GB Storage | India | $1.99/GPU/hr | Sold Out | ||
Lambda Labs | 8×NVIDIA A100 SXM4 40GB 40GB VRAM | 40GB | 124 vCPU 1800GB RAM 6144GB Storage | Seoul | $1.99/GPU/hr $15.92/hr total (8×) | Sold Out | ||
Lambda Labs | 8×NVIDIA A100 SXM4 40GB 40GB VRAM | 40GB | 124 vCPU 1800GB RAM 6144GB Storage | 🌍global | $1.99/GPU/hr $15.92/hr total (8×) | Sold Out |
Performance Notes
Expect top-tier performance from A100 SXM4 40GB on Lambda: 19.5 TFLOPS FP64, 312 TFLOPS TF32, and 40GB HBM2e for large-batch training (e.g., BERT-large in <1hr on 1x). Lambda's 1x/4x/8x configs leverage NVLink for efficient multi-GPU (up to 7x speedup in DDP). Networking hits 200Gbps RoCE, suitable for distributed training; NVMe storage (up to 30TB) offers 5-10GB/s reads. Benchmarks show strong PyTorch scaling, but exact figures vary by workload—Lambda publishes some MLPerf results. Unknowns: precise inter-node latency without custom testing. Honest caveat: heat/noise optimized for DCs, not edge; power draw (400W/GPU) suits dense clusters.
A premier GPU cloud provider with deep hardware expertise, offering pre-configured environments for ML engineers.
Best For
Unique Features
- Lambda Stack for easy setup
- Deep hardware expertise as a system integrator
VRAM
40GB
Architecture
Ampere
Tier
enterprise
Platform Features
Getting Started
Launching NVIDIA A100 SXM4 40GB on Lambda Labs is streamlined for ML engineers. Sign up, select your config (1x-8x), choose Lambda Stack, and access via SSH or JupyterLab in minutes. Per-hour billing starts immediately; persistent storage and snapshots ensure workflow continuity without reconfigurations.
Steps
- 1Create a free Lambda Labs account at lambdalabs.com and add payment method.
- 2Navigate to 'On-Demand' instances, select 'A100 40GB' (1x/4x/8x), and pick Lambda Stack.
- 3Configure storage (e.g., 1TB NVMe), set SSH key, and click 'Launch'.
- 4Connect via SSH (provided IP/port) or browser-based JupyterLab.
- 5Resize/terminate instance anytime; data persists via snapshots.
Pro Tips
- Leverage Lambda Stack's pre-built Docker images for frameworks like PyTorch Lightning to accelerate prototyping.
- Use multi-GPU configs for training; enable DDP in code and test scaling with NCCL backend for optimal NVLink use.
- Snapshot frequently before shutdowns to avoid data loss; combine with Git for reproducible experiments.
Frequently Asked Questions
What is Lambda Labs's billing model for NVIDIA A100 SXM4 40GB?▾
Lambda Labs bills per-hour for GPU instances including NVIDIA A100 SXM4 40GB. Hourly billing means you pay for full hours even if your job completes mid-hour. Plan your workloads accordingly to maximize cost efficiency.
Does Lambda Labs offer spot instances for NVIDIA A100 SXM4 40GB?▾
No, Lambda Labs does not currently offer spot instances for NVIDIA A100 SXM4 40GB. 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 Lambda Labs offer reserved instances for NVIDIA A100 SXM4 40GB?▾
Yes, Lambda Labs offers reserved instance pricing for NVIDIA A100 SXM4 40GB, 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 Lambda Labs for current reserved pricing and commitment terms.
Related Pages
Rent NVIDIA A100 SXM4 40GB
AWS vs Lambda Labs: GPU Cloud Comparison
Cirrascale vs Lambda Labs: GPU Cloud Comparison
CoreWeave vs Lambda Labs: GPU Cloud Comparison
NVIDIA A10 on Lambda Labs - Pricing & Availability
NVIDIA A100 SXM4 80GB on Lambda Labs - Pricing & Availability
NVIDIA B200 SXM on Lambda Labs - Pricing & Availability
NVIDIA GH200 Grace Hopper on Lambda Labs - Pricing & Availability
NVIDIA A100 SXM4 40GB in Finland - Pricing & Availability
NVIDIA A100 SXM4 40GB in Georgia, United States - Pricing & Availability
NVIDIA A100 SXM4 40GB in Helsinki, Finland - Pricing & Availability