Does the Tesla V100 support BF16?

No. Volta (compute capability 7.0) supports FP16 Tensor Core math but not BF16. Recipes that require BF16 need an Ampere or newer GPU such as the A100 or RTX 3090.

Tesla V100 or RTX 4060 Ti 16 GB?

Both have 16 GB. The V100 is listed with much higher bandwidth, 780 vs 236 GB/s, which helps LLM decoding; the RTX 4060 Ti has more FP32 (21.6 TFLOPS) and BF16 support on Ada Lovelace.

Can I fine-tune LLMs on a V100?

Small ones. QLoRA on 7B models fits in 16 GB, using FP16 instead of BF16. For larger models or longer sequences, a 24 GB or 40 GB card is more practical.

How do I get started with a Tesla V100 on Cloudj?

Choose a template, check that your CUDA and framework versions support Volta, pick an available V100 configuration and confirm the price. Connect over SSH with your key; usage is billed per minute from your balance.

GPU Cloud · NVIDIA · Volta

Rent an NVIDIA Tesla V100 GPU with 16 GB VRAM

Name: NVIDIA Tesla V100 cloud GPU
Brand: Cloudj
Availability: InStock

Rent Tesla V100 cloud GPU servers by the hour on Cloudj: 16 GB VRAM, NVIDIA Volta and about 780 GB/s memory bandwidth with 12.5 TFLOPS FP32. The V100 introduced Tensor Cores and remains a solid datacenter card for FP16 mixed-precision training, research reproduction and mid-size inference at a 300 W power limit. Pick a live configuration, start from the Ubuntu 22.04 + CUDA or PyTorch + JupyterLab template and connect over SSH with your key.

Rent Tesla V100 All GPUs

Tesla V100 specifications

VRAM per GPU

16 GB

Architecture

NVIDIA Volta

Compute capability

FP32 compute

≈ 12.5 TFLOPS

Memory bandwidth

≈ 780 GB/s

Power limit

300 W

Values reported by the infrastructure provider for machines currently listed; real performance varies by machine.

Live Tesla V100 configurations and prices

From $0.15/h

incl. 32 GB disk · Live price, updated every 15 minutes

Deploy

What you can run on the Tesla V100 cloud GPU

FP16 mixed-precision training

Volta Tensor Cores accelerate FP16 training for CNNs, small transformers and speech models.

Reproduce published results

Many papers and baselines were trained on V100s; rerun them on the same architecture for comparable numbers.

7B LLMs quantized

16 GB runs 7B–8B models at 8-bit or 13B-class models at 4-bit for testing and light serving.

HPC and scientific computing

780 GB/s of bandwidth helps simulations, solvers and memory-bound scientific codes.

Is the Tesla V100 the right GPU for your workload?

The 16 GB Tesla V100 suits researchers and developers who need high memory bandwidth for small-to-medium models and scientific workloads without paying for newer datacenter hardware. Choose a smaller consumer GPU for basic development with lower memory needs, or step up to a newer generation GPU with larger VRAM if your models exceed 16 GB or require newer architectural features beyond compute capability 7.0.

Tesla V100 vs similar cloud GPUs

GPU	VRAM per GPU	FP32 compute	Power limit
NVIDIA Tesla V100	16 GB	≈ 12.5 TFLOPS	300 W
NVIDIA Tesla P40	24 GB	≈ 9.4 TFLOPS	250 W	Details →
NVIDIA L4	24 GB	≈ 24.2 TFLOPS	72 W	Details →
NVIDIA A100 PCIE	40 GB	≈ 15.6 TFLOPS	250 W	Details →
NVIDIA A100 SXM4	40 GB	≈ 15.6 TFLOPS	400 W	Details →

Guides for Tesla V100

V100 cloud GPU cheap? When a Tesla V100 is still worth rentingLooking for a V100 cloud GPU cheap enough for legacy CUDA or double-precision work? Learn the 16 GB limits, what still runs well and when a newer card wins.GPU cloud Asia guide: Japan, Singapore, Korea and nearbyA practical GPU cloud Asia guide: which country codes to search for East and Southeast Asian users, a fallback order, and how to pair a GPU with a VPS.GPU cloud by location: how to pick a country for your GPUHow GPU cloud by location works on Cloudj: filter a live list of machines by country code, decide between near users, lowest price or data rules.GPU cloud Europe: choosing a country for your AI workloadsA practical guide to GPU cloud Europe searches: filter by several country codes at once, weigh Western, Nordic and Eastern hosts, and plan where data lives.

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Tesla V100 cloud GPU: frequently asked questions

Rent the Tesla V100 cloud GPU by the hour

Pick a live configuration, choose a template and connect over SSH with your key. Billing stops when you destroy the instance.

Rent Tesla V100 All GPUs